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Title: Accelerated Monte Carlo estimation of failure probabilities in output of monotone computer codes |
Abstract: The problem of estimating the probability p=P(g(X<0) is considered when X represents a multivariate stochastic input of a monotone function g. First, a heuristic method to bound p is formally described, involving a specialized design of numerical experiments. Then a statistical estimation of p is considered b... |
Title: A Bayesian Statistical Approach for Inference on Static Origin-Destination Matrices |
Abstract: We address the problem of static OD matrix estimation from a formal statistical viewpoint. We adopt a novel Bayesian framework to develop a class of models that explicitly cast trip configurations in the study region as random variables. As a consequence, classical solutions from growth factor, gravity, and m... |
Title: Two Proposals for Robust PCA using Semidefinite Programming |
Abstract: The performance of principal component analysis (PCA) suffers badly in the presence of outliers. This paper proposes two novel approaches for robust PCA based on semidefinite programming. The first method, maximum mean absolute deviation rounding (MDR), seeks directions of large spread in the data while dampi... |
Title: The Future of Indirect Evidence |
Abstract: Familiar statistical tests and estimates are obtained by the direct observation of cases of interest: a clinical trial of a new drug, for instance, will compare the drug's effects on a relevant set of patients and controls. Sometimes, though, indirect evidence may be temptingly available, perhaps the results ... |
Title: Image Deblurring and Super-resolution by Adaptive Sparse Domain Selection and Adaptive Regularization |
Abstract: As a powerful statistical image modeling technique, sparse representation has been successfully used in various image restoration applications. The success of sparse representation owes to the development of l1-norm optimization techniques, and the fact that natural images are intrinsically sparse in some dom... |
Title: Automatic Image Segmentation by Dynamic Region Merging |
Abstract: This paper addresses the automatic image segmentation problem in a region merging style. With an initially over-segmented image, in which the many regions (or super-pixels) with homogeneous color are detected, image segmentation is performed by iteratively merging the regions according to a statistical test. ... |
Title: URSA: A System for Uniform Reduction to SAT |
Abstract: There are a huge number of problems, from various areas, being solved by reducing them to SAT. However, for many applications, translation into SAT is performed by specialized, problem-specific tools. In this paper we describe a new system for uniform solving of a wide class of problems by reducing them to SA... |
Title: LASSO Methods for Gaussian Instrumental Variables Models |
Abstract: In this note, we propose to use sparse methods (e.g. LASSO, Post-LASSO, sqrt-LASSO, and Post-sqrt-LASSO) to form first-stage predictions and estimate optimal instruments in linear instrumental variables (IV) models with many instruments in the canonical Gaussian case. The methods apply even when the number of... |
Title: Optimal Distributed Online Prediction using Mini-Batches |
Abstract: Online prediction methods are typically presented as serial algorithms running on a single processor. However, in the age of web-scale prediction problems, it is increasingly common to encounter situations where a single processor cannot keep up with the high rate at which inputs arrive. In this work, we pres... |
Title: Robust Distributed Online Prediction |
Abstract: The standard model of online prediction deals with serial processing of inputs by a single processor. However, in large-scale online prediction problems, where inputs arrive at a high rate, an increasingly common necessity is to distribute the computation across several processors. A non-trivial challenge is ... |
Title: Comment: The Need for Syncretism in Applied Statistics |
Abstract: Comment on "The Need for Syncretism in Applied Statistics" [arXiv:1012.1161] |
Title: Cross-Domain Object Matching with Model Selection |
Abstract: The goal of cross-domain object matching (CDOM) is to find correspondence between two sets of objects in different domains in an unsupervised way. Photo album summarization is a typical application of CDOM, where photos are automatically aligned into a designed frame expressed in the Cartesian coordinate syst... |
Title: Bayesian Statistics Then and Now |
Abstract: Discussion of "The Future of Indirect Evidence" by Bradley Efron [arXiv:1012.1161] |
Title: Comment: How Should Indirect Evidence Be Used? |
Abstract: Indirect evidence is crucial for successful statistical practice. Sometimes, however, it is better used informally. Future efforts should be directed toward understanding better the connection between statistical methods and scientific problems. [arXiv:1012.1161] |
Title: Rejoinder: The Future of Indirect Evidence |
Abstract: Rejoinder to "The Future of Indirect Evidence" [arXiv:1012.1161] |
Title: Shaping Level Sets with Submodular Functions |
Abstract: We consider a class of sparsity-inducing regularization terms based on submodular functions. While previous work has focused on non-decreasing functions, we explore symmetric submodular functions and their \lova extensions. We show that the Lovasz extension may be seen as the convex envelope of a function tha... |
Title: Bridging the Gap between Reinforcement Learning and Knowledge Representation: A Logical Off- and On-Policy Framework |
Abstract: Knowledge Representation is important issue in reinforcement learning. In this paper, we bridge the gap between reinforcement learning and knowledge representation, by providing a rich knowledge representation framework, based on normal logic programs with answer set semantics, that is capable of solving mode... |
Title: Compound decision in the presence of proxies with an application to spatio-temporal data |
Abstract: We study the problem of incorporating covariates in a compound decision setup. It is desired to estimate the means of $n$ response variables, which are independent and normally distributed, and each is accompanied by a vector of covariates. We suggest a method that involves non-parametric empirical Bayes tech... |
Title: Argudas: arguing with gene expression information |
Abstract: In situ hybridisation gene expression information helps biologists identify where a gene is expressed. However, the databases that republish the experimental information are often both incomplete and inconsistent. This paper examines a system, Argudas, designed to help tackle these issues. Argudas is an evolu... |
Title: Are SNOMED CT Browsers Ready for Institutions? Introducing MySNOM |
Abstract: SNOMED Clinical Terms (SNOMED CT) is one of the most widespread ontologies in the life sciences, with more than 300,000 concepts and relationships, but is distributed with no associated software tools. In this paper we present MySNOM, a web-based SNOMED CT browser. MySNOM allows organizations to browse their ... |
Title: A study on the relation between linguistics-oriented and domain-specific semantics |
Abstract: In this paper we dealt with the comparison and linking between lexical resources with domain knowledge provided by ontologies. It is one of the issues for the combination of the Semantic Web Ontologies and Text Mining. We investigated the relations between the linguistics oriented and domain-specific semantic... |
Title: Process Makna - A Semantic Wiki for Scientific Workflows |
Abstract: Virtual e-Science infrastructures supporting Web-based scientific workflows are an example for knowledge-intensive collaborative and weakly-structured processes where the interaction with the human scientists during process execution plays a central role. In this paper we propose the lightweight dynamic user-... |
Title: Use of semantic technologies for the development of a dynamic trajectories generator in a Semantic Chemistry eLearning platform |
Abstract: ChemgaPedia is a multimedia, webbased eLearning service platform that currently contains about 18.000 pages organized in 1.700 chapters covering the complete bachelor studies in chemistry and related topics of chemistry, pharmacy, and life sciences. The eLearning encyclopedia contains some 25.000 media object... |
Title: Analysis Of Cancer Omics Data In A Semantic Web Framework |
Abstract: Our work concerns the elucidation of the cancer (epi)genome, transcriptome and proteome to better understand the complex interplay between a cancer cell's molecular state and its response to anti-cancer therapy. To study the problem, we have previously focused on data warehousing technologies and statistical ... |
Title: Using Semantic Wikis for Structured Argument in Medical Domain |
Abstract: This research applies ideas from argumentation theory in the context of semantic wikis, aiming to provide support for structured-large scale argumentation between human agents. The implemented prototype is exemplified by modelling the MMR vaccine controversy. |
Title: Creating a new Ontology: a Modular Approach |
Abstract: Creating a new Ontology: a Modular Approach |
Title: First steps in the logic-based assessment of post-composed phenotypic descriptions |
Abstract: In this paper we present a preliminary logic-based evaluation of the integration of post-composed phenotypic descriptions with domain ontologies. The evaluation has been performed using a description logic reasoner together with scalable techniques: ontology modularization and approximations of the logical di... |
Title: Analysis and visualisation of RDF resources in Ondex |
Abstract: Ondex is a data integration and visualization platform developed to support Systems Biology Research. At its core is a data model based on two main principles: first, all information can be represented as a graph and, second, all elements of the graph can be annotated with ontologies. This data model is confo... |
Title: A semantic approach for the requirement-driven discovery of web services in the Life Sciences |
Abstract: Research in the Life Sciences depends on the integration of large, distributed and heterogeneous data sources and web services. The discovery of which of these resources are the most appropriate to solve a given task is a complex research question, since there is a large amount of plausible candidates and the... |
Title: Scientific Collaborations: principles of WikiBridge Design |
Abstract: Semantic wikis, wikis enhanced with Semantic Web technologies, are appropriate systems for community-authored knowledge models. They are particularly suitable for scientific collaboration. This paper details the design principles ofWikiBridge, a semantic wiki. |
Title: Populous: A tool for populating ontology templates |
Abstract: We present Populous, a tool for gathering content with which to populate an ontology. Domain experts need to add content, that is often repetitive in its form, but without having to tackle the underlying ontological representation. Populous presents users with a table based form in which columns are constrain... |
Title: Querying Biomedical Ontologies in Natural Language using Answer Set |
Abstract: In this work, we develop an intelligent user interface that allows users to enter biomedical queries in a natural language, and that presents the answers (possibly with explanations if requested) in a natural language. We develop a rule layer over biomedical ontologies and databases, and use automated reasone... |
Title: Low-Rank Structure Learning via Log-Sum Heuristic Recovery |
Abstract: Recovering intrinsic data structure from corrupted observations plays an important role in various tasks in the communities of machine learning and signal processing. In this paper, we propose a novel model, named log-sum heuristic recovery (LHR), to learn the essential low-rank structure from corrupted data.... |
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