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Title: The Essential Role of Pair Matching in Cluster-Randomized Experiments, with Application to the Mexican Universal Health Insurance Evaluation |
Abstract: A basic feature of many field experiments is that investigators are only able to randomize clusters of individuals--such as households, communities, firms, medical practices, schools or classrooms--even when the individual is the unit of interest. To recoup the resulting efficiency loss, some studies pair sim... |
Title: Comment: The Essential Role of Pair Matching |
Abstract: Comment on "The Essential Role of Pair Matching in Cluster-Randomized Experiments, with Application to the Mexican Universal Health Insurance Evaluation" [arXiv:0910.3752] |
Title: Comment: The Essential Role of Pair Matching in Cluster-Randomized Experiments, with Application to the Mexican Universal Health Insurance Evaluation |
Abstract: Comment on ``The Essential Role of Pair Matching in Cluster-Randomized Experiments, with Application to the Mexican Universal Health Insurance Evaluation'' [arXiv:0910.3752] |
Title: Rejoinder: Matched Pairs and the Future of Cluster-Randomized Experiments |
Abstract: Rejoinder to "The Essential Role of Pair Matching in Cluster-Randomized Experiments, with Application to the Mexican Universal Health Insurance Evaluation" [arXiv:0910.3752] |
Title: Dynamics of the Orthoglide parallel robot |
Abstract: Recursive matrix relations for kinematics and dynamics of the Orthoglide parallel robot having three concurrent prismatic actuators are established in this paper. These are arranged according to the Cartesian coordinate system with fixed orientation, which means that the actuating directions are normal to eac... |
Title: How to Complete an Interactive Configuration Process? |
Abstract: When configuring customizable software, it is useful to provide interactive tool-support that ensures that the configuration does not breach given constraints. But, when is a configuration complete and how can the tool help the user to complete it? We formalize this problem and relate it to concepts from non-... |
Title: Path placement optimization of manipulators based on energy consumption: application to the orthoglide 3-axis |
Abstract: This paper deals with the optimal path placement for a manipulator based on energy consumption. It proposes a methodology to determine the optimal location of a given test path within the workspace of a manipulator with minimal electric energy used by the actuators while taking into account the geometric, kin... |
Title: Singularity Analysis of Lower-Mobility Parallel Manipulators Using Grassmann-Cayley Algebra |
Abstract: This paper introduces a methodology to analyze geometrically the singularities of manipulators, of which legs apply both actuation forces and constraint moments to their moving platform. Lower-mobility parallel manipulators and parallel manipulators, of which some legs do not have any spherical joint, are suc... |
Title: Swarm Intelligence |
Abstract: Biologically inspired computing is an area of computer science which uses the advantageous properties of biological systems. It is the amalgamation of computational intelligence and collective intelligence. Biologically inspired mechanisms have already proved successful in achieving major advances in a wide r... |
Title: Sparsification and feature selection by compressive linear regression |
Abstract: The Minimum Description Length (MDL) principle states that the optimal model for a given data set is that which compresses it best. Due to practial limitations the model can be restricted to a class such as linear regression models, which we address in this study. As in other formulations such as the LASSO an... |
Title: The Geometry of Generalized Binary Search |
Abstract: This paper investigates the problem of determining a binary-valued function through a sequence of strategically selected queries. The focus is an algorithm called Generalized Binary Search (GBS). GBS is a well-known greedy algorithm for determining a binary-valued function through a sequence of strategically ... |
Title: Stochastic epidemic models: a survey |
Abstract: This paper is a survey paper on stochastic epidemic models. A simple stochastic epidemic model is defined and exact and asymptotic model properties (relying on a large community) are presented. The purpose of modelling is illustrated by studying effects of vaccination and also in terms of inference procedures... |
Title: Tutorial on ABC rejection and ABC SMC for parameter estimation and model selection |
Abstract: In this tutorial we schematically illustrate four algorithms: (1) ABC rejection for parameter estimation (2) ABC SMC for parameter estimation (3) ABC rejection for model selection on the joint space (4) ABC SMC for model selection on the joint space. |
Title: Effect of indirect dependencies on "A mutual information minimization approach for a class of nonlinear recurrent separating systems" |
Abstract: In a recent paper [4], Duarte and Jutten investigated the Blind Source Separation (BSS) problem, for the nonlinear mixing model that they introduced in that paper. They proposed to solve this problem by using information-theoretic tools, more precisely by minimizing the mutual information (MI) of the outputs ... |
Title: Outlier Elimination for Robust Ellipse and Ellipsoid Fitting |
Abstract: In this paper, an outlier elimination algorithm for ellipse/ellipsoid fitting is proposed. This two-stage algorithm employs a proximity-based outlier detection algorithm (using the graph Laplacian), followed by a model-based outlier detection algorithm similar to random sample consensus (RANSAC). These two st... |
Title: Self-concordant analysis for logistic regression |
Abstract: Most of the non-asymptotic theoretical work in regression is carried out for the square loss, where estimators can be obtained through closed-form expressions. In this paper, we use and extend tools from the convex optimization literature, namely self-concordant functions, to provide simple extensions of theo... |
Title: On approximation of smoothing probabilities for hidden Markov models |
Abstract: We consider the smoothing probabilities of hidden Markov model (HMM). We show that under fairly general conditions for HMM, the exponential forgetting still holds, and the smoothing probabilities can be well approximated with the ones of double sided HMM. This makes it possible to use ergodic theorems. As an ... |
Title: Competing with Gaussian linear experts |
Abstract: We study the problem of online regression. We prove a theoretical bound on the square loss of Ridge Regression. We do not make any assumptions about input vectors or outcomes. We also show that Bayesian Ridge Regression can be thought of as an online algorithm competing with all the Gaussian linear experts. |
Title: Bayesian Core: The Complete Solution Manual |
Abstract: This solution manual contains the unabridged and original solutions to all the exercises proposed in Bayesian Core, along with R programs when necessary. |
Title: Sum of Us: Strategyproof Selection from the Selectors |
Abstract: We consider directed graphs over a set of n agents, where an edge (i,j) is taken to mean that agent i supports or trusts agent j. Given such a graph and an integer k\leq n, we wish to select a subset of k agents that maximizes the sum of indegrees, i.e., a subset of k most popular or most trusted agents. At t... |
Title: Parallelization of the LBG Vector Quantization Algorithm for Shared Memory Systems |
Abstract: This paper proposes a parallel approach for the Vector Quantization (VQ) problem in image processing. VQ deals with codebook generation from the input training data set and replacement of any arbitrary data with the nearest codevector. Most of the efforts in VQ have been directed towards designing parallel se... |
Title: A $p$-adic RanSaC algorithm for stereo vision using Hensel lifting |
Abstract: A $p$-adic variation of the Ran(dom) Sa(mple) C(onsensus) method for solving the relative pose problem in stereo vision is developped. From two 2-adically encoded images a random sample of five pairs of corresponding points is taken, and the equations for the essential matrix are solved by lifting solutions m... |
Title: Artificial Immune Systems |
Abstract: The biological immune system is a robust, complex, adaptive system that defends the body from foreign pathogens. It is able to categorize all cells (or molecules) within the body as self-cells or non-self cells. It does this with the help of a distributed task force that has the intelligence to take action fr... |
Title: Articulation and Clarification of the Dendritic Cell Algorithm |
Abstract: The Dendritic Cell algorithm (DCA) is inspired by recent work in innate immunity. In this paper a formal description of the DCA is given. The DCA is described in detail, and its use as an anomaly detector is illustrated within the context of computer security. A port scan detection task is performed to substa... |
Title: An Iterative Shrinkage Approach to Total-Variation Image Restoration |
Abstract: The problem of restoration of digital images from their degraded measurements plays a central role in a multitude of practically important applications. A particularly challenging instance of this problem occurs in the case when the degradation phenomenon is modeled by an ill-conditioned operator. In such a c... |
Title: Two-sample Bayesian Nonparametric Hypothesis Testing |
Abstract: In this article we describe Bayesian nonparametric procedures for two-sample hypothesis testing. Namely, given two sets of samples $^\scriptscriptstyle(1)\;$\s im$\;F^\scriptscriptstyle(1)$ and $^\scriptscriptstyle(2 )\;$\sim$\;F^\scriptscriptstyle( 2)$, with $F^\scriptscriptstyle(1),F^\scriptscriptstyle(2)$ ... |
Title: Nonparametric methods for volatility density estimation |
Abstract: Stochastic volatility modelling of financial processes has become increasingly popular. The proposed models usually contain a stationary volatility process. We will motivate and review several nonparametric methods for estimation of the density of the volatility process. Both models based on discretely sample... |
Title: A Gradient Descent Algorithm on the Grassman Manifold for Matrix Completion |
Abstract: We consider the problem of reconstructing a low-rank matrix from a small subset of its entries. In this paper, we describe the implementation of an efficient algorithm called OptSpace, based on singular value decomposition followed by local manifold optimization, for solving the low-rank matrix completion pro... |
Title: Artificial Immune Tissue using Self-Orgamizing Networks |
Abstract: As introduced by Bentley et al. (2005), artificial immune systems (AIS) are lacking tissue, which is present in one form or another in all living multi-cellular organisms. Some have argued that this concept in the context of AIS brings little novelty to the already saturated field of the immune inspired compu... |
Title: The Uned systems at Senseval-2 |
Abstract: We have participated in the SENSEVAL-2 English tasks (all words and lexical sample) with an unsupervised system based on mutual information measured over a large corpus (277 million words) and some additional heuristics. A supervised extension of the system was also presented to the lexical sample task. Our s... |
Title: Word Sense Disambiguation Based on Mutual Information and Syntactic Patterns |
Abstract: This paper describes a hybrid system for WSD, presented to the English all-words and lexical-sample tasks, that relies on two different unsupervised approaches. The first one selects the senses according to mutual information proximity between a context word a variant of the sense. The second heuristic analyz... |
Title: Straight to the Source: Detecting Aggregate Objects in Astronomical Images with Proper Error Control |
Abstract: The next generation of telescopes will acquire terabytes of image data on a nightly basis. Collectively, these large images will contain billions of interesting objects, which astronomers call sources. The astronomers' task is to construct a catalog detailing the coordinates and other properties of the source... |
Title: The Cyborg Astrobiologist: Testing a Novelty-Detection Algorithm on Two Mobile Exploration Systems at Rivas Vaciamadrid in Spain and at the Mars Desert Research Station in Utah |
Abstract: (ABRIDGED) In previous work, two platforms have been developed for testing computer-vision algorithms for robotic planetary exploration (McGuire et al. 2004b,2005; Bartolo et al. 2007). The wearable-computer platform has been tested at geological and astrobiological field sites in Spain (Rivas Vaciamadrid and... |
Title: Anomaly Detection with Score functions based on Nearest Neighbor Graphs |
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