ML Anthology

ECML-PKDD 2014

138 papers

A Fast Method of Statistical Assessment for Combinatorial Hypotheses Based on Frequent Itemset Enumeration Shin-ichi Minato, Takeaki Uno, Koji Tsuda, Aika Terada, Jun Sese
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A Generative Bayesian Model for Item and User Recommendation in Social Rating Networks with Trust Relationships Gianni Costa, Giuseppe Manco, Riccardo Ortale
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A Lossless Data Reduction for Mining Constrained Patterns in N-Ary Relations Gabriel Poesia, Loïc Cerf
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A Two-Step Learning Approach for Solving Full and Almost Full Cold Start Problems in Dyadic Prediction Tapio Pahikkala, Michiel Stock, Antti Airola, Tero Aittokallio, Bernard De Baets, Willem Waegeman
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A Unified Framework for Probabilistic Component Analysis Mihalis A. Nicolaou, Stefanos Zafeiriou, Maja Pantic
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Accelerating Model Selection with Safe Screening for L 1-Regularized L 2-SVM Zheng Zhao, Jun Liu, James Cox
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Active Learning for Support Vector Machines with Maximum Model Change Wenbin Cai, Ya Zhang, Siyuan Zhou, Wenquan Wang, Chris H. Q. Ding, Xiao Gu
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Active Learning Is Planning: Nonmyopic Ε-Bayes-Optimal Active Learning of Gaussian Processes Trong Nghia Hoang, Kian Hsiang Low, Patrick Jaillet, Mohan S. Kankanhalli
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Agents Teaching Agents in Reinforcement Learning (Nectar Abstract) Matthew E. Taylor, Lisa Torrey
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An Online Policy Gradient Algorithm for Markov Decision Processes with Continuous States and Actions Yao Ma, Tingting Zhao, Kohei Hatano, Masashi Sugiyama
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Analyzing and Grounding Social Interaction in Online and Offline Networks Martin Atzmueller
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Anomaly Detection with Score Functions Based on the Reconstruction Error of the Kernel PCA Laetitia Chapel, Chloé Friguet
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Anti-Discrimination Analysis Using Privacy Attack Strategies Salvatore Ruggieri, Sara Hajian, Faisal Kamiran, Xiangliang Zhang
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Approximate Consistency: Towards Foundations of Approximate Kernel Selection Lizhong Ding, Shizhong Liao
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Attributed Graph Kernels Using the Jensen-Tsallis Q-Differences Lu Bai, Luca Rossi, Horst Bunke, Edwin R. Hancock
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Automatic Design of Neuromarkers for OCD Characterization Oscar García Hinde, Emilio Parrado-Hernández, Vanessa Gómez-Verdejo, Manel Martínez-Ramón, Carles Soriano-Mas
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Bayesian Models for Structured Sparse Estimation via Set Cover Prior Xianghang Liu, Xinhua Zhang, Tibério S. Caetano
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Bayesian Multi-View Tensor Factorization Suleiman A. Khan, Samuel Kaski
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Be Certain of How-to Before Mining Uncertain Data Francesco Gullo, Giovanni Ponti, Andrea Tagarelli
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BestTime: Finding Representatives in Time Series Datasets Stephan Spiegel, David Schultz, Sahin Albayrak
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Beyond Blocks: Hyperbolic Community Detection Miguel Araujo, Stephan Günnemann, Gonzalo Mateos, Christos Faloutsos
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Bi-Directional Representation Learning for Multi-Label Classification Xin Li, Yuhong Guo
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BMaD - A Boolean Matrix Decomposition Framework Andrey Tyukin, Stefan Kramer, Jörg Wicker
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Boosted Bellman Residual Minimization Handling Expert Demonstrations Bilal Piot, Matthieu Geist, Olivier Pietquin
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Boosted Mean Shift Clustering Ya-Zhou Ren, Uday Kamath, Carlotta Domeniconi, Guoji Zhang
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Branty: A Social Media Ranking Tool for Brands Alexandros Arvanitidis, Anna Serafi, Athena Vakali, Grigorios Tsoumakas
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Causal Clustering for 2-Factor Measurement Models Erich Kummerfeld, Joe Ramsey, Renjie Yang, Peter Spirtes, Richard Scheines
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Cautious Ordinal Classification by Binary Decomposition Sébastien Destercke, Gen Yang
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Classifying a Stream of Infinite Concepts: A Bayesian Non-Parametric Approach Seyyed Abbas Hosseini, Hamid R. Rabiee, Hassan Hafez, Ali Soltani-Farani
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Clustering Image Search Results by Entity Disambiguation Kaiqi Zhao, Zhiyuan Cai, Qingyu Sui, Enxun Wei, Kenny Q. Zhu
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Clustering via Mode Seeking by Direct Estimation of the Gradient of a Log-Density Hiroaki Sasaki, Aapo Hyvärinen, Masashi Sugiyama
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Code You Are Happy to Paste: An Algorithmic Dictionary of Exponential Families Olivier Schwander
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Combination of One-Class Support Vector Machines for Classification with Reject Option Blaise Hanczar, Michèle Sebag
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Communication-Efficient Distributed Online Prediction by Dynamic Model Synchronization Michael Kamp, Mario Boley, Daniel Keren, Assaf Schuster, Izchak Sharfman
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Concurrent Bandits and Cognitive Radio Networks Orly Avner, Shie Mannor
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Conditional Log-Linear Models for Mobile Application Usage Prediction Jingu Kim, Taneli Mielikäinen
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Conic Multi-Task Classification Cong Li, Michael Georgiopoulos, Georgios C. Anagnostopoulos
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Consistency of Losses for Learning from Weak Labels Jesús Cid-Sueiro, Dario García-García, Raúl Santos-Rodríguez
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Convergence of Min-Sum-Min Message-Passing for Quadratic Optimization Guoqiang Zhang, Richard Heusdens
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Covariate-Correlated Lasso for Feature Selection Bo Jiang, Chris H. Q. Ding, Bin Luo
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Cutset Networks: A Simple, Tractable, and Scalable Approach for Improving the Accuracy of Chow-Liu Trees Tahrima Rahman, Prasanna V. Kothalkar, Vibhav Gogate
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Deconstructing Kernel Machines Mohsen Ali, Muhammad Rushdi, Jeffrey Ho
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Density-Based Subspace Clustering in Heterogeneous Networks Brigitte Boden, Martin Ester, Thomas Seidl
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Deterministic Feature Selection for Regularized Least Squares Classification Saurabh Paul, Petros Drineas
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Discovering Dynamic Communities in Interaction Networks Polina Rozenshtein, Nikolaj Tatti, Aristides Gionis
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Discriminative Subnetworks with Regularized Spectral Learning for Global-State Network Data Xuan-Hong Dang, Ambuj K. Singh, Petko Bogdanov, Hongyuan You, Bayyuan Hsu
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Distinct Chains for Different Instances: An Effective Strategy for Multi-Label Classifier Chains Pablo Nascimento da Silva, Eduardo Corrêa Gonçalves, Alexandre Plastino, Alex Alves Freitas
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Distributional Clauses Particle Filter Davide Nitti, Tinne De Laet, Luc De Raedt
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Domain Adaptation with Regularized Optimal Transport Nicolas Courty, Rémi Flamary, Devis Tuia
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Effective Blending of Two and Three-Way Interactions for Modeling Multi-Relational Data Alberto García-Durán, Antoine Bordes, Nicolas Usunier
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Error-Bounded Approximations for Infinite-Horizon Discounted Decentralized POMDPs Jilles Steeve Dibangoye, Olivier Buffet, François Charpillet
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Evidence-Based Clustering for Scalable Inference in Markov Logic Deepak Venugopal, Vibhav Gogate
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Experimental Design in Dynamical System Identification: A Bandit-Based Active Learning Approach Artémis Llamosi, Adel Mezine, Florence d'Alché-Buc, Véronique Letort, Michèle Sebag
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FASOLE: Fast Algorithm for Structured Output LEarning Vojtech Franc
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Fast Estimation of the Pattern Frequency Spectrum Matthijs van Leeuwen, Antti Ukkonen
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Fast Gaussian Pairwise Constrained Spectral Clustering David Chatel, Pascal Denis, Marc Tommasi
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Fast LSTD Using Stochastic Approximation: Finite Time Analysis and Application to Traffic Control L. A. Prashanth, Nathaniel Korda, Rémi Munos
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Fast Nearest Neighbor Search on Large Time-Evolving Graphs Leman Akoglu, Rohit Khandekar, Vibhore Kumar, Srinivasan Parthasarathy, Deepak Rajan, Kun-Lung Wu
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Faster Way to Agony - Discovering Hierarchies in Directed Graphs Nikolaj Tatti
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FILTA: Better View Discovery from Collections of Clusterings via Filtering Yang Lei, Xuan Vinh Nguyen, Jeffrey Chan, James Bailey
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Flexible Shift-Invariant Locality and Globality Preserving Projections Feiping Nie, Xiao Cai, Heng Huang
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FLIP: Active Learning for Relational Network Classification Tanwistha Saha, Huzefa Rangwala, Carlotta Domeniconi
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Gaussian Process Multi-Task Learning Using Joint Feature Selection P. K. Srijith, Shirish K. Shevade
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Generalized Online Sparse Gaussian Processes with Application to Persistent Mobile Robot Localization Kian Hsiang Low, Nuo Xu, Jie Chen, Keng Kiat Lim, Etkin Baris Özgül
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GMRF Estimation Under Topological and Spectral Constraints Victorin Martin, Cyril Furtlehner, Yufei Han, Jean-Marc Lasgouttes
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GrammarViz 2.0: A Tool for Grammar-Based Pattern Discovery in Time Series Pavel Senin, Jessica Lin, Xing Wang, Tim Oates, Sunil Gandhi, Arnold P. Boedihardjo, Crystal Chen, Susan Frankenstein, Manfred Lerner
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Hetero-Labeled LDA: A Partially Supervised Topic Model with Heterogeneous Labels Dongyeop Kang, Youngja Park, Suresh Chari
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Heterogeneous Stream Processing and Crowdsourcing for Traffic Monitoring: Highlights François Schnitzler, Alexander Artikis, Matthias Weidlich, Ioannis Boutsis, Thomas Liebig, Nico Piatkowski, Christian Bockermann, Katharina Morik, Vana Kalogeraki, Jakub Marecek, Avigdor Gal, Shie Mannor, Dermot Kinane, Dimitrios Gunopulos
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Hierarchical Latent Tree Analysis for Topic Detection Tengfei Liu, Nevin Lianwen Zhang, Peixian Chen
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How Many Topics? Stability Analysis for Topic Models Derek Greene, Derek O'Callaghan, Padraig Cunningham
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Hypernode Graphs for Spectral Learning on Binary Relations over Sets Thomas Ricatte, Rémi Gilleron, Marc Tommasi
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Importance Weighted Inductive Transfer Learning for Regression Jochen Garcke, Thomas Vanck
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Infinitely Many-Armed Bandits with Unknown Value Distribution Yahel David, Nahum Shimkin
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Insight4News: Connecting News to Relevant Social Conversations Bichen Shi, Georgiana Ifrim, Neil Hurley
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Integer Bayesian Network Classifiers Sebastian Tschiatschek, Karin Paul, Franz Pernkopf
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Interactive Knowledge-Based Kernel PCA Dino Oglic, Daniel Paurat, Thomas Gärtner
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Interactive Medical Miner: Interactively Exploring Subpopulations in Epidemiological Datasets Uli Niemann, Myra Spiliopoulou, Henry Völzke, Jens-Peter Kühn
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Interestingness-Driven Diffusion Process Summarization in Dynamic Networks Qiang Qu, Siyuan Liu, Christian S. Jensen, Feida Zhu, Christos Faloutsos
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Joint Prediction of Topics in a URL Hierarchy Michael Großhans, Christoph Sawade, Tobias Scheffer, Niels Landwehr
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Kernel Alignment Inspired Linear Discriminant Analysis Shuai Zheng, Chris H. Q. Ding
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Kernel Principal Geodesic Analysis Suyash P. Awate, Yen-Yun Yu, Ross T. Whitaker
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Khiops CoViz: A Tool for Visual Exploratory Analysis of K-Coclustering Results Bruno Guerraz, Marc Boullé, Dominique Gay, Fabrice Clérot
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Knowledge-Powered Deep Learning for Word Embedding Jiang Bian, Bin Gao, Tie-Yan Liu
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KnowNow: A Serendipity-Based Educational Tool for Learning Time-Linked Knowledge Luigi Di Caro, Livio Robaldo, Nicoletta Bersia
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Large-Scale Multi-Label Text Classification - Revisiting Neural Networks Jinseok Nam, Jungi Kim, Eneldo Loza Mencía, Iryna Gurevych, Johannes Fürnkranz
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Learned-Norm Pooling for Deep Feedforward and Recurrent Neural Networks Çaglar Gülçehre, KyungHyun Cho, Razvan Pascanu, Yoshua Bengio
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Learning Binary Codes with Bagging PCA Cong Leng, Jian Cheng, Ting Yuan, Xiao Bai, Hanqing Lu
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Linear State-Space Model with Time-Varying Dynamics Jaakko Luttinen, Tapani Raiko, Alexander Ilin
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Link Prediction in Multi-Modal Social Networks Panagiotis Symeonidis, Christos Perentis
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Local Policy Search in a Convex Space and Conservative Policy Iteration as Boosted Policy Search Bruno Scherrer, Matthieu Geist
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Machine Learning Approaches for Metagenomics Huzefa Rangwala, Anveshi Charuvaka, Zeehasham Rasheed
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Mining Top-K Largest Tiles in a Data Stream Hoang Thanh Lam, Wenjie Pei, Adriana Prado, Baptiste Jeudy, Élisa Fromont
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MinUS: Mining User Similarity with Trajectory Patterns Xihui Chen, Piotr Kordy, Ruipeng Lu, Jun Pang
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Multi-Target Regression via Random Linear Target Combinations Grigorios Tsoumakas, Eleftherios Spyromitros Xioufis, Aikaterini Vrekou, Ioannis P. Vlahavas
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Network Reconstruction for the Identification of miRNA: mRNA Interaction Networks Gianvito Pio, Michelangelo Ceci, Domenica D'Elia, Donato Malerba
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Neural Gaussian Conditional Random Fields Vladan Radosavljevic, Slobodan Vucetic, Zoran Obradovic
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Neutralized Empirical Risk Minimization with Generalization Neutrality Bound Kazuto Fukuchi, Jun Sakuma
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Nonparametric Markovian Learning of Triggering Kernels for Mutually Exciting and Mutually Inhibiting Multivariate Hawkes Processes Rémi Lemonnier, Nicolas Vayatis
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Nowcasting with Numerous Candidate Predictors Brendan Andrew Duncan, Charles Elkan
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On Learning Matrices with Orthogonal Columns or Disjoint Supports Kevin Vervier, Pierre Mahé, Alexandre d'Aspremont, Jean-Baptiste Veyrieras, Jean-Philippe Vert
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On the Equivalence Between Deep NADE and Generative Stochastic Networks Li Yao, Sherjil Ozair, KyungHyun Cho, Yoshua Bengio
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On the Null Distribution of the Precision and Recall Curve Miguel Lopes, Gianluca Bontempi
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Open Question Answering with Weakly Supervised Embedding Models Antoine Bordes, Jason Weston, Nicolas Usunier
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Optimal Thresholding of Classifiers to Maximize F1 Measure Zachary Chase Lipton, Charles Elkan, Balakrishnan Narayanaswamy
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Policy Search for Path Integral Control Vicenç Gómez, Hilbert J. Kappen, Jan Peters, Gerhard Neumann
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Preventing Over-Fitting of Cross-Validation with Kernel Stability Yong Liu, Shizhong Liao
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Propositionalization Online Nada Lavrac, Matic Perovsek, Anze Vavpetic
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Pushing-Down Tensor Decompositions over Unions to Promote Reuse of Materialized Decompositions Mijung Kim, K. Selçuk Candan
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PYTHIA: Employing Lexical and Semantic Features for Sentiment Analysis Ioannis Manousos Katakis, Iraklis Varlamis, George Tsatsaronis
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Random Forests with Random Projections of the Output Space for High Dimensional Multi-Label Classification Arnaud Joly, Pierre Geurts, Louis Wehenkel
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Randomized Operating Point Selection in Adversarial Classification Viliam Lisý, Robert Kessl, Tomás Pevný
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Ranked Tiling Thanh Le Van, Matthijs van Leeuwen, Siegfried Nijssen, Ana Carolina Fierro, Kathleen Marchal, Luc De Raedt
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Rate-Constrained Ranking and the Rate-Weighted AUC Louise A. C. Millard, Peter A. Flach, Julian P. T. Higgins
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Rate-Oriented Point-Wise Confidence Bounds for ROC Curves Louise A. C. Millard, Meelis Kull, Peter A. Flach
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Ratio-Based Multiple Kernel Clustering Grigorios Tzortzis, Aristidis Likas
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Recurrent Greedy Parsing with Neural Networks Joël Legrand, Ronan Collobert
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Relative Comparison Kernel Learning with Auxiliary Kernels Eric Heim, Hamed Valizadegan, Milos Hauskrecht
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Reliability Maps: A Tool to Enhance Probability Estimates and Improve Classification Accuracy Meelis Kull, Peter A. Flach
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Revisit Behavior in Social Media: The Phoenix-R Model and Discoveries Flavio Figueiredo, Jussara M. Almeida, Yasuko Matsubara, Bruno Ribeiro, Christos Faloutsos
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Robust Distributed Training of Linear Classifiers Based on Divergence Minimization Principle Junpei Komiyama, Hidekazu Oiwa, Hiroshi Nakagawa
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Sampling-Based Data Mining Algorithms: Modern Techniques and Case Studies Matteo Riondato
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Scalable Information Flow Mining in Networks Karthik Subbian, Chidananda Sridhar, Charu C. Aggarwal, Jaideep Srivastava
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Scalable Moment-Based Inference for Latent Dirichlet Allocation Chi Wang, Xueqing Liu, Yanglei Song, Jiawei Han
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Scalable Nonnegative Matrix Factorization with Block-Wise Updates Jiangtao Yin, Lixin Gao, Zhongfei (Mark) Zhang
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Semi-Supervised Learning Using an Unsupervised Atlas Nikolaos Pitelis, Chris Russell, Lourdes Agapito
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Separating Rule Refinement and Rule Selection Heuristics in Inductive Rule Learning Julius Stecher, Frederik Janssen, Johannes Fürnkranz
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Spá: A Web-Based Viewer for Text Mining in Evidence Based Medicine Joël Kuiper, Iain James Marshall, Byron C. Wallace, Morris A. Swertz
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Speeding up Recovery from Concept Drifts Silas Garrido Teixeira de Carvalho Santos, Paulo Mauricio Gonçalves Júnior, Geyson Daniel dos Santos Silva, Roberto Souto Maior de Barros
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Statistical Hypothesis Testing in Positive Unlabelled Data Konstantinos Sechidis, Borja Calvo, Gavin Brown
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Students, Teachers, Exams and MOOCs: Predicting and Optimizing Attainment in Web-Based Education Using a Probabilistic Graphical Model Bar Shalem, Yoram Bachrach, John Guiver, Christopher M. Bishop
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Sub-Sampling for Multi-Armed Bandits Akram Baransi, Odalric-Ambrym Maillard, Shie Mannor
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Support Vector Machines for Differential Prediction Finn Kuusisto, Vítor Santos Costa, Houssam Nassif, Elizabeth S. Burnside, David Page, Jude W. Shavlik
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Towards Automatic Feature Construction for Supervised Classification Marc Boullé
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Training Restricted Boltzmann Machines with Overlapping Partitions Hasari Tosun, John W. Sheppard
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Transductive Minimax Probability Machine Gao Huang, Shiji Song, Zhixiang Eddie Xu, Kilian Q. Weinberger
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Transfer Learning with Multiple Sources via Consensus Regularized Autoencoders Fuzhen Zhuang, Xiaohu Cheng, Sinno Jialin Pan, Wenchao Yu, Qing He, Zhongzhi Shi
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Unsupervised Feature Selection via Unified Trace Ratio Formulation and K-Means Clustering (TRACK) De Wang, Feiping Nie, Heng Huang
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WebDR: A Web Workbench for Data Reduction Stefanos Ougiaroglou, Georgios Evangelidis
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