index int64 0 20.3k | text stringlengths 0 1.3M | year stringdate 1987-01-01 00:00:00 2024-01-01 00:00:00 | No stringlengths 1 4 |
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2,600 | A Method for Inferring Label Sampling Mechanisms in Semi-Supervised Learning Saharon Rosset Data Analytics Research Group IBM T.J. Watson Research Center Yorktown Heights, NY 10598 srosset@us.ibm.com Ji Zhu Department of Statistics University of Michigan Ann Arbor, MI 48109 jizhu@umich.edu Hui Z... | 2004 | 184 |
2,601 | Semi-Markov Conditional Random Fields for Information Extraction Sunita Sarawagi Indian Institute of Technology Bombay, India sunita@iitb.ac.in William W. Cohen Center for Automated Learning & Discovery Carnegie Mellon University wcohen@cs.cmu.edu Abstract We describe semi-Markov conditional rando... | 2004 | 185 |
2,602 | Adaptive Manifold Learning Jing Wang, Zhenyue Zhang Department of Mathematics Zhejiang University, Yuquan Campus, Hangzhou, 310027, P. R. China wroaring@sohu.com zyzhang@zju.edu.cn Hongyuan Zha Department of Computer Science Pennsylvania State University University Park, PA 16802 zha@cse.psu.edu ... | 2004 | 186 |
2,603 | Euclidean Embedding of Co-occurrence Data Amir Globerson1 Gal Chechik2 Fernando Pereira3 Naftali Tishby1 1 School of computer Science and Engineering, Interdisciplinary Center for Neural Computation The Hebrew University Jerusalem, 91904, Israel 2 Computer Science Department, Stanford University, Stanford, CA... | 2004 | 187 |
2,604 | Heuristics for Ordering Cue Search in Decision Making Peter M. Todd Anja Dieckmann Center for Adaptive Behavior and Cognition MPI for Human Development Lentzeallee 94, 14195 Berlin, Germany ptodd@mpib-berlin.mpg.de ... | 2004 | 188 |
2,605 | Coarticulation in Markov Decision Processes Khashayar Rohanimanesh Department of Computer Science University of Massachusetts Amherst, MA 01003 khash@cs.umass.edu Robert Platt Department of Computer Science University of Massachusetts Amherst, MA 01003 rplatt@cs.umass.edu Sridhar Mahadevan Dep... | 2004 | 189 |
2,606 | Discrete profile alignment via constrained information bottleneck Sean O’Rourke∗ seano@cs.ucsd.edu Gal Chechik† gal@stanford.edu Robin Friedman∗ rcfriedm@ucsd.edu Eleazar Eskin∗ eeskin@cs.ucsd.edu Abstract Amino acid profiles, which capture position-specific mutation probabilities, are a richer encod... | 2004 | 19 |
2,607 | Integrating Topics and Syntax Thomas L. Griffiths Mark Steyvers gruffydd@mit.edu msteyver@uci.edu Massachusetts Institute of Technology University of California, Irvine Cambridge, MA 02139 Irvine, CA 92614 David M. Blei Joshua B. Tenenbaum blei@cs.berkeley.edu jbt@mit.edu University of Californ... | 2004 | 190 |
2,608 | Object Classification from a Single Example Utilizing Class Relevance Metrics Michael Fink Interdisciplinary Center for Neural Computation The Hebrew University, Jerusalem 91904, Israel fink@huji.ac.il Abstract We describe a framework for learning an object classifier from a single example. This goal is a... | 2004 | 191 |
2,609 | A Large Deviation Bound for the Area Under the ROC Curve Shivani Agarwal∗, Thore Graepel†, Ralf Herbrich† and Dan Roth∗ ∗Dept. of Computer Science University of Illinois Urbana, IL 61801, USA {sagarwal,danr}@cs.uiuc.edu †Microsoft Research 7 JJ Thomson Avenue Cambridge CB3 0FB, UK {thoreg,rherb}@mic... | 2004 | 192 |
2,610 | Adaptive Discriminative Generative Model and Its Applications Ruei-Sung Lin† David Ross‡ Jongwoo Lim† Ming-Hsuan Yang∗ †University of Illinois ‡University of Toronto ∗Honda Research Institute rlin1@uiuc.edu dross@cs.toronto.edu jlim1@uiuc.edu myang@honda-ri.com Abstract This paper presents an adap... | 2004 | 193 |
2,611 | Optimal sub-graphical models Mukund Narasimhan∗and Jeff Bilmes∗ Dept. of Electrical Engineering University of Washington Seattle, WA 98195 {mukundn,bilmes}@ee.washington.edu Abstract We investigate the problem of reducing the complexity of a graphical model (G, PG) by finding a subgraph H of G, chosen fr... | 2004 | 194 |
2,612 | Modeling Conversational Dynamics as a Mixed-Memory Markov Process Tanzeem Choudhury Intel Research tanzeem.choudhury@intel.com Abstract Sumit Basu Microsoft Research sumitb@microsoft.com In this work, we quantitatively investigate the ways in which a given person influences the joint turn-... | 2004 | 195 |
2,613 | Generalization Error Bounds for Collaborative Prediction with Low-Rank Matrices Nathan Srebro Department of Computer Science University of Toronto Toronto, ON, Canada nati@cs.toronto.edu Noga Alon School of Mathematical Sciences Tel Aviv University Ramat Aviv, Israel nogaa@tau.ac.il Tommi S. Jaa... | 2004 | 196 |
2,614 | Incremental Learning for Visual Tracking Jongwoo Lim† David Ross‡ Ruei-Sung Lin† Ming-Hsuan Yang∗ † University of Illinois ‡ University of Toronto ∗Honda Research Institute jlim1@uiuc.edu dross@cs.toronto.edu rlin1@uiuc.edu myang@honda-ri.com Abstract Most existing tracking algorithms construc... | 2004 | 197 |
2,615 | Face Detection — Efficient and Rank Deficient Wolf Kienzle, G¨okhan Bakır, Matthias Franz and Bernhard Sch¨olkopf Max-Planck-Institute for Biological Cybernetics Spemannstr. 38, D-72076 T¨ubingen, Germany {kienzle, gb, mof, bs}@tuebingen.mpg.de Abstract This paper proposes a method for computing fast approxim... | 2004 | 198 |
2,616 | A Temporal Kernel-Based Model for Tracking Hand-Movements from Neural Activities Lavi Shpigelman12 Koby Crammer1 Rony Paz23 Eilon Vaadia23 Yoram Singer1 1 School of computer Science and Engineering 2 Interdisciplinary Center for Neural Computation 3 Dept. of Physiology, Hadassah Medical School The Hebrew Un... | 2004 | 199 |
2,617 | A Second order Cone Programming Formulation for Classifying Missing Data Chiranjib Bhattacharyya Department of Computer Science and Automation Indian Institute of Science Bangalore, 560 012, India chiru@csa.iisc.ernet.in Pannagadatta K. S. Department of Electrical Engineering Indian Institute of Scien... | 2004 | 2 |
2,618 | Multiple Relational Embedding Roland Memisevic Department of Computer Science University of Toronto roland@cs.toronto.edu Geoffrey Hinton Department of Computer Science University of Toronto hinton@cs.toronto.edu Abstract We describe a way of using multiple different types of similarity relationship... | 2004 | 20 |
2,619 | On-Chip Compensation of Device-Mismatch Effects in Analog VLSI Neural Networks Miguel Figueroa Department of Electrical Engineering, Universidad de Concepci´on Casilla 160-C, Correo 3, Concepci´on, Chile mfigueroa@die.udec.cl Seth Bridges and Chris Diorio Computer Science & Engineering, University of Washi... | 2004 | 200 |
2,620 | At the Edge of Chaos: Real-time Computations and Self-Organized Criticality in Recurrent Neural Networks Thomas Natschl¨ager Software Competence Center Hagenberg A-4232 Hagenberg, Austria Thomas.Natschlaeger@scch.at Nils Bertschinger Max Planck Institute for Mathematics in the Sciences D-04103 Leipz... | 2004 | 201 |
2,621 | Trait selection for assessing beef meat quality using non-linear SVM J.J. del Coz, G. F. Bay´on, J. D´ıez, O. Luaces, A. Bahamonde Artificial Intelligence Center University of Oviedo at Gij´on juanjo@aic.uniovi.es Carlos Sa˜nudo Facultad de Veterinaria University of Zaragoza csanudo@posta.unizar.es ... | 2004 | 202 |
2,622 | Sharing Clusters Among Related Groups: Hierarchical Dirichlet Processes Yee Whye Teh(1), Michael I. Jordan(1,2), Matthew J. Beal(3) and David M. Blei(1) (1)Computer Science Div., (2)Dept. of Statistics University of California at Berkeley Berkeley CA 94720, USA {ywteh,jordan,blei}@cs.berkeley.edu (3)Dept.... | 2004 | 203 |
2,623 | Spike-Timing Dependent Plasticity and Mutual Information Maximization for a Spiking Neuron Model Taro Toyoizumi†‡, Jean-Pascal Pfister‡ Kazuyuki Aihara§ ∗, Wulfram Gerstner‡ † Department of Complexity Science and Engineering, The University of Tokyo, 153-8505 Tokyo, Japan ‡ Ecole Polytechnique F´ed´era... | 2004 | 204 |
2,624 | Approximately Efficient Online Mechanism Design David C. Parkes DEAS, Maxwell-Dworkin Harvard University parkes@eecs.harvard.edu Satinder Singh Comp. Science and Engin. University of Michigan baveja@umich.edu Dimah Yanovsky Harvard College yanovsky@fas.harvard.edu Abstract Online mechanism de... | 2004 | 205 |
2,625 | Comparing Beliefs, Surveys and Random Walks Erik Aurell SICS, Swedish Institute of Computer Science P.O. Box 1263, SE-164 29 Kista, Sweden and Dept. of Physics, KTH – Royal Institute of Technology AlbaNova – SCFAB SE-106 91 Stockholm, Sweden eaurell@sics.se Uri Gordon and Scott Kirkpatrick School of E... | 2004 | 206 |
2,626 | Theories Of Access Consciousness Michael D. Colagrosso Department of Computer Science Colorado School of Mines Golden, CO 80401 USA mcolagro@mines.edu Michael C. Mozer Institute of Cognitive Science University of Colorado Boulder, CO 80309 USA mozer@colorado.edu Abstract Theories of access consc... | 2004 | 207 |
2,627 | Conditional Models of Identity Uncertainty with Application to Noun Coreference Andrew McCallum† †Department of Computer Science University of Massachusetts Amherst Amherst, MA 01003 USA mccallum@cs.umass.edu Ben Wellner†∗ ∗The MITRE Corporation 202 Burlington Road Bedford, MA 01730 USA wellner@cs... | 2004 | 21 |
2,628 | Outlier Detection with One-class Kernel Fisher Discriminants Volker Roth ETH Zurich, Institute of Computational Science Hirschengraben 84, CH-8092 Zurich vroth@inf.ethz.ch Abstract The problem of detecting “atypical objects” or “outliers” is one of the classical topics in (robust) statistics. Recently, ... | 2004 | 22 |
2,629 | Kernel Projection Machine: a New Tool for Pattern Recognition∗ Gilles Blanchard Fraunhofer First (IDA), K´ekul´estr. 7, D-12489 Berlin, Germany blanchar@first.fhg.de Pascal Massart D´epartement de Math´ematiques, Universit´e Paris-Sud, Bat. 425, F-91405 Orsay, France Pascal.Massart@math.u-psud.fr ... | 2004 | 23 |
2,630 | Seeing through water Alexei A. Efros∗ School of Computer Science Carnegie Mellon University Pittsburgh, PA 15213, U.S.A. efros@cs.cmu.edu Volkan Isler, Jianbo Shi and Mirk´o Visontai Dept. of Computer and Information Science University of Pennsylvania Philadelphia, PA 19104 {isleri,jshi,mirko}@cis.u... | 2004 | 24 |
2,631 | Generative Affine Localisation and Tracking John Winn Andrew Blake Microsoft Research Cambridge Roger Needham Building 7 J. J. Thomson Avenue Cambridge CB3 0FB, U.K http://research.microsoft.com/mlp Abstract We present an extension to the Jojic and Frey (2001) layered sprite model which allows for la... | 2004 | 25 |
2,632 | Schema Learning: Experience-Based Construction of Predictive Action Models Michael P. Holmes College of Computing Georgia Institute of Technology Atlanta, GA 30332-0280 mph@cc.gatech.edu Charles Lee Isbell, Jr. College of Computing Georgia Institute of Technology Atlanta, GA 30332-0280 isbell@cc.g... | 2004 | 26 |
2,633 | Machine Learning Applied to Perception: Decision-Images for Gender Classification Felix A. Wichmann and Arnulf B. A. Graf Max Planck Institute for Biological Cybernetics T¨ubingen, Germany felix.wichmann@tuebingen.mpg.de Eero P. Simoncelli Howard Hughes Medical Institute Center for Neural Science New Y... | 2004 | 27 |
2,634 | An Information Maximization Model of Eye Movements Laura Walker Renninger, James Coughlan, Preeti Verghese Smith-Kettlewell Eye Research Institute {laura, coughlan, preeti}@ski.org Jitendra Malik University of California, Berkeley malik@eecs.berkeley.edu Abstract We propose a sequ... | 2004 | 28 |
2,635 | Learning Hyper-Features for Visual Identification Andras Ferencz Erik G. Learned-Miller Jitendra Malik Computer Science Division, EECS University of California at Berkeley Berkeley, CA 94720 Abstract We address the problem of identifying specific instances of a class (cars) from a set of images all be... | 2004 | 29 |
2,636 | Learning first-order Markov models for control Pieter Abbeel Computer Science Department Stanford University Stanford, CA 94305 Andrew Y. Ng Computer Science Department Stanford University Stanford, CA 94305 Abstract First-order Markov models have been successfully applied to many problems, for examp... | 2004 | 3 |
2,637 | Parametric Embedding for Class Visualization Tomoharu Iwata, Kazumi Saito, Naonori Ueda NTT Communication Science Laboratories NTT Corporation 2-4 Hikaridai Seika-Cho Soraku-gun Kyoto, 619-0237 JAPAN {iwata,saito,ueda}@cslab.kecl.ntt.co.jp Sean Stromsten, Thomas L. Griffiths, Joshua B. Tenenbaum Department... | 2004 | 30 |
2,638 | A Topographic Support Vector Machine: Classification Using Local Label Configurations Johannes Mohr Clinic for Psychiatry and Psychotherapy Charit´e Medical School and Bernstein Center for Computational Neuroscience Berlin 10117 Berlin, Germany Klaus Obermayer Department of Electrical Engineering and Co... | 2004 | 31 |
2,639 | New Criteria and a New Algorithm for Learning in Multi-Agent Systems Rob Powers Computer Science Department Stanford University Stanford, CA 94305 powers@cs.stanford.edu Yoav Shoham Computer Science Department Stanford University Stanford, CA 94305 shoham@cs.stanford.edu Abstract We propose a ... | 2004 | 32 |
2,640 | The cerebellum chip: an analog VLSI implementation of a cerebellar model of classical conditioning Constanze Hofstötter, Manuel Gil, Kynan Eng, Giacomo Indiveri, Matti Mintz, Jörg Kramer* and Paul F. M. J. Verschure Institute of Neuroinformatics University/ETH Zurich CH-8057 Zu... | 2004 | 33 |
2,641 | Pictorial Structures for Molecular Modeling: Interpreting Density Maps Frank DiMaio, Jude Shavlik George Phillips Department of Computer Sciences Department of Biochemistry University of Wisconsin-Madison University of Wisconsin-Madison {dimaio,shavlik}@cs.wisc.edu philli... | 2004 | 34 |
2,642 | Support Vector Classification with Input Data Uncertainty Jinbo Bi Computer-Aided Diagnosis & Therapy Group Siemens Medical Solutions, Inc. Malvern, PA 19355 jinbo.bi@siemens.com Tong Zhang IBM T. J. Watson Research Center Yorktown Heights, NY 10598 tzhang@watson.ibm.com Abstract This paper inves... | 2004 | 35 |
2,643 | Planning for Markov Decision Processes with Sparse Stochasticity Maxim Likhachev Geoff Gordon Sebastian Thrun School of Computer Science School of Computer Science Dept. of Computer Science Carnegie Mellon University Carnegie Mellon University Stanford University Pittsburgh, PA 15213 Pittsburgh,... | 2004 | 36 |
2,644 | Expectation Consistent Free Energies for Approximate Inference Manfred Opper ISIS School of Electronics and Computer Science University of Southampton SO17 1BJ, United Kingdom mo@ecs.soton.ac.uk Ole Winther Informatics and Mathematical Modelling Technical University of Denmark DK-2800 Lyngby, ... | 2004 | 37 |
2,645 | Using Machine Learning to Break Visual Human Interaction Proofs (HIPs) Kumar Chellapilla Patrice Y. Simard Microsoft Research Microsoft Research One Microsoft Way One Microsoft Way Redmond, WA 98052 Redmond, WA 98052 kumarc@microsoft.com patrice@microsoft.com ... | 2004 | 38 |
2,646 | Making Latin Manuscripts Searchable using gHMM’s Jaety Edwards Yee Whye Teh David Forsyth Roger Bock Michael Maire Grace Vesom {jaety,ywteh,daf,bock,mmaire}@cs.berkeley.edu Department of Computer Science UC Berkeley Berkeley, CA 94720 Abstract We describe a method that can make a scanned, handwritten ... | 2004 | 39 |
2,647 | Who’s in the Picture? Tamara L. Berg, Alexander C. Berg, Jaety Edwards and D.A. Forsyth Computer Science Division U.C. Berkeley Berkeley, CA 94720 millert@cs.berkeley.edu Abstract The context in which a name appears in a caption provides powerful cues as to who is depicted in the associated image. We ob... | 2004 | 4 |
2,648 | Nonparametric Transforms of Graph Kernels for Semi-Supervised Learning Xiaojin Zhu† Jaz Kandola‡ Zoubin Ghahramani‡† John Lafferty† †School of Computer Science ‡Gatsby Computational Neuroscience Unit Carnegie Mellon University University College London 5000 Forbes Avenue 17 Queen Square Pittsbur... | 2004 | 40 |
2,649 | Sparse Coding of Natural Images Using an Overcomplete Set of Limited Capacity Units Eizaburo Doi Center for the Neural Basis of Cognition Carnegie Mellon University Pittsburgh, PA 15213 edoi@cnbc.cmu.edu Michael S. Lewicki Center for the Neural Basis of Cognition Computer Science Department Carnegie... | 2004 | 41 |
2,650 | Optimal information decoding from neuronal populations with specific stimulus selectivity Marcelo A. Montemurro The University of Manchester Faculty of Life Sciences Moffat Building PO Box 88, Manchester M60 1QD, UK m.montemurro@manchester.ac.uk Stefano Panzeri ∗ The University of Manchester Faculty ... | 2004 | 42 |
2,651 | Implicit Wiener Series for Higher-Order Image Analysis Matthias O. Franz Bernhard Sch¨olkopf Max-Planck-Institut f¨ur biologische Kybernetik Spemannstr. 38, D-72076 T¨ubingen, Germany mof;bs@tuebingen.mpg.de Abstract The computation of classical higher-order statistics such as higher-order moments or ... | 2004 | 43 |
2,652 | Following Curved Regularized Optimization Solution Paths Saharon Rosset IBM T.J. Watson Research Center Yorktown Heights, NY 10598 srosset@us.ibm.com Abstract Regularization plays a central role in the analysis of modern data, where non-regularized fitting is likely to lead to over-fitted models, useless ... | 2004 | 44 |
2,653 | Learning, Regularization and Ill-Posed Inverse Problems Lorenzo Rosasco DISI, Universit`a di Genova Genova, I rosasco@disi.unige.it Andrea Caponnetto DISI, Universit`a di Genova Genova, I caponnetto@disi.unige.it Ernesto De Vito Dipartimento di Matematica Universit`a di Modena and INFN, Sezion... | 2004 | 45 |
2,654 | Density Level Detection is Classification Ingo Steinwart, Don Hush and Clint Scovel Modeling, Algorithms and Informatics Group, CCS-3 Los Alamos National Laboratory {ingo,dhush,jcs}@lanl.gov Abstract We show that anomaly detection can be interpreted as a binary classification problem. Using this interpretatio... | 2004 | 46 |
2,655 | Learning syntactic patterns for automatic hypernym discovery Rion Snow Computer Science Department Stanford University Stanford, CA 94305 rion@cs.stanford.edu Daniel Jurafsky Linguistics Department Stanford University Stanford, CA 94305 jurafsky@stanford.edu Andrew Y. Ng Computer Science Depar... | 2004 | 47 |
2,656 | Joint Tracking of Pose, Expression, and Texture using Conditionally Gaussian Filters Tim K. Marks John Hershey Department of Cognitive Science University of California San Diego La Jolla, CA 92093-0515 tkmarks@cogsci.ucsd.edu hershey@microsoft.com J. Cooper Roddey Javier R. Movellan Institute for ... | 2004 | 48 |
2,657 | Multiple Alignment of Continuous Time Series Jennifer Listgarten†, Radford M. Neal†, Sam T. Roweis† and Andrew Emili‡ † Department of Computer Science, ‡ Banting and Best Department of Medical Research and Program in Proteomics and Bioinformatics University of Toronto, Toronto, Ontario, M5S 3G4 {jenn,radford,... | 2004 | 49 |
2,658 | Optimal Aggregation of Classifiers and Boosting Maps in Functional Magnetic Resonance Imaging Vladimir Koltchinskii Department of Mathematics and Statistics University of New Mexico Albuquerque, NM, 87131 Manel Mart´ınez-Ram´on Department of Electrical and Computer Engineering University of New Mexico ... | 2004 | 5 |
2,659 | Hierarchical Clustering of a Mixture Model Jacob Goldberger Sam Roweis Department of Computer Science, University of Toronto {jacob,roweis}@cs.toronto.edu Abstract In this paper we propose an efficient algorithm for reducing a large mixture of Gaussians into a smaller mixture while still preserving the comp... | 2004 | 50 |
2,660 | Hierarchical Bayesian Inference in Networks of Spiking Neurons Rajesh P. N. Rao Department of Computer Science and Engineering University of Washington, Seattle, WA 98195 rao@cs.washington.edu Abstract There is growing evidence from psychophysical and neurophysiological studies that the brain utilizes B... | 2004 | 51 |
2,661 | Efficient Kernel Discriminant Analysis via QR Decomposition Tao Xiong Department of ECE University of Minnesota txiong@ece.umn.edu Jieping Ye Department of CSE University of Minnesota jieping@cs.umn.edu Qi Li Department of CIS University of Delaware qili@cis.udel.edu Vladimir Cherkassky Dep... | 2004 | 52 |
2,662 | Semi-parametric exponential family PCA Sajama Alon Orlitsky Department of Electrical and Computer Engineering University of California at San Diego, La Jolla, CA 92093 sajama@ucsd.edu and alon@ece.ucsd.edu Abstract We present a semi-parametric latent variable model based technique for density modelling,... | 2004 | 53 |
2,663 | Self-Tuning Spectral Clustering Lihi Zelnik-Manor Department of Electrical Engineering California Institute of Technology Pasadena, CA 91125, USA lihi@vision.caltech.edu Pietro Perona Department of Electrical Engineering California Institute of Technology Pasadena, CA 91125, USA perona@vision.caltec... | 2004 | 54 |
2,664 | The Entire Regularization Path for the Support Vector Machine Trevor Hastie Department of Statistics Stanford University Stanford, CA 94305, USA hastie@stanford.edu Saharon Rosset IBM Watson Research Center P.O. Box 218 Yorktown Heights, N.Y. 10598 srosset@us.ibm.com Robert Tibshirani Departme... | 2004 | 55 |
2,665 | The Laplacian PDF Distance: A Cost Function for Clustering in a Kernel Feature Space Robert Jenssen1∗, Deniz Erdogmus2, Jose Principe2, Torbjørn Eltoft1 1Department of Physics, University of Tromsø, Norway 2Computational NeuroEngineering Laboratory, University of Florida, USA Abstract A new distance measu... | 2004 | 56 |
2,666 | Experts in a Markov Decision Process Eyal Even-Dar Computer Science Tel-Aviv University evend@post.tau.ac.il Sham M. Kakade Computer and Information Science University of Pennsylvania skakade@linc.cis.upenn.edu Yishay Mansour ∗ Computer Science Tel-Aviv University mansour@post.tau.ac.il Abstra... | 2004 | 57 |
2,667 | Neighbourhood Components Analysis Jacob Goldberger, Sam Roweis, Geoff Hinton, Ruslan Salakhutdinov Department of Computer Science, University of Toronto {jacob,roweis,hinton,rsalakhu}@cs.toronto.edu Abstract In this paper we propose a novel method for learning a Mahalanobis distance measure to be used in th... | 2004 | 58 |
2,668 | Learning Gaussian Process Kernels via Hierarchical Bayes Anton Schwaighofer Fraunhofer FIRST Intelligent Data Analysis (IDA) Kekul´estrasse 7, 12489 Berlin anton@first.fhg.de Volker Tresp, Kai Yu Siemens Corporate Technology Information and Communications 81730 Munich, Germany {volker.tresp,kai.yu... | 2004 | 59 |
2,669 | Binet-Cauchy Kernels S.V.N. Vishwanathan, Alexander J. Smola National ICT Australia, Machine Learning Program, Canberra, ACT 0200, Australia {SVN.Vishwanathan, Alex.Smola}@nicta.com.au Abstract We propose a family of kernels based on the Binet-Cauchy theorem and its extension to Fredholm operators. This inclu... | 2004 | 6 |
2,670 | Nonlinear Blind Source Separation by Integrating Independent Component Analysis and Slow Feature Analysis Tobias Blaschke Institute for Theoretical Biology Humboldt University Berlin Invalidenstraße 43, D-10115 Berlin, Germany t.blaschke@biologie.hu-berlin.de Laurenz Wiskott Institute for Theoretical ... | 2004 | 60 |
2,671 | Solitaire: Man Versus Machine Xiang Yan∗ Persi Diaconis∗ Paat Rusmevichientong† Benjamin Van Roy∗ ∗Stanford University {xyan,persi.diaconis,bvr}@stanford.edu †Cornell University paatrus@orie.cornell.edu Abstract In this paper, we use the rollout method for policy improvement to analyze a version of ... | 2004 | 61 |
2,672 | A Machine Learning Approach to Conjoint Analysis Olivier Chapelle, Za¨ıd Harchaoui Max Planck Institute for Biological Cybernetics Spemannstr. 38 - 72076 T¨ubingen - Germany {olivier.chapelle,zaid.harchaoui}@tuebingen.mpg.de Abstract Choice-based conjoint analysis builds models of consumer preferences o... | 2004 | 62 |
2,673 | Intrinsically Motivated Reinforcement Learning Satinder Singh Computer Science & Eng. University of Michigan baveja@umich.edu Andrew G. Barto Dept. of Computer Science University of Massachusetts barto@cs.umass.edu Nuttapong Chentanez Computer Science & Eng. University of Michigan nchentan@umich... | 2004 | 63 |
2,674 | Joint Probabilistic Curve Clustering and Alignment Scott Gaffney and Padhraic Smyth School of Information and Computer Science University of California, Irvine, CA 92697-3425 {sgaffney,smyth}@ics.uci.edu Abstract Clustering and prediction of sets of curves is an important problem in many areas of scienc... | 2004 | 64 |
2,675 | Triangle Fixing Algorithms for the Metric Nearness Problem Inderjit S. Dhillon Suvrit Sra Dept. of Computer Sciences The Univ. of Texas at Austin Austin, TX 78712. {inderjit,suvrit}@cs.utexas.edu Joel A. Tropp Dept. of Mathematics The Univ. of Michigan at Ann Arbor Ann Arbor, MI, 48109. jtropp@u... | 2004 | 65 |
2,676 | Economic Properties of Social Networks Sham M. Kakade Michael Kearns Luis E. Ortiz Robin Pemantle Siddharth Suri University of Pennsylvania Philadelphia, PA 19104 Abstract We examine the marriage of recent probabilistic generative models for social networks with classical frameworks from mathematica... | 2004 | 66 |
2,677 | Beat Tracking the Graphical Model Way Dustin Lang Nando de Freitas Department of Computer Science University of British Columbia Vancouver, BC {dalang, nando}@cs.ubc.ca Abstract We present a graphical model for beat tracking in recorded music. Using a probabilistic graphical model allows us to incorpo... | 2004 | 67 |
2,678 | Large-Scale Prediction of Disulphide Bond Connectivity Pierre Baldi Jianlin Cheng Schoolof Information and Computer Science University of California, Irvine Irvine, CA 92697-3425 {pfbaldi,jianlinc}@ics.uci.edu Alessandro Vullo Computer Science Department University College Dublin Dublin, Ireland ... | 2004 | 68 |
2,679 | An Application of Boosting to Graph Classification Taku Kudo, Eisaku Maeda NTT Communication Science Laboratories. 2-4 Hikaridai, Seika-cho, Soraku, Kyoto, Japan {taku,maeda}@cslab.kecl.ntt.co.jp Yuji Matsumoto Nara Institute of Science and Technology. 8916-5 Takayama-cho, Ikoma, Nara, Japan matsu@is... | 2004 | 69 |
2,680 | Synergistic Face Detection and Pose Estimation with Energy-Based Models Margarita Osadchy NEC Labs America Princeton NJ 08540 rita@osadchy.net Matthew L. Miller NEC Labs America Princeton NJ 08540 mlm@nec-labs.com Yann Le Cun The Courant Institute New York University yann@cs.nyu.edu Abstract... | 2004 | 7 |
2,681 | Multi-agent Cooperation in Diverse Population Games K. Y. Michael Wong, S. W. Lim and Z. Gao Hong Kong University of Science and Technology, Hong Kong, China. {phkywong, swlim, zhuogao}@ust.hk Abstract We consider multi-agent systems whose agents compete for resources by striving to be in the minority gro... | 2004 | 70 |
2,682 | Modeling Nonlinear Dependencies in Natural Images using Mixture of Laplacian Distribution Hyun Jin Park and Te Won Lee Institute for Neural Computation, UCSD 9500 Gilman Drive, La Jolla, CA 92093-0523 {hjinpark, tewon}@ucsd.edu Abstract Capturing dependencies in images in an unsupervised manner ... | 2004 | 71 |
2,683 | Dependent Gaussian Processes Phillip Boyle and Marcus Frean School of Mathematical and Computing Sciences Victoria University of Wellington, Wellington, New Zealand {pkboyle,marcus}@mcs.vuw.ac.nz Abstract Gaussian processes are usually parameterised in terms of their covariance functions. However, this ma... | 2004 | 72 |
2,684 | Synchronization of neural networks by mutual learning and its application to cryptography Einat Klein Department of Physics Bar-Ilan University Ramat-Gan, 52900 Israel Rachel Mislovaty Department of Physics Bar-Ilan University Ramat-Gan, 52900 Israel Ido Kanter Department of Physics Bar-Ilan Uni... | 2004 | 73 |
2,685 | Semigroup Kernels on Finite Sets Marco Cuturi Computational Biology Group Ecole des Mines de Paris 35 rue Saint Honor´e 77300 Fontainebleau marco.cuturi@ensmp.fr Jean-Philippe Vert Computational Biology Group Ecole des Mines de Paris 35 rue Saint Honor´e 77300 Fontainebleau jean-philippe.vert@en... | 2004 | 74 |
2,686 | A Hidden Markov Model for de Novo Peptide Sequencing Bernd Fischer, Volker Roth, Joachim M. Buhmann Institute of Computational Science ETH Zurich CH-8092 Zurich, Switzerland bernd.fischer@inf.ethz.ch Jonas Grossmann, Sacha Baginsky, Wilhelm Gruissem Institute of Plant Sciences ETH Zurich CH-8092 Z... | 2004 | 75 |
2,687 | Instance-Based Relevance Feedback for Image Retrieval Giorgio Giacinto and Fabio Roli Department of Electrical and Electronic Engineering University of Cagliari Piazza D’Armi, Cagliari – Italy 09121 {giacinto,roli}@diee.unica.it Abstract High retrieval precision ... | 2004 | 76 |
2,688 | Learning Preferences for Multiclass Problems Fabio Aiolli Dept. of Computer Science University of Pisa, Italy aiolli@di.unipi.it Alessandro Sperduti Dept. of Pure and Applied Mathematics University of Padova, Italy sperduti@math.unipd.it Abstract Many interesting multiclass problems can be cast in t... | 2004 | 77 |
2,689 | Mass meta-analysis in Talairach space Finn ˚ Arup Nielsen Neurobiology Research Unit, Rigshospitalet Copenhagen, Denmark and Informatics and Mathematical Modelling, Technical University of Denmark, Lyngby, Denmark fn@imm.dtu.dk Abstract We provide a method for mass meta-analysis in a neuroinformatic... | 2004 | 78 |
2,690 | Result Analysis of the NIPS 2003 Feature Selection Challenge Isabelle Guyon ClopiNet Berkeley, CA 94708, USA isabelle@clopinet.com Steve Gunn School of Electronics and Computer Science University of Southampton, U.K. s.r.gunn@ecs.soton.ac.uk Asa Ben Hur Department of Genome Sciences University o... | 2004 | 79 |
2,691 | The power of feature clustering: An application to object detection Shai Avidan Mitsibishi Electric Research Labs 201 Broadway Cambridge, MA 02139 avidan@merl.com Moshe Butman Adyoron Intelligent Systems LTD. 34 Habarzel St. Tel-Aviv, Israel mosheb@adyoron.com Abstract We give a fast rejection... | 2004 | 8 |
2,692 | Sub-Microwatt Analog VLSI Support Vector Machine for Pattern Classification and Sequence Estimation Shantanu Chakrabartty and Gert Cauwenberghs Department of Electrical and Computer Engineering Johns Hopkins University, Baltimore, MD 21218 {shantanu,gert}@jhu.edu Abstract An analog system-on-chip for ker... | 2004 | 80 |
2,693 | Maximum Margin Clustering Linli Xu∗† James Neufeld† Bryce Larson† Dale Schuurmans† ∗University of Waterloo †University of Alberta Abstract We propose a new method for clustering based on finding maximum margin hyperplanes through data. By reformulating the problem in terms of the implied equivalence re... | 2004 | 81 |
2,694 | On the Adaptive Properties of Decision Trees Clayton Scott Statistics Department Rice University Houston, TX 77005 cscott@rice.edu Robert Nowak Electrical and Computer Engineering University of Wisconsin Madison, WI 53706 nowak@engr.wisc.edu Abstract Decision trees are surprisingly adaptive in t... | 2004 | 82 |
2,695 | Kernel Methods for Implicit Surface Modeling Bernhard Sch¨olkopf†, Joachim Giesen+∗& Simon Spalinger+ † Max Planck Institute for Biological Cybernetics, 72076 T¨ubingen, Germany bernhard.schoelkopf@tuebingen.mpg.de + Department of Computer Science, ETH Z¨urich, Switzerland giesen@inf.ethz.ch,spsimon@inf.ethz.... | 2004 | 83 |
2,696 | Neural network computation by in vitro transcriptional circuits Jongmin Kim1, John J. Hopfield3, Erik Winfree2 Biology1, CNS and Computer Science2, California Institute of Technology. Molecular Biology3, Princeton University. {jongmin,winfree}@dna.caltech.edu, hopfield@princeton.edu Abstract The structural... | 2004 | 84 |
2,697 | Similarity and discrimination in classical conditioning: A latent variable account Aaron C. Courville*1,3, Nathaniel D. Daw4 and David S. Touretzky2,3 1Robotics Institute, 2Computer Science Department, 3Center for the Neural Basis of Cognition, Carnegie Mellon University, Pittsburgh, PA 15213 4Gatsby Comput... | 2004 | 85 |
2,698 | Boosting on manifolds: adaptive regularization of base classifiers Bal´azs K´egl and Ligen Wang Department of Computer Science and Operations Research, University of Montreal CP 6128 succ. Centre-Ville, Montr´eal, Canada H3C 3J7 {kegl|wanglige}@iro.umontreal.ca Abstract In this paper we propose to combine ... | 2004 | 86 |
2,699 | Surface Reconstruction using Learned Shape Models Jan Erik Solem School of Technology and Society Malm¨o University, Sweden jes@ts.mah.se Fredrik Kahl RSISE, Australian National University ACT 0200, Australia fredrik@maths.lth.se Abstract We consider the problem of geometrical surface reconstructi... | 2004 | 87 |
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