ECML-PKDD 2012

124 papers

A Bayesian Approach for Classification Rule Mining in Quantitative Databases Dominique Gay, Marc Boullé

A Bayesian Scoring Technique for Mining Predictive and Non-Spurious Rules Iyad Batal, Gregory F. Cooper, Milos Hauskrecht

A Family of Feed-Forward Models for Protein Sequence Classification Sam Blasiak, Huzefa Rangwala, Kathryn B. Laskey

A Framework for Evaluating the Smoothness of Data-Mining Results Gaurav Misra, Behzad Golshan, Evimaria Terzi

A Live Comparison of Methods for Personalized Article Recommendation at Forbes.com Evan Kirshenbaum, George Forman, Michael Dugan

A Note on Extending Generalization Bounds for Binary Large-Margin Classifiers to Multiple Classes Ürün Dogan, Tobias Glasmachers, Christian Igel

Active Evaluation of Ranking Functions Based on Graded Relevance Christoph Sawade, Steffen Bickel, Timo von Oertzen, Tobias Scheffer, Niels Landwehr

Adaptive Planning for Markov Decision Processes with Uncertain Transition Models via Incremental Feature Dependency Discovery N. Kemal Ure, Alborz Geramifard, Girish Chowdhary, Jonathan P. How

Adaptive Two-View Online Learning for Math Topic Classification Tam T. Nguyen, Kuiyu Chang, Siu Cheung Hui

An Aspect-Lexicon Creation and Evaluation Tool for Sentiment Analysis Researchers Mus'ab Husaini, Ahmet Koçyigit, Dilek Tapucu, Berrin A. Yanikoglu, Yücel Saygin

An Efficiently Computable Support Measure for Frequent Subgraph Pattern Mining Yuyi Wang, Jan Ramon

An Experimental Comparison of Hybrid Algorithms for Bayesian Network Structure Learning Maxime Gasse, Alex Aussem, Haytham Elghazel

Analyzing Text and Social Network Data with Probabilistic Models Padhraic Smyth

APRIL: Active Preference Learning-Based Reinforcement Learning Riad Akrour, Marc Schoenauer, Michèle Sebag

Association Rule Mining Following the Web Search Paradigm Radek Skrabal, Milan Simunek, Stanislav Vojír, Andrej Hazucha, Tomás Marek, David Chudán, Tomás Kliegr

ASV Monitor: Creating Comparability of Machine Learning Methods for Content Analysis Andreas Niekler, Patrick Jähnichen, Gerhard Heyer

AUDIO: An Integrity Auditing Framework of Outlier-Mining-as-a-Service Systems Ruilin Liu, Wendy Hui Wang, Anna Monreale, Dino Pedreschi, Fosca Giannotti, Wenge Guo

Author Name Disambiguation Using a New Categorical Distribution Similarity Shaohua Li, Gao Cong, Chunyan Miao

Autonomous Data-Driven Decision-Making in Smart Electricity Markets Markus Peters, Wolfgang Ketter, Maytal Saar-Tsechansky, John Collins

Bayesian Network Classifiers with Reduced Precision Parameters Sebastian Tschiatschek, Peter Reinprecht, Manfred Mücke, Franz Pernkopf

Bayesian Nonparametric Inverse Reinforcement Learning Bernard Michini, Jonathan P. How

BDUOL: Double Updating Online Learning on a Fixed Budget Peilin Zhao, Steven C. H. Hoi

Bidirectional Semi-Supervised Learning with Graphs Tomoharu Iwata, Kevin Duh

Boosting Nearest Neighbors for the Efficient Estimation of Posteriors Roberto D'Ambrosio, Richard Nock, Wafa Bel Haj Ali, Frank Nielsen, Michel Barlaud

Bootstrapping Monte Carlo Tree Search with an Imperfect Heuristic Truong-Huy Dinh Nguyen, Wee Sun Lee, Tze-Yun Leong

CC-MR - Finding Connected Components in Huge Graphs with MapReduce Thomas Seidl, Brigitte Boden, Sergej Fries

Classifying Stem Cell Differentiation Images by Information Distance Xianglilan Zhang, Hongnan Wang, Tony J. Collins, Zhigang Luo, Ming Li

ClowdFlows: A Cloud Based Scientific Workflow Platform Janez Kranjc, Vid Podpecan, Nada Lavrac

Collective Information Extraction with Context-Specific Consistencies Peter Klügl, Martin Toepfer, Florian Lemmerich, Andreas Hotho, Frank Puppe

Combining Subjective Probabilities and Data in Training Markov Logic Networks Tivadar Papai, Shalini Ghosh, Henry A. Kautz

Community Trend Outlier Detection Using Soft Temporal Pattern Mining Manish Gupta, Jing Gao, Yizhou Sun, Jiawei Han

Coupled Bayesian Sets Algorithm for Semi-Supervised Learning and Information Extraction Saurabh Verma, Estevam R. Hruschka Jr.

Data Structures for Detecting Rare Variations in Time Series Caio Dias Valentim, Eduardo Sany Laber, David Sotelo

Declarative Modeling for Machine Learning and Data Mining Luc De Raedt

Differentially Private Projected Histograms: Construction and Use for Prediction Staal Amund Vinterbo

Discovering Descriptive Tile Trees - By Mining Optimal Geometric Subtiles Nikolaj Tatti, Jilles Vreeken

Discovering Links Among Social Networks Francesco Buccafurri, Gianluca Lax, Antonino Nocera, Domenico Ursino

Discriminative Factor Alignment Across Heterogeneous Feature Space Fangwei Hu, Tianqi Chen, Nathan Nan Liu, Qiang Yang, Yong Yu

Distance Metric Learning Revisited Qiong Cao, Yiming Ying, Peng Li

Diversity Regularized Ensemble Pruning Nan Li, Yang Yu, Zhi-Hua Zhou

Efficient Bi-Objective Team Formation in Social Networks Mehdi Kargar, Aijun An, Morteza Zihayat

Efficient Discovery of Association Rules and Frequent Itemsets Through Sampling with Tight Performance Guarantees Matteo Riondato, Eli Upfal

Efficient Graph Kernels by Randomization Marion Neumann, Novi Patricia, Roman Garnett, Kristian Kersting

Efficient Training of Graph-Regularized Multitask SVMs Christian Widmer, Marius Kloft, Nico Görnitz, Gunnar Rätsch

Embedding Monte Carlo Search of Features in Tree-Based Ensemble Methods Francis Maes, Pierre Geurts, Louis Wehenkel

Ensembles on Random Patches Gilles Louppe, Pierre Geurts

Extension of the Rocchio Classification Method to Multi-Modal Categorization of Documents in Social Media Amin Mantrach, Jean-Michel Renders

Extracting Trajectories Through an Efficient and Unifying Spatio-Temporal Pattern Mining System Phan Nhat Hai, Dino Ienco, Pascal Poncelet, Maguelonne Teisseire

Fairness-Aware Classifier with Prejudice Remover Regularizer Toshihiro Kamishima, Shotaro Akaho, Hideki Asoh, Jun Sakuma

Fast ALS-Based Tensor Factorization for Context-Aware Recommendation from Implicit Feedback Balázs Hidasi, Domonkos Tikk

Fast near Neighbor Search in High-Dimensional Binary Data Anshumali Shrivastava, Ping Li

Fast Reinforcement Learning with Large Action Sets Using Error-Correcting Output Codes for MDP Factorization Gabriel Dulac-Arnold, Ludovic Denoyer, Philippe Preux, Patrick Gallinari

Feature-Enhanced Probabilistic Models for Diffusion Network Inference Liaoruo Wang, Stefano Ermon, John E. Hopcroft

Fully Sparse Topic Models Khoat Than, Tu Bao Ho

General Algorithms for Mining Closed Flexible Patterns Under Various Equivalence Relations Tomohiro I, Yuki Enokuma, Hideo Bannai, Masayuki Takeda

Generic Pattern Trees for Exhaustive Exceptional Model Mining Florian Lemmerich, Martin Becker, Martin Atzmueller

Geodesic Analysis on the Gaussian RKHS Hypersphere Nicolas Courty, Thomas Burger, Pierre-François Marteau

Geometry Preserving Multi-Task Metric Learning Peipei Yang, Kaizhu Huang, Cheng-Lin Liu

Graph Mining for Object Tracking in Videos Fabien Diot, Élisa Fromont, Baptiste Jeudy, Emmanuel Marilly, Olivier Martinot

Graph-Based Transduction with Confidence Matan Orbach, Koby Crammer

Handling Time Changing Data with Adaptive Very Fast Decision Rules Petr Kosina, João Gama

Hypergraph Learning with Hyperedge Expansion Li Pu, Boi Faltings

Hypergraph Spectra for Semi-Supervised Feature Selection Zhihong Zhang, Edwin R. Hancock, Xiao Bai

Improved Counter Based Algorithms for Frequent Pairs Mining in Transactional Data Streams Konstantin Kutzkov

Inferring Geographic Coincidence in Ephemeral Social Networks Honglei Zhuang, Alvin Chin, Sen Wu, Wei Wang, Xia Wang, Jie Tang

Influence Spread in Large-Scale Social Networks - A Belief Propagation Approach Huy Nguyen, Rong Zheng

Invariant Time-Series Classification Josif Grabocka, Alexandros Nanopoulos, Lars Schmidt-Thieme

Knowledge Discovery Through Symbolic Regression with HeuristicLab Gabriel Kronberger, Stefan Wagner, Michael Kommenda, Andreas Beham, Andreas Scheibenpflug, Michael Affenzeller

Label-Noise Robust Logistic Regression and Its Applications Jakramate Bootkrajang, Ata Kabán

Learning and Inference in Probabilistic Classifier Chains with Beam Search Abhishek Kumar, Shankar Vembu, Aditya Krishna Menon, Charles Elkan

Learning Bi-Clustered Vector Autoregressive Models Tzu-Kuo Huang, Jeff G. Schneider

Learning Compact Class Codes for Fast Inference in Large Multi Class Classification Moustapha Cissé, Thierry Artières, Patrick Gallinari

Learning Multiple Tasks with Boosted Decision Trees Jean Baptiste Faddoul, Boris Chidlovskii, Rémi Gilleron, Fabien Torre

Learning Neighborhoods for Metric Learning Jun Wang, Adam Woznica, Alexandros Kalousis

Learning Policies for Battery Usage Optimization in Electric Vehicles Stefano Ermon, Yexiang Xue, Carla P. Gomes, Bart Selman

Learning Submodular Functions Maria-Florina Balcan, Nicholas J. A. Harvey

Learning to Perceive Two-Dimensional Displays Using Probabilistic Grammars Nan Li, William W. Cohen, Kenneth R. Koedinger

Lifted Online Training of Relational Models with Stochastic Gradient Methods Babak Ahmadi, Kristian Kersting, Sriraam Natarajan

Location Affiliation Networks: Bonding Social and Spatial Information Konstantinos Pelechrinis, Prashant Krishnamurthy

Machine Learning for Robotics Pieter Abbeel

Machine Learning Methods for Music Discovery and Recommendation Douglas Eck

Massively Parallel Feature Selection: An Approach Based on Variance Preservation Zheng Zhao, James Cox, David Duling, Warren Sarle

Matrix Factorization as Search Kristian Kersting, Christian Bauckhage, Christian Thurau, Mirwaes Wahabzada

Maximum Consistency Preferential Random Walks Deguang Kong, Chris H. Q. Ding

MDL-Based Analysis of Time Series at Multiple Time-Scales Ugo Vespier, Arno J. Knobbe, Siegfried Nijssen, Joaquin Vanschoren

Metal Binding in Proteins: Machine Learning Complements X-Ray Absorption Spectroscopy Marco Lippi, Andrea Passerini, Marco Punta, Paolo Frasconi

Mirror Descent for Metric Learning: A Unified Approach Gautam Kunapuli, Jude W. Shavlik

Modelling Input Varying Correlations Between Multiple Responses Andrew Gordon Wilson, Zoubin Ghahramani

Multi-Task Boosting by Exploiting Task Relationships Yu Zhang, Dit-Yan Yeung

Nearly Exact Mining of Frequent Trees in Large Networks Ashraf M. Kibriya, Jan Ramon

On Approximation of Real-World Influence Spread Yu Yang, Enhong Chen, Qi Liu, Biao Xiang, Tong Xu, Shafqat Ali Shad

Opinion Formation by Voter Model with Temporal Decay Dynamics Masahiro Kimura, Kazumi Saito, Kouzou Ohara, Hiroshi Motoda

OutRules: A Framework for Outlier Descriptions in Multiple Context Spaces Emmanuel Müller, Fabian Keller, Sebastian Blanc, Klemens Böhm

ParCube: Sparse Parallelizable Tensor Decompositions Evangelos E. Papalexakis, Christos Faloutsos, Nicholas D. Sidiropoulos

PCA, Eigenvector Localization and Clustering for Side-Channel Attacks on Cryptographic Hardware Devices Dimitrios Mavroeidis, Lejla Batina, Twan van Laarhoven, Elena Marchiori

Pedestrian Quantity Estimation with Trajectory Patterns Thomas Liebig, Zhao Xu, Michael May, Stefan Wrobel

Policy Iteration Based on a Learned Transition Model Vivek Ramavajjala, Charles Elkan

Probability Estimation for Multi-Class Classification Based on Label Ranking Weiwei Cheng, Eyke Hüllermeier

Reachability Analysis and Modeling of Dynamic Event Networks Kathy Macropol, Ambuj K. Singh

Relational Differential Prediction Houssam Nassif, Vítor Santos Costa, Elizabeth S. Burnside, David Page

Scalable Relation Prediction Exploiting Both Intrarelational Correlation and Contextual Information Xueyan Jiang, Volker Tresp, Yi Huang, Maximilian Nickel, Hans-Peter Kriegel

Scientific Workflow Management with ADAMS Peter Reutemann, Joaquin Vanschoren

Score-Based Bayesian Skill Learning Shengbo Guo, Scott Sanner, Thore Graepel, Wray L. Buntine

Semi-Supervised Multi-Label Classification - A Simultaneous Large-Margin, Subspace Learning Approach Yuhong Guo, Dale Schuurmans

Sentiment Classification with Supervised Sequence Embedding Dmitriy Bespalov, Yanjun Qi, Bing Bai, Ali Shokoufandeh

Separable Approximate Optimization of Support Vector Machines for Distributed Sensing Sangkyun Lee, Marco Stolpe, Katharina Morik

Size Matters: Finding the Most Informative Set of Window Lengths Jefrey Lijffijt, Panagiotis Papapetrou, Kai Puolamäki

Smoothing Categorical Data Arno Siebes, René Kersten

Socioscope: Spatio-Temporal Signal Recovery from Social Media Jun-Ming Xu, Aniruddha Bhargava, Robert D. Nowak, Xiaojin Zhu

Solving Problems with Visual Analytics: Challenges and Applications Daniel A. Keim

Sparse Gaussian Processes for Multi-Task Learning Yuyang Wang, Roni Khardon

Stochastic Coordinate Descent Methods for Regularized Smooth and Nonsmooth Losses Qing Tao, Kang Kong, Dejun Chu, Gao-wei Wu

Structured Apprenticeship Learning Abdeslam Boularias, Oliver Krömer, Jan Peters

Sublinear Algorithms for Penalized Logistic Regression in Massive Datasets Haoruo Peng, Zhengyu Wang, Edward Y. Chang, Shuchang Zhou, Zhihua Zhang

Supervised Learning of Semantic Relatedness Ran El-Yaniv, David Yanay

The Bitvector Machine: A Fast and Robust Machine Learning Algorithm for Non-Linear Problems Stefan Edelkamp, Martin Stommel

TopicExplorer: Exploring Document Collections with Topic Models Alexander Hinneburg, Rico Preiss, René Schröder

Transfer Spectral Clustering Wenhao Jiang, Fu-Lai Chung

Unsupervised Bayesian Part of Speech Inference with Particle Gibbs Gregory Dubbin, Phil Blunsom

Unsupervised Inference of Auditory Attention from Biosensors Melih Kandemir, Arto Klami, Akos Vetek, Samuel Kaski

VIKAMINE - Open-Source Subgroup Discovery, Pattern Mining, and Analytics Martin Atzmueller, Florian Lemmerich

Viral Marketing for Product Cross-Sell Through Social Networks Ramasuri Narayanam, Amit Anil Nanavati

Which Topic Will You Follow? Deqing Yang, Yanghua Xiao, Bo Xu, Hanghang Tong, Wei Wang, Sheng Huang

WikiSent: Weakly Supervised Sentiment Analysis Through Extractive Summarization with Wikipedia Subhabrata Mukherjee, Pushpak Bhattacharyya