ML Anthology

ECML-PKDD 2009

122 papers

A Community-Based Platform for Machine Learning Experimentation Joaquin Vanschoren, Hendrik Blockeel
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A Condensed Representation of Itemsets for Analyzing Their Evolution over Time Mirko Böttcher, Martin Spott, Rudolf Kruse
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A Convex Method for Locating Regions of Interest with Multi-Instance Learning Yufeng Li, James T. Kwok, Ivor W. Tsang, Zhi-Hua Zhou
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A Fast Ensemble Pruning Algorithm Based on Pattern Mining Process Qiang-Li Zhao, Yan-Huang Jiang, Ming Xu
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A Flexible and Efficient Algorithm for Regularized Fisher Discriminant Analysis Zhihua Zhang, Guang Dai, Michael I. Jordan
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A Generalization of Forward-Backward Algorithm Ai Azuma, Yuji Matsumoto
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A Generic Approach to Topic Models Gregor Heinrich
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A Matrix Factorization Approach for Integrating Multiple Data Views Derek Greene, Padraig Cunningham
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A Self-Training Approach to Cost Sensitive Uncertainty Sampling Alexander Liu, Goo Jun, Joydeep Ghosh
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Active and Semi-Supervised Data Domain Description Nico Görnitz, Marius Kloft, Ulf Brefeld
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Active Learning for Reward Estimation in Inverse Reinforcement Learning Manuel Lopes, Francisco S. Melo, Luis Montesano
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Adaptive XML Tree Classification on Evolving Data Streams Albert Bifet, Ricard Gavaldà
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An L1 Regularization Framework for Optimal Rule Combination Yanjun Han, Jue Wang
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Applying Electromagnetic Field Theory Concepts to Clustering with Constraints Huseyin Hakkoymaz, Georgios Chatzimilioudis, Dimitrios Gunopulos, Heikki Mannila
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Are We There yet? Nello Cristianini
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Bi-Directional Joint Inference for Entity Resolution and Segmentation Using Imperatively-Defined Factor Graphs Sameer Singh, Karl Schultz, Andrew McCallum
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Binary Decomposition Methods for Multipartite Ranking Johannes Fürnkranz, Eyke Hüllermeier, Stijn Vanderlooy
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Boosting Active Learning to Optimality: A Tractable Monte-Carlo, Billiard-Based Algorithm Philippe Rolet, Michèle Sebag, Olivier Teytaud
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Capacity Control for Partially Ordered Feature Sets Ulrich Rückert
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Causality Discovery with Additive Disturbances: An Information-Theoretical Perspective Kun Zhang, Aapo Hyvärinen
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Classifier Chains for Multi-Label Classification Jesse Read, Bernhard Pfahringer, Geoffrey Holmes, Eibe Frank
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ClusTR: Exploring Multivariate Cluster Correlations and Topic Trends Luigi Di Caro, Alejandro Jaimes
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Combining Instance-Based Learning and Logistic Regression for Multilabel Classification Weiwei Cheng, Eyke Hüllermeier
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Communication-Efficient Classification in P2P Networks Hock Hee Ang, Vivekanand Gopalkrishnan, Wee Keong Ng, Steven C. H. Hoi
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Compositional Models for Reinforcement Learning Nicholas K. Jong, Peter Stone
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Conference Mining via Generalized Topic Modeling Ali Daud, Juanzi Li, Lizhu Zhou, Faqir Muhammad
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Considering Unseen States as Impossible in Factored Reinforcement Learning Olga Kozlova, Olivier Sigaud, Pierre-Henri Wuillemin, Christophe Meyer
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Cost-Sensitive Learning Based on Bregman Divergences Raúl Santos-Rodríguez, Alicia Guerrero-Curieses, Rocío Alaíz-Rodríguez, Jesús Cid-Sueiro
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Debt Detection in Social Security by Sequence Classification Using Both Positive and Negative Patterns Yanchang Zhao, Huaifeng Zhang, Shanshan Wu, Jian Pei, Longbing Cao, Chengqi Zhang, Hans Bohlscheid
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Decomposition Algorithms for Training Large-Scale Semiparametric Support Vector Machines Sangkyun Lee, Stephen J. Wright
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Dependency Tree Kernels for Relation Extraction from Natural Language Text Frank Reichartz, Hannes Korte, Gerhard Paass
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Discovering Patterns in Flows: A Privacy Preserving Approach with the ACSM Prototype Stéphanie Jacquemont, François Jacquenet, Marc Sebban
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Dynamic Factor Graphs for Time Series Modeling Piotr Mirowski, Yann LeCun
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Efficient Decoding of Ternary Error-Correcting Output Codes for Multiclass Classification Sang-Hyeun Park, Johannes Fürnkranz
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Efficient Multi-Start Strategies for Local Search Algorithms Levente Kocsis, András György
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Efficient Pruning Schemes for Distance-Based Outlier Detection Hoang Vu Nguyen, Vivekanand Gopalkrishnan
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Efficient Sample Reuse in EM-Based Policy Search Hirotaka Hachiya, Jan Peters, Masashi Sugiyama
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Empirical Study of Relational Learning Algorithms in the Phase Transition Framework Érick Alphonse, Aomar Osmani
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Enhanced Web Page Content Visualization with Firefox Lorand Dali, Delia Rusu, Dunja Mladenic
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Enhancing the Performance of Centroid Classifier by ECOC and Model Refinement Songbo Tan, Gaowei Wu, Xueqi Cheng
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Evaluation Measures for Multi-Class Subgroup Discovery Tarek Abudawood, Peter A. Flach
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Feature Selection by Transfer Learning with Linear Regularized Models Thibault Helleputte, Pierre Dupont
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Feature Selection for Density Level-Sets Marius Kloft, Shinichi Nakajima, Ulf Brefeld
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Feature Selection for Value Function Approximation Using Bayesian Model Selection Tobias Jung, Peter Stone
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Feature Weighting Using Margin and Radius Based Error Bound Optimization in SVMs Huyen Do, Alexandros Kalousis, Melanie Hilario
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Found in Translation Marco Turchi, Ilias N. Flaounas, Omar Ali, Tijl De Bie, Tristan Snowsill, Nello Cristianini
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Graph-Based Discrete Differential Geometry for Critical Instance Filtering Elena Marchiori
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Harnessing the Strengths of Anytime Algorithms for Constant Data Streams Philipp Kranen, Thomas Seidl
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Heteroscedastic Probabilistic Linear Discriminant Analysis with Semi-Supervised Extension Yu Zhang, Dit-Yan Yeung
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Highly Multilingual News Analysis Applications Ralf Steinberger
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Hybrid Least-Squares Algorithms for Approximate Policy Evaluation Jeffrey Johns, Marek Petrik, Sridhar Mahadevan
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Identifying the Components Matthijs van Leeuwen, Jilles Vreeken, Arno Siebes
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Identifying the Original Contribution of a Document via Language Modeling Benyah Shaparenko, Thorsten Joachims
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Inference and Validation of Networks Ilias N. Flaounas, Marco Turchi, Tijl De Bie, Nello Cristianini
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Integrating Logical Reasoning and Probabilistic Chain Graphs Arjen Hommersom, Nivea de Carvalho Ferreira, Peter J. F. Lucas
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Integrating Novel Class Detection with Classification for Concept-Drifting Data Streams Mohammad M. Masud, Jing Gao, Latifur Khan, Jiawei Han, Bhavani Thuraisingham
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K-Subspace Clustering Dingding Wang, Chris H. Q. Ding, Tao Li
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Kernel Polytope Faces Pursuit Tom Diethe, Zakria Hussain
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Kernel-Based Copula Processes Sebastian Jaimungal, Eddie K. H. Ng
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Kernels for Periodic Time Series Arising in Astronomy Gabriel Wachman, Roni Khardon, Pavlos Protopapas, Charles R. Alcock
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Latent Dirichlet Allocation for Automatic Document Categorization István Bíró, Jácint Szabó
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Latent Dirichlet Bayesian Co-Clustering Pu Wang, Carlotta Domeniconi, Kathryn B. Laskey
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Learning Multi-Linear Representations of Distributions for Efficient Inference Dan Roth, Rajhans Samdani
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Learning Preferences with Hidden Common Cause Relations Kristian Kersting, Zhao Xu
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Learning the Difference Between Partially Observable Dynamical Systems Sami Zhioua, Doina Precup, François Laviolette, Josée Desharnais
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Learning to Disambiguate Search Queries from Short Sessions Lilyana Mihalkova, Raymond J. Mooney
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Leveraging Higher Order Dependencies Between Features for Text Classification Murat Can Ganiz, Nikita I. Lytkin, William M. Pottenger
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MACs: Multi-Attribute Co-Clusters with High Correlation Information Kelvin Sim, Vivekanand Gopalkrishnan, Hon Nian Chua, See-Kiong Ng
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Margin and Radius Based Multiple Kernel Learning Huyen Do, Alexandros Kalousis, Adam Woznica, Melanie Hilario
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Max-Margin Weight Learning for Markov Logic Networks Tuyen N. Huynh, Raymond J. Mooney
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Minimum Free Energy Principle for Constraint-Based Learning Bayesian Networks Takashi Isozaki, Maomi Ueno
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Mining Databases to Mine Queries Faster Arno Siebes, Diyah Puspitaningrum
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Mining Graph Evolution Rules Michele Berlingerio, Francesco Bonchi, Björn Bringmann, Aristides Gionis
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Mining Peculiar Compositions of Frequent Substrings from Sparse Text Data Using Background Texts Daisuke Ikeda, Einoshin Suzuki
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Mining Spatial Co-Location Patterns with Dynamic Neighborhood Constraint Feng Qian, Qinming He, Jiangfeng He
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Multi-Task Feature Selection Using the Multiple Inclusion Criterion (MIC) Paramveer S. Dhillon, Brian Tomasik, Dean P. Foster, Lyle H. Ungar
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Neural Networks for State Evaluation in General Game Playing Daniel Michulke, Michael Thielscher
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New Regularized Algorithms for Transductive Learning Partha Pratim Talukdar, Koby Crammer
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Non-Redundant Subgroup Discovery Using a Closure System Mario Boley, Henrik Grosskreutz
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Omiotis: A Thesaurus-Based Measure of Text Relatedness George Tsatsaronis, Iraklis Varlamis, Michalis Vazirgiannis, Kjetil Nørvåg
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On Discriminative Parameter Learning of Bayesian Network Classifiers Franz Pernkopf, Michael Wohlmayr
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On Feature Selection, Bias-Variance, and Bagging M. Arthur Munson, Rich Caruana
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On Structured Output Training: Hard Cases and an Efficient Alternative Thomas Gärtner, Shankar Vembu
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On Subgroup Discovery in Numerical Domains Henrik Grosskreutz, Stefan Rüping
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One Graph Is Worth a Thousand Logs: Uncovering Hidden Structures in Massive System Event Logs Michal Aharon, Gilad Barash, Ira Cohen, Eli Mordechai
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Optimal Online Learning Procedures for Model-Free Policy Evaluation Tsuyoshi Ueno, Shin-ichi Maeda, Motoaki Kawanabe, Shin Ishii
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OTTHO: On the Tip of My THOught Pierpaolo Basile, Marco Degemmis, Pasquale Lops, Giovanni Semeraro
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Parallel Subspace Sampling for Particle Filtering in Dynamic Bayesian Networks Eva Besada-Portas, Sergey M. Plis, Jesús Manuel de la Cruz, Terran Lane
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Parameter-Free Hierarchical Co-Clustering by N-Ary Splits Dino Ienco, Ruggero G. Pensa, Rosa Meo
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PLSI: The True Fisher Kernel and Beyond Jean-Cédric Chappelier, Emmanuel Eckard
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Privacy in Web Search Query Log Mining Rosie Jones
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Protecting Sensitive Topics in Text Documents with PROTEXTOR Chad M. Cumby
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Protein Identification from Tandem Mass Spectra with Probabilistic Language Modeling Yiming Yang, Abhay Harpale, Subramaniam Ganapathy
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Reconstructing Data Perturbed by Random Projections When the Mixing Matrix Is Known Yingpeng Sang, Hong Shen, Hui Tian
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Relaxed Transfer of Different Classes via Spectral Partition Xiaoxiao Shi, Wei Fan, Qiang Yang, Jiangtao Ren
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Relevance Grounding for Planning in Relational Domains Tobias Lang, Marc Toussaint
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RTG: A Recursive Realistic Graph Generator Using Random Typing Leman Akoglu, Christos Faloutsos
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Semi-Automatic Categorization of Videos on VideoLectures.net Miha Grcar, Dunja Mladenic, Peter Kese
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Semi-Supervised Document Clustering with Simultaneous Text Representation and Categorization Yanhua Chen, Lijun Wang, Ming Dong
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Semi-Supervised Multi-Task Regression Yu Zhang, Dit-Yan Yeung
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Simulated Iterative Classification a New Learning Procedure for Graph Labeling Francis Maes, Stéphane Peters, Ludovic Denoyer, Patrick Gallinari
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Soft Margin Trees Jorge Díez, Juan José del Coz, Antonio Bahamonde, Oscar Luaces
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Sparse Kernel SVMs via Cutting-Plane Training Thorsten Joachims, Chun-Nam John Yu
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Stable and Accurate Feature Selection Gokhan Gulgezen, Zehra Cataltepe, Lei Yu
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Statistical Relational Learning with Formal Ontologies Achim Rettinger, Matthias Nickles, Volker Tresp
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Subspace Regularization: A New Semi-Supervised Learning Method Yan-Ming Zhang, Xinwen Hou, Shiming Xiang, Cheng-Lin Liu
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Syntactic Structural Kernels for Natural Language Interfaces to Databases Alessandra Giordani, Alessandro Moschitti
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Taxonomy-Driven Lumping for Sequence Mining Francesco Bonchi, Carlos Castillo, Debora Donato, Aristides Gionis
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TeleComVis: Exploring Temporal Communities in Telecom Networks Qi Ye, Bin Wu, Lijun Suo, Tian Zhu, Chao Han, Bai Wang
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The Feature Importance Ranking Measure Alexander Zien, Nicole Krämer, Sören Sonnenburg, Gunnar Rätsch
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The Growing Semantic Web Mark Greaves
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The Model of Most Informative Patterns and Its Application to Knowledge Extraction from Graph Databases Frédéric Pennerath, Amedeo Napoli
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The Sensitivity of Latent Dirichlet Allocation for Information Retrieval Laurence Anthony F. Park, Kotagiri Ramamohanarao
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Theory-Practice Interplay in Machine Learning - Emerging Theoretical Challenges Shai Ben-David
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Topic Significance Ranking of LDA Generative Models Loulwa S. Al-Sumait, Daniel Barbará, James Gentle, Carlotta Domeniconi
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Transductive Classification via Dual Regularization Quanquan Gu, Jie Zhou
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Two-Way Analysis of High-Dimensional Collinear Data Ilkka Huopaniemi, Tommi Suvitaival, Janne Nikkilä, Matej Oresic, Samuel Kaski
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Universal Learning over Related Distributions and Adaptive Graph Transduction Erheng Zhong, Wei Fan, Jing Peng, Olivier Verscheure, Jiangtao Ren
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Using Temporal Language Models for Document Dating Nattiya Kanhabua, Kjetil Nørvåg
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Variational Graph Embedding for Globally and Locally Consistent Feature Extraction Shuang-Hong Yang, Hongyuan Zha, Shaohua Kevin Zhou, Bao-Gang Hu
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Visual OntoBridge: Semi-Automatic Semantic Annotation Software Miha Grcar, Dunja Mladenic
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Within-Network Classification Using Local Structure Similarity Christian Desrosiers, George Karypis
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