Computer Science - oalib

OALib Journal期刊
ISSN: 2333-9721
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Computer Science

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主页: http://arxiv.org/corr

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Making life better one large system at a time: Challenges for UAI research

Moises Goldszmidt

Template Based Inference in Symmetric Relational Markov Random Fields

Ariel Jaimovich,Ofer Meshi,Nir Friedman

Survey Propagation Revisited

Lukas Kroc,Ashish Sabharwal,Bart Selman

Learning Probabilistic Relational Dynamics for Multiple Tasks

Ashwin Deshpande,Brian Milch,Luke S. Zettlemoyer,Leslie Pack Kaelbling

Causal Reasoning in Graphical Time Series Models

Michael Eichler,Vanessa Didelez

Ant Robotics: Covering Continuous Domains by Multi-A(ge)nt Systems

Eliyahu Osherovich

Active Learning for Matching Problems

Laurent Charlin,Rich Zemel,Craig Boutilier

Modeling Latent Variable Uncertainty for Loss-based Learning

M. Pawan Kumar,Ben Packer,Daphne Koller

Adaptive Regularization for Weight Matrices

Koby Crammer,Gal Chechik

TrueLabel + Confusions: A Spectrum of Probabilistic Models in Analyzing Multiple Ratings

Chao Liu,Yi-Min Wang

Near-Optimal BRL using Optimistic Local Transitions

Mauricio Araya,Olivier Buffet,Vincent Thomas

Latent Collaborative Retrieval

Jason Weston,Chong Wang,Ron Weiss,Adam Berenzweig

Learning the Experts for Online Sequence Prediction

Elad Eban,Aharon Birnbaum,Shai Shalev-Shwartz,Amir Globerson

Information Retrieval in Intelligent Systems: Current Scenario & Issues

Sudhir Ahuja,Mr. Rinkaj Goyal

How important are Deformable Parts in the Deformable Parts Model?

Santosh K. Divvala,Alexei A. Efros,Martial Hebert

Identifying Independence in Relational Models

Marc Maier,David Jensen

Learning Arithmetic Circuits

Daniel Lowd,Pedro Domingos

The Evaluation of Causal Effects in Studies with an Unobserved Exposure/Outcome Variable: Bounds and Identification

Manabu Kuroki,Zhihong Cai

Learning When to Take Advice: A Statistical Test for Achieving A Correlated Equilibrium

Greg Hines,Kate Larson

Mixture-of-Parents Maximum Entropy Markov Models

David S. Rosenberg,Dan Klein,Ben Taskar

Dependence Maximizing Temporal Alignment via Squared-Loss Mutual Information

Makoto Yamada,Leonid Sigal,Michalis Raptis,Masashi Sugiyama

An Improved Gauss-Newtons Method based Back-propagation Algorithm for Fast Convergence

Sudarshan Nandy,Partha Pratim Sarkar,Achintya Das

Gray Image extraction using Fuzzy Logic

Koushik Mondal,Paramartha Dutta,Siddhartha Bhattacharyya

Unachievable Region in Precision-Recall Space and Its Effect on Empirical Evaluation

Kendrick Boyd,Vitor Santos Costa,Jesse Davis,David Page

Propagation using Chain Event Graphs

Peter Thwaites,Jim Q. Smith,Robert G. Cowell

Tightening LP Relaxations for MAP using Message Passing

David Sontag,Talya Meltzer,Amir Globerson,Tommi S. Jaakkola,Yair Weiss

Refractor Importance Sampling

Haohai Yu,Robert A. van Engelen

Church: a language for generative models

Noah Goodman,Vikash Mansinghka,Daniel M. Roy,Keith Bonawitz,Joshua B. Tenenbaum

Toward Experiential Utility Elicitation for Interface Customization

Bowen Hui,Craig Boutilier

Fuzzy Knowledge Representation, Learning and Optimization with Bayesian Analysis in Fuzzy Semantic Networks

Mohamed Nazih Omri

A Nonparametric Conjugate Prior Distribution for the Maximizing Argument of a Noisy Function

Pedro A. Ortega,Jordi Grau-Moya,Tim Genewein,David Balduzzi,Daniel A. Braun

Software Aging Analysis of Web Server Using Neural Networks

G. Sumathi,R. Raju

Aggregating Content and Network Information to Curate Twitter User Lists

Derek Greene,Gavin Sheridan,Barry Smyth,Pádraig Cunningham

Gibbs Sampling in Factorized Continuous-Time Markov Processes

Tal El-Hay,Nir Friedman,Raz Kupferman

Dimension Independent Similarity Computation

Reza Bosagh Zadeh,Ashish Goel

Uncertain and Approximative Knowledge Representation to Reasoning on Classification with a Fuzzy Networks Based System

Mohamed Nazih Omri

Software Verification and Graph Similarity for Automated Evaluation of Students' Assignments

Milena Vujosevic-Janicic,Mladen Nikolic,Dusan Tosic,Viktor Kuncak

Extension of Three-Variable Counterfactual Casual Graphic Model: from Two-Value to Three-Value Random Variable

Jingwei Liu

Loopy Belief Propagation in Bayesian Networks : origin and possibilistic perspectives

Amen Ajroud,Mohamed Nazih Omri,Habib Youssef,Salem Benferhat

Rule Based Expert System for Cerebral Palsy Diagnosis

Rajdeep Borgohain,Sugata Sanyal

Feature Weighting for Improving Document Image Retrieval System Performance

Mohammadreza Keyvanpour,Reza Tavoli

How To Grade a Test Without Knowing the Answers --- A Bayesian Graphical Model for Adaptive Crowdsourcing and Aptitude Testing

Yoram Bachrach,Thore Graepel,Tom Minka,John Guiver

The observational roots of reference of the semantic web

Simon Scheider,Krzysztof Janowicz,Benjamin Adams

Demand-Driven Clustering in Relational Domains for Predicting Adverse Drug Events

Jesse Davis,Vitor Santos Costa,Peggy Peissig,Michael Caldwell,Elizabeth Berg,David Page

Incorporating Causal Prior Knowledge as Path-Constraints in Bayesian Networks and Maximal Ancestral Graphs

Giorgos Borboudakis,Ioannis Tsamardinos

Output Space Search for Structured Prediction

Janardhan Rao Doppa,Alan Fern,Prasad Tadepalli

Bounded Planning in Passive POMDPs

Roy Fox,Naftali Tishby

Apprenticeship Learning for Model Parameters of Partially Observable Environments

Takaki Makino,Johane Takeuchi

Compositional Planning Using Optimal Option Models

David Silver,Kamil Ciosek

Node Splitting: A Scheme for Generating Upper Bounds in Bayesian Networks

Arthur Choi,Mark Chavira,Adnan Darwiche

©2008-2020 OALib, Inc | Public user content licensed CC-BY 4.0 unless otherwise specified. OALib ISSN Online: 2333-9721 OALib ISSN Print: 2333-9705