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Workshops Industrial Tracks Demo Session PASCAL Steering Committee 2009 - Bled


Classification 1
[syn] 81 views, 22:40 Considering Unseen States as Impossible in Factored Reinforcement LearningConsidering Unseen States as Impossible in Factored Reinforcement Learning Olga Kozlova Olga Kozlova	[syn] 211 views, 26:44 A Convex Method for Locating Regions of Interest with Multi-Instance LearningA Convex Method for Locating Regions of Interest with Multi-Instance ... Yu-Feng Li Yu-Feng Li	[syn] 180 views, 23:16 Efficient Decoding of Ternary Error-Correcting Output Codes for Multiclass ClassificationEfficient Decoding of Ternary Error-Correcting Output Codes for Multiclass Classification Sang-Hyeun Park Sang-Hyeun Park
Classification 2
145 views, 19:45 Simulated Iterative Classification: A new Learning Procedure for Graph LabelingSimulated Iterative Classification: A new Learning Procedure for Graph Labeling Stephane Peters Stephane Peters	[syn] 787 views, 21:19 Combining Instance-Based Learning and Logistic Regression for Multi-Label ClassificationCombining Instance-Based Learning and Logistic Regression for Multi-Label Classification Weiwei Cheng Weiwei Cheng	48 views, 19:16 Within-Network Classification Using Local Structure SimilarityWithin-Network Classification Using Local Structure Similarity Christian Desrosiers Christian Desrosiers
Classification 3
112 views, 26:39 Learning Preferences with Hidden Common Cause RelationsLearning Preferences with Hidden Common Cause Relations Kristian Kersting Kristian Kersting	[syn] 106 views, 23:54 An l1 Regularization Framework for Optimal Rule CombinationAn l1 Regularization Framework for Optimal Rule Combination Yanjun Han Yanjun Han	64 views, 13:31 Enhancing the Performance of Centroid Classifier by ECOC and Model-RefinementEnhancing the Performance of Centroid Classifier by ECOC and Model-Refinement Songbo Tan Songbo Tan
Text Mining 1
[syn] 546 views, 22:23 PLSI: The True Fisher Kernel and BeyondPLSI: The True Fisher Kernel and Beyond Emmanuel Eckard Emmanuel Eckard	[syn] 426 views, 27:05 Dependency Tree Kernels for Relation Extraction from Natural Language TextDependency Tree Kernels for Relation Extraction from Natural Language Text Frank Reichartz Frank Reichartz	[syn] 1015 views, 24:28 The Sensitivity of Latent Dirichlet Allocation for Information RetrievalThe Sensitivity of Latent Dirichlet Allocation for Information Retrieval Laurence A. F. Park Laurence A. F. Park	[syn] 418 views, 26:13 Protein Identification from Tandem Mass Spectra with Probabilistic Language ModelingProtein Identification from Tandem Mass Spectra with Probabilistic Language Modeling Yiming Yang Yiming Yang
Text Mining 2
[syn] 439 views, 25:36 One Graph is Worth a Thousand Logs: Uncovering Hidden Structures in Massive System Event LogsOne Graph is Worth a Thousand Logs: Uncovering Hidden Structures ... Gilad Barash Gilad Barash	[syn] 97 views, 20:58 Leveraging Higher Order Dependencies Between Features for Text ClassificationLeveraging Higher Order Dependencies Between Features for Text Classification William M. Pottenger William M. Pottenger	[syn] 91 views, 22:22 Mining Peculiar Compositions of Frequent Substrings from Sparse Text Data Using Background TextsMining Peculiar Compositions of Frequent Substrings from Sparse Text Data ... Daisuke Ikeda Daisuke Ikeda	[syn] 201 views, 21:28 Learning to Disambiguate Search Queries from Short SessionsLearning to Disambiguate Search Queries from Short Sessions Lilyana Mihalkova Lilyana Mihalkova
Text Mining 3
[syn] 597 views, 37:04 Topic Significance Ranking of LDA Generative ModelsTopic Significance Ranking of LDA Generative Models Loulwah AlSumait Loulwah AlSumait	72 views, 22:22 Identifying the Original Contribution of a Document via Language ModelingIdentifying the Original Contribution of a Document via Language Modeling Benyah Shaparenko Benyah Shaparenko
Kernel Methods
[syn] 378 views, 15:59 A Flexible and Efficient Algorithm for Regularized Fisher Discriminant AnalysisA Flexible and Efficient Algorithm for Regularized Fisher Discriminant Analysis Zhihua Zhang Zhihua Zhang	[syn] 162 views, 25:09 Syntactic Structural Kernels for Natural Language Interfaces to DatabasesSyntactic Structural Kernels for Natural Language Interfaces to Databases Alessandro Moschitti Alessandro Moschitti	[syn] 192 views, 23:28 Kernels for Periodic Time Series Arising in AstronomyKernels for Periodic Time Series Arising in Astronomy Gabriel Wachman Gabriel Wachman	[syn] 607 views, 23:57 Kernel-Based Copula ProcessesKernel-Based Copula Processes Eddie K. H. Ng Eddie K. H. Ng
Clustering 1
[syn] 147 views, 17:45 Parameter-Free Hierarchical Co-Clustering by n-Ary SplitsParameter-Free Hierarchical Co-Clustering by n-Ary Splits Dino Ienco Dino Ienco	154 views, 22:39 A Matrix Factorization Approach for Integrating Multiple Data ViewsA Matrix Factorization Approach for Integrating Multiple Data Views Derek Greene Derek Greene
Clustering 2
[syn] 105 views, 36:16 MACs: Multi-Attribute Co-Clusters with High Correlation InformationMACs: Multi-Attribute Co-Clusters with High Correlation Information Kelvin Sim Kelvin Sim
Learning
[syn] 219 views, 22:23 Integrating Logical Reasoning and Probabilistic Chain GraphsIntegrating Logical Reasoning and Probabilistic Chain Graphs Arjen Hommersom Arjen Hommersom	[syn] 91 views, 25:53 Relevance Grounding for Planning in Relational DomainsRelevance Grounding for Planning in Relational Domains Tobias Lang Tobias Lang	[syn] 115 views, 21:34 On Structured Output Training: Hard Cases and an Efficient AlternativeOn Structured Output Training: Hard Cases and an Efficient Alternative Thomas Gartner Thomas Gartner	[syn] 1404 views, 22:51 Applying Electromagnetic Field Theory Concepts to Clustering with ConstraintsApplying Electromagnetic Field Theory Concepts to Clustering with Constraints Michalis Vazirgiannis Michalis Vazirgiannis	[syn] 185 views, 30:10 Max-Margin Weight Learning for Markov Logic NetworksMax-Margin Weight Learning for Markov Logic Networks Tuyen Ngoc Huynh Tuyen Ngoc Huynh
Data Streams & Graphs 1
83 views, 25:30 Adaptive XML Tree Classification on Evolving Data StreamsAdaptive XML Tree Classification on Evolving Data Streams Ricard Gavalda Ricard Gavalda	131 views, 22:50 Integrating Novel Class Detection with Classification for Concept-Drifting Data StreamsIntegrating Novel Class Detection with Classification for Concept-Drifting Data Streams Latifur Khan Latifur Khan	[syn] 105 views, 19:12 Harnessing the Strengths of Anytime Algorithms for Constant Data StreamsHarnessing the Strengths of Anytime Algorithms for Constant Data Streams Philipp Kranen Philipp Kranen	129 views, 23:07 Bi-Directional Joint Inference for Entity Resolution and Segmentation Using Imperatively-Defined Factor GraphsBi-Directional Joint Inference for Entity Resolution and Segmentation Using Imperatively-Defined ... Sameer Singh Sameer Singh	[syn] 122 views, 23:09 Variational Graph Embedding for Globally and Locally Consistent Feature ExtractionVariational Graph Embedding for Globally and Locally Consistent Feature Extraction Shuang-Hong Yang Shuang-Hong Yang
Graphs 2 & Inference 1
[syn] 542 views, 22:22 Dynamic Factor Graphs for Time Series ModelingDynamic Factor Graphs for Time Series Modeling Piotr Mirowski Piotr Mirowski	[syn] 803 views, 19:52 RTG: A Recursive Realistic Graph Generator using Random TypingRTG: A Recursive Realistic Graph Generator using Random Typing Leman Akoglu Leman Akoglu	189 views, 24:48 Mining Graph Evolution RulesMining Graph Evolution Rules Francesco Bonchi Francesco Bonchi	[syn] 103 views, 28:45 Binary Decomposition Methods for Multipartite RankingBinary Decomposition Methods for Multipartite Ranking Johannes Fuernkranz Johannes Fuernkranz	95 views, 16:32 Cost-sensitive learning based on Bregman divergencesCost-sensitive learning based on Bregman divergences Raúl Santos-Rodríguez Raúl Santos-Rodríguez
111 views, 19:19 A Self-Training Approach to Cost Sensitive Uncertainty SamplingA Self-Training Approach to Cost Sensitive Uncertainty Sampling Joydeep Ghosh Joydeep Ghosh
Inference 2
[syn] 148 views, 22:53 Statistical Relational Learning with Formal OntologiesStatistical Relational Learning with Formal Ontologies Achim Rettinger Achim Rettinger	[syn] 90 views, 14:31 Inference and Validation of NetworksInference and Validation of Networks Ilias Flaounas Ilias Flaounas	[syn] 414 views, 21:08 Neural Networks for State Evaluation in General Game PlayingNeural Networks for State Evaluation in General Game Playing Daniel Michulke Daniel Michulke	[syn] 198 views, 26:32 Learning Multi-Linear Representations of Probability Distributions for Efficient InferenceLearning Multi-Linear Representations of Probability Distributions for Efficient Inference Rajhans Samdani Rajhans Samdani
Semi-Supervised Learning 1
94 views, 21:54 Subspace Regularization: A New Semi-Supervised Learning MethodSubspace Regularization: A New Semi-Supervised Learning Method Yan-Ming Zhang Yan-Ming Zhang	115 views, 20:23 Active and Semi-Supervised Data Domain DescriptionActive and Semi-Supervised Data Domain Description Ulf Brefeld Ulf Brefeld	142 views, 19:18 Semi-Supervised Multi-Task RegressionSemi-Supervised Multi-Task Regression Yu Zhang Yu Zhang	77 views, 14:41 Transductive Classification via Dual RegularizationTransductive Classification via Dual Regularization Yu-Feng Li Yu-Feng Li
Semi-Supervised Learning 2
[syn] 313 views, 27:44 New Regularized Algorithms for Transducitve LearningNew Regularized Algorithms for Transducitve Learning Partha Pratim Talukdar Partha Pratim Talukdar	[syn] 638 views, 22:28 Graph-Based Discrete Differential Geometry for Critical Instance FilteringGraph-Based Discrete Differential Geometry for Critical Instance Filtering Elena Marchiori Elena Marchiori	[syn] 477 views, 21:23 Active Learning for Reward Estimation in Inverse Reinforcement LearningActive Learning for Reward Estimation in Inverse Reinforcement Learning Francisco S. Melo Francisco S. Melo	[syn] 465 views, 14:23 Heteroscedastic Probabilistic Linear Discriminant Analysis with Semi-Supervised ExtensionHeteroscedastic Probabilistic Linear Discriminant Analysis with Semi-Supervised Extension Yu Zhang Yu Zhang
Multi-Way Learning & SVM
[syn] 207 views, 17:53 Two-Way Analysis of High-Dimensional Collinear DataTwo-Way Analysis of High-Dimensional Collinear Data Ilkka Huopaniemi Ilkka Huopaniemi	132 views, 20:00 Feature Weighting Using Margin and Radius Based Error Bound Optimization in SVMsFeature Weighting Using Margin and Radius Based Error Bound Optimization ... Huyen Thi Thanh Do Huyen Thi Thanh Do	119 views, 22:10 Margin and Radius Based Multiple Kernel LearningMargin and Radius Based Multiple Kernel Learning Huyen Thi Thanh Do Huyen Thi Thanh Do	81 views, 27:23 Sparse Kernel SVMs via Cutting-Plane TrainingSparse Kernel SVMs via Cutting-Plane Training Chun-Nam Yu Chun-Nam Yu	60 views, 17:58 Kernel Polytope Faces PursuitKernel Polytope Faces Pursuit Tom Diethe Tom Diethe
57 views, 17:51 Decomposition Algorithms for Training Large-scale Semiparametric Support Vector MachinesDecomposition Algorithms for Training Large-scale Semiparametric Support Vector Machines Sangkyun Lee Sangkyun Lee
Transfer Learning & Subgoup Discovery
[syn] 52 views, 22:57 Universal Learning over Related Distributions and Adaptive Graph TransductionUniversal Learning over Related Distributions and Adaptive Graph Transduction Wei Fan Wei Fan	[syn] 187 views, 26:18 Reconstructing Data Perturbed by Random Projections when the Mixing Matrix is KnownReconstructing Data Perturbed by Random Projections when the Mixing Matrix ... Yingpeng Sang Yingpeng Sang 1 comment	[syn] 112 views, 23:30 On Subgroup Discovery in Numerical DomainsOn Subgroup Discovery in Numerical Domains Henrik Grosskreutz Henrik Grosskreutz	[syn] 118 views, 23:14 Evaluation Measures for Multi-Class Subgroup DiscoveryEvaluation Measures for Multi-Class Subgroup Discovery Tarek Abudawood Tarek Abudawood	[syn] 125 views, 19:55 Non-Redundant Subgroup Discovery Using a Closure SystemNon-Redundant Subgroup Discovery Using a Closure System Mario Boley Mario Boley
Pattern Mining 2
[syn] 57 views, 17:17 Debt Detection in Social Security by Sequence Classification Using Both Positive and Negative PatternsDebt Detection in Social Security by Sequence Classification Using Both ... Yanchang Zhao Yanchang Zhao	30 views, 20:08 A Condensed Representation of Itemsets for Analyzing their Evolution over TimeA Condensed Representation of Itemsets for Analyzing their Evolution over ... Mirko Boettcher Mirko Boettcher	75 views, 24:12 Taxonomy-Driven Lumping for Sequence MiningTaxonomy-Driven Lumping for Sequence Mining Aris Gionis Aris Gionis	[syn] 58 views, 22:30 Identifying the ComponentsIdentifying the Components Matthijs van Leeuwen Matthijs van Leeuwen
Feature Selection 1
[syn] 451 views, 23:28 On Feature Selection, Bias-Variance, and BaggingOn Feature Selection, Bias-Variance, and Bagging M. Arthur Munson M. Arthur Munson	[syn] 130 views, 21:51 Multi-Task Feature Selection Using the Multiple Inclusion Criterion (MIC)Multi-Task Feature Selection Using the Multiple Inclusion Criterion (MIC) Partha Pratim Talukdar Partha Pratim Talukdar	[syn] 458 views, 27:46 Stable and Accurate Feature SelectionStable and Accurate Feature Selection Zehra Cataltepe Zehra Cataltepe	[syn] 260 views, 19:53 Feature Selection by Transfer Learning with Linear Regularized ModelsFeature Selection by Transfer Learning with Linear Regularized Models Thibault Helleputte Thibault Helleputte
Feature Selection 2
[syn] 219 views, 25:20 Feature Selection for Value Function Approximation Using Bayesian Model SelectionFeature Selection for Value Function Approximation Using Bayesian Model Selection Tobias Jung Tobias Jung	[syn] 41 views, 25:06 Capacity Control for Partially Ordered Feature SetsCapacity Control for Partially Ordered Feature Sets Ulrich Rückert Ulrich Rückert	[syn] 109 views, 21:55 Feature Selection for Density Level-SetsFeature Selection for Density Level-Sets Ulf Brefeld Ulf Brefeld	[syn] 221 views, 20:01 The Feature Importance Ranking MeasureThe Feature Importance Ranking Measure Nicole Krämer Nicole Krämer
Reinforcement Learning 2
39 views, 28:27 Learning the Difference between Partially Observable Dynamical SystemsLearning the Difference between Partially Observable Dynamical Systems François Laviolette François Laviolette	76 views, 20:58 Optimal Online Learning Procedures for Model-Free Policy EvaluationOptimal Online Learning Procedures for Model-Free Policy Evaluation Tsuyoshi Ueno Tsuyoshi Ueno	[syn] 137 views, 22:53 Boosting Active Learning to Optimality: a Tracable Monte-Carlo, Billiard-Based AlgorithmBoosting Active Learning to Optimality: a Tracable Monte-Carlo, Billiard-Based Algorithm Philippe Rolet Philippe Rolet

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Topic taxonomy

Type of content

Language

Year

Sessions

Event sections

Classification 1

Classification 2

Classification 3

Text Mining 1

Text Mining 2

Text Mining 3

Kernel Methods

Clustering 1

Clustering 2

Learning

Data Streams & Graphs 1

Graphs 2 & Inference 1

Inference 2

Semi-Supervised Learning 1

Semi-Supervised Learning 2

Multi-Way Learning & SVM

Transfer Learning & Subgoup Discovery

Pattern Mining 2

Feature Selection 1

Feature Selection 2

Reinforcement Learning 2

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