Accepted Papers   

LNAI - Series 

ECML/PKDD 2007 Proceedings are published by Springer Verlag in the LNAI series. By special arrangement with Springer Verlag, conference proceedings were available on-line during the conference.

ECML Proceedings 


ECML Proceedings: Joost N. Kok, Jacek Koronacki, Ramon Lopez
de Mantaras, Stan Matwin, Dunja Mladenič, Andrzej Skowron (Eds.), Machine Learning: ECML 2007. 18th European Conference on Machine Learning. Warsaw, Poland, September 17-21, 2007. Proceedings.
Lecture Notes in Artificial Intelligence 4701, Springer 2007,
ISBN: 978-3-540-74957-8.

PKDD Proceedings 

PKDD Proceedings: Joost N. Kok, Jacek Koronacki, Ramon Lopez
de Mantaras, Stan Matwin, Dunja Mladenič, Andrzej Skowron (Eds.), Knowledge Discovery in Databases: PKDD 2007. 11th European Conference on Principles and Practice of Knowledge Discovery in Databases. Warsaw, Poland, September 17-21, 2007. Proceedings. Lecture Notes in Artificial Intelligence 4702, Springer 2007, ISBN: 978-3-540-74975-2.



List of all accepted papers

ECML Regular Papers  |  ECML Short Papers  |   PKDD Regular Papers  |  PKDD Short Papers

        ECML Regular Papers

Statistical Debugging using Latent Topic Models
   Authors: David Andrzejewski, Anne Mulhern, Ben Liblit, Xiaojin Zhu

Learning Balls of Strings with Correction Queries
   Authors: Jean-Christophe Janodet, Frédéric Tantini

Neighborhood-Based Local Sensitivity
   Authors: Paul N. Bennett

Approximating Gaussian Processes with H2-matrices
   Authors: Steffen Börm, Jochen Garcke

Learning Similarity between Tree Structured Data: Application to Image Recognition
   Authors: Laurent Boyer, Amaury Habrard, Marc Sebban

Shrinkage Estimator for Bayesian Network Parameters
   Authors: John Burge, Terran Lane

Level Learning Set: A Novel Classifier Based on Active Contour Models
   Authors: Xiongcai Cai, Arcot Sowmya

Learning Partially Observable Markov Models from First Passage Times
   Authors: Jérôme Callut, Pierre Dupont

Context Sensitive Paraphrasing with a Single Unsupervised Classifier
   Authors: Michael Connor, Dan Roth

Dual Strategy Active Learning
   Authors: Pinar Donmez, Jaime G. Carbonell, Paul N. Bennett

Decision Tree Instability and Active Learning
   Authors: Kenneth Dwyer, Robert Holte

Constraint Selection by Committee: An Ensemble Approach to Identifying Informative Constraints for Semi-Supervised Clustering
   Authors: Derek Greene, Pádraig Cunningham

The Cost of Learning Directed Cuts
   Authors: Thomas Gärtner, Gemma C. Garriga

Spectral Clustering and Embedding with Hidden Markov Models
   Authors: Tony Jebara, Yingbo Song, Kapil Thadani

Probabilistic Explanation Based Learning
   Authors: Angelika Kimmig, Luc De Raedt, Hannu Toivonen

Graph-Based Domain Mapping for Transfer Learning in General Games
   Authors: Gregory Kuhlmann, Peter Stone

Learning to Classify Documents with Only a Small Positive Training Set
   Authors: Xiao-Li Li, Bing Liu, See-Kiong Ng

Structure Learning of Probabilistic Relational Models from Incomplete Relational Data
   Authors: Xiao-Lin Li, Zhi-Hua Zhou

Stability based Sparse LSI/PCA: Incorporating Feature Selection in LSI and PCA
   Authors: Dimitrios Mavroeidis, Michalis Vazirgiannis

Bayesian Substructure Learning - Approximate Learning of Very Large Network Structures
   Authors: Andreas Nägele, Mathäus Dejori, Martin Stetter

Efficient Continuous-Time Reinforcement Learning with Adaptive State Graphs
   Authors: Gerhard Neumann, Michael Pfeiffer, Wolfgang Maass

Source Separation with Gaussian Process Models
   Authors: Sunho Park, Seungjin Choi

Discriminative Sequence Labeling by Z-score Optimization
   Authors: Elisa Ricci, Tijl de Bie, Nello Cristianini

Fast Optimization for L1 Regularization: Evaluation and Two New Approaches
   Authors: Mark Schmidt, Glenn M. Fung, Romer Rosales

Bayesian Inference for Sparse Generalized Linear Models
   Authors: Matthias Seeger, Sebastian Gerwinn, Matthias Bethge

Classifier Loss under Metric Uncertainty
   Authors: David Skalak, Alexandru Niculescu-Mizil, Rich Caruana

Additive Groves of Regression Trees
   Authors: Daria Sorokina, Rich Caruana, Mirek Riedewald

Efficient Computation of Recursive Principal Component Analysis for Structured Input
   Authors: Alessandro Sperduti

Hinge Rank Loss and the Area under the ROC Curve
   Authors: Harald Steck

Clustering Trees with Instance Level Constraints
   Authors: Jan Struyf, Sašo Džeroski

On Pairwise Naive Bayes Classifiers
   Authors: Jan-Nikolas Sulzmann, Johannes Fürnkranz, Eyke Hüllermeier

Separating Precision and Mean in Dirichlet-enhanced High-order Markov Models
   Authors: Rikiya Takahashi

Safe Q-Learning on Complete History Spaces
   Authors: Stephan Timmer, Martin Riedmiller

Random k-Labelsets: An Ensemble Method for Multilabel Classification
   Authors: Grigorios Tsoumakas, Ioannis Vlahavas

Seeing the Forest through the Trees: Learning a Comprehensible Model from an Ensemble
   Authors: Anneleen Van Assche, Hendrik Blockeel

Avoiding Boosting Overfitting by Removing "Confusing Samples"
   Authors: Alexander Vezhnevets, Olga Barinova

Planning and Learning in Environments with Delayed Feedback
   Authors: Thomas J. Walsh, Ali Nouri, Lihong Li, Michael L. Littman

Analyzing Co-Training Style Algorithms
   Authors: Wei Wang, Zhi-Hua Zhou

Policy Gradient Critics
   Authors: Daan Wierstra, Jürgen Schmidhuber

An Improved Model Selection Heuristic for AUC
   Authors: Shaomin Wu, Peter Flach, Cèsar Ferri

Finding the Right Family: Parent and Child Selection for Averaged One-Dependence Estimators
   Authors: Fei Zheng, Geoff Webb


        ECML Short Papers (Posters)

Stepwise Induction of Multi-Target Model Trees
   Authors: Annalisa Appice, Sašo Džeroski

Comparing Rule Measures for Predictive Associaton Rules
   Authors: Paulo J. Azevedo, Alípio M. Jorge

User Oriented Hierarchical Information Organization and Retrieval
   Authors: Korinna Bade, Marcel Hermkes, Andreas Nürnberger

Learning a Classifier with Very Few Examples: Analogy Based and Knowledge Based Generation of New Examples for Character Recognition
   Authors: Sabri Bayoudh, Harold Mouchère, Laurent Miclet, Eric Anquetil

Weighted Kernel Regression for Predicting Changing Dependencies
   Authors: Steven Busuttil, Yuri Kalnishkan

Counter-Example Generation-Based One-Class Classification
   Authors: András Bánhalmi, András Kocsor, Róbert Busa-Fekete

Test-Cost Sensitive Classification based on Conditioned Loss Functions
   Authors: Mumin Cebe, Cigdem Gunduz-Demir

Probabilistic Models for Action-based Chinese Dependency Parsing
   Authors: Xiangyu Duan, Jun Zhao, Bo Xu

Learning Directed Probabilistic Logical Models: Ordering-search versus Structure-search
   Authors: Daan Fierens, Jan Ramon, Maurice Bruynooghe, Hendrik Blockeel

A Simple Lexicographic Ranker and Probability Estimator
   Authors: Peter Flach, Edson Takashi Matsubara

On Minimizing the Position Error in Label Ranking
   Authors: Eyke Hüllermeier, Johannes Fürnkranz

On Phase Transitions in Learning Sparse Networks
   Authors: Goele Hollanders, Geert Jan Bex, Marc Gyssens, Ronald L. Westra, Karl Tuyls

Semi-supervised Collaborative Text Classification
   Authors: Rong Jin, Ming Wu, Rahul Sukthankar

Learning from Relevant Tasks Only
   Authors: Samuel Kaski, Jaakko Peltonen

An Unsupervised Learning Algorithm for Rank Aggregation
   Authors: Alexandre Klementiev, Dan Roth, Kevin Small

Ensembles of multi-objective decision trees
   Authors: Dragi Kocev, Celine Vens, Jan Struyf, Sašo Džeroski

Kernel-Based Grouping of Histogram Data
   Authors: Tilman Lange, Joachim M. Buhmann

Active Class Selection
   Authors: Rachel Lomasky, Carla E. Brodley, Matthew Aernecke, David Walt, Mark Friedl

Sequence labeling with Reinforcement Learning and Ranking Algorithms
   Authors: Francis Maes, Ludovic Denoyer, Patrick Gallinari

Efficient Pairwise Classification
   Authors: Sang-Hyeun Park, Johannes Fürnkranz

Scale-space based Weak Regressors for Boosting
   Authors: Jin-Hyeong Park, Chandan K. Reddy

K-means with Large and Noisy Constraint Sets
   Authors: Dan Pelleg, Dorit Baras

Towards `Interactive´ Active Learning in Multi-View Feature Sets for Information Extraction
   Authors: Katharina Probst, Rayid Ghani

Principal Component Analysis for Large Scale Problems with Lots of Missing Values
   Authors: Tapani Raiko, Alexander Ilin, Juha Karhunen

Transfer Learning in Reinforcement Learning Problems Through Partial Policy Recycling
   Authors: Jan Ramon, Kurt Driessens, Tom Croonenborghs

Class Noise Mitigation through Instance Weighting
   Authors: Umaa Rebbapragada, Carla E. Brodley

Optimizing Feature Sets for Structured Data
   Authors: Ulrich Rückert, Stefan Kramer

Roulette Sampling for Cost-Sensitive Learning
   Authors: Victor S. Sheng, Charles X. Ling

Modeling Highway Traffic Volumes
   Authors: Tomáš Šingliar, Miloš Hauskrecht

Undercomplete Blind Subspace Deconvolution via Linear Prediction
   Authors: Zoltán Szabó, Barnabás Póczos, András Lőrincz

Learning an Outlier-Robust Kalman Filter
   Authors: Jo-Anne Ting, Evangelos Theodorou, Stefan Schaal

Imitation Learning Using Graphical Models
   Authors: Deepak Verma, Rajesh Rao

Nondeterministic Discretization of Weights Improves Accuracy of Neural Networks
   Authors: Marcin Wojnarski

Semi-Definite Manifold Alignment
   Authors: Liang Xiong, Fei Wang, Changshui Zhang

General Solution for Supervised Graph Embedding
   Authors: Qubo You, Nanning Zheng, Shaoyi Du, Yang Wu

Multi-objective Genetic Programming for Multiple Instance Learning
   Authors: Amelia Zafra, Sebastián Ventura

Exploiting Predicate, Term, and Feature Taxonomies in Propositionalization
   Authors: Monika Žáková, Filip Železný


        PKDD Regular Papers

Experiment Databases: Towards an Improved Experimental Methodology in Machine Learning
   Authors: Hendrik Blockeel, Joaquin Vanschoren

Using the Web to Reduce Data Sparseness in Pattern-based Information Extraction
   Authors: Sebastian Blohm, Philipp Cimiano

A Graphical Model for Content Based Image Suggestion and Feature Selection
   Authors: Sabri Boutemedjet, Djemel Ziou, Nizar Bouguila

Efficient AUC Optimization for Classification
   Authors: Toon Calders, Szymon Jaroszewicz

Finding Transport Proteins in a General Protein Database
   Authors: Sanmay Das, Milton H. Saier, Charles Elkan

Classification of Web Documents Using a Graph-Based Model and Structural Patterns
   Authors: Andrzej Dominik, Zbigniew Walczak, Jacek Wojciechowski

Context-specific Independence Mixture Modelling for Protein Families
   Authors: Benjamin Georgi, Jörg Schultz, Alexander Schliep

An Algorithm to Find Overlapping Community Structure in Networks
   Authors: Steve Gregory

Privacy Preserving Market Basket Data Analysis
   Authors: Ling Guo, Songtao Guo, Xintao Wu

Feature Extraction from Sensor Data Streams for Real-Time Human Behaviour Recognition
   Authors: Julia Hunter, Martin Colley

Generating Social Network Features for Link-based Classification
   Authors: Jun Karamon, Yutaka Matsuo, Hikaru Yamamoto, Mitsuru Ishizuka

An Empirical Comparison of Exact Nearest Neighbour Algorithms
   Authors: Ashraf Kibriya, Eibe Frank

Site-Independent Template-Block Detection
   Authors: Aleksander Kolcz, Wen-tau Yih

Statistical Model for Rough Set Approach to Multicriteria Classification
   Authors: Wojciech Kotłowski, Krzysztof Dembczyński, Salvatore Greco, Roman Słowiński

Classification of anti-learnable biological and synthetic data
   Authors: Adam Kowalczyk

Improved Algorithms for Univariate Discretization of Continuous Features
   Authors: Jussi Kujala, Tapio Elomaa

Efficient Weight Learning for Markov Logic Networks
   Authors: Daniel Lowd, Pedro Domingos

Classification in Very High Dimensional Problems with Handfuls of Examples
   Authors: Mark M. Palatucci, Tom M. Mitchell

Domain Adaptation of Conditional Probability Models via Feature Subsetting
   Authors: Sandeepkumar Satpal, Sunita Sarawagi

Learning to Detect Adverse Traffic Events from Noisily Labeled Data
   Authors: Tomáš Šingliar, Miloš Hauskrecht

IKNN: Informative K-Nearest Neighbor Pattern Classification
   Authors: Yang Song, Jian Huang, Ding Zhou, Hongyuan Zha, C. Lee Giles

Finding Outlying Items in Sets of Partial Rankings
   Authors: Antti Ukkonen, Heikki Mannila

Speeding up Feature Subset Selection through Mutual Information Relevance Filtering
   Authors: Gert Van Dijck, Marc M. Van Hulle

A Comparison of Two Approaches to Classify with Guaranteed Performance
   Authors: Stijn Vanderlooy, Ida G. Sprinkhuizen-Kuyper

Towards data mining without information on knowledge structure
   Authors: Alexandre Vautier, Marie-Odile Cordier, René Quiniou

Relaxation Labeling for Selecting and Exploiting Efficiently Non-Local Dependencies in Sequence Labeling
   Authors: Guillaume Wisniewski, Patrick Gallinari

Bridged Refinement for Transfer Learning
   Authors: Dikan Xing, Wenyuan Dai, Gui-Rong Xue, Yong Yu

A Prediction-based Visual Approach for Cluster Exploration and Cluster Validation by HOV3
   Authors: Ke-Bing Zhang, Mehmet A. Orgun, Kang Zhang


        PKDD Short Papers (Posters)

Flexible Grid-Based Clustering
   Authors: Marc-Ismaël Akodjènou-Jeannin, Kavé Salamatian, Patrick Gallinari

Polyp Detection in Endoscopic Video using SVMs
   Authors: Luís A. Alexandre, João Casteleiro, Nuno Nobre

A Density-Biased Sampling Technique to Improve Cluster Representativeness
   Authors: Ana Paula Appel, Adriano Arantes Paterlini, Elaine P. M. de Sousa,
               Agma J. M. Traina, Caetano Traina Jr.

Expectation Propagation for Rating Players in Sports Competitions
   Authors: Adriana Birlutiu, Tom Heskes

Efficient Closed Pattern Mining in Strongly Accessible Set Systems
   Authors: Mario Boley, Tamas Horvath, Axel Poigne, Stefan Wrobel

Discovering Emerging Patterns in Spatial Databases: a Multi-Relational Approach
   Authors: Michelangelo Ceci, Annalisa Appice, Donato Malerba

Realistic Synthetic Data for Testing Association Rule Mining Algorithms for Market Basket Databases
   Authors: Colin Cooper, Michele Zito

Learning Multi-Dimensional Functions: Gas Turbine Engine Modeling
   Authors: Chris Drummond

Constructing High Dimensional Feature Space for Time Series Classification
   Authors: Victor Eruhimov, Vladimir Martyanov, Eugene Tuv

A Dynamic Clustering Algorithm for Mobile Objects
   Authors: Dominique Fournier, Gaële Simon, Bruno Mermet

A Method for Multi-Relational Classification Using Single and Multi-Feature Aggregation Functions
   Authors: Richard Frank, Flavia Moser, Martin Ester

MINI: Mining Informative Non-redundant Itemsets
   Authors: Arianna Gallo, Tijl De Bie, Nello Cristianini

Stream-Based Electricity Load Forecast
   Authors: João Gama, Pedro Pereira Rodrigues

Automatic Hidden Web Database Classification
   Authors: Zhiguo Gong, Jingbai Zhang, Qian Liu

Pruning Relations for Substructure Discovery of Multi-relational Databases
   Authors: Hongyu Guo, Herna L. Viktor, Eric Paquet

The Most Reliable Subgraph Problem
   Authors: Petteri Hintsanen

Matching Partitions over Time to Reliably Capture Local Clusters in Noisy Domains
   Authors: Frank Höppner, Mirko Böttcher

Searching for Better Randomized Response Schemes for Privacy-Preserving Data Mining
   Authors: Zhengli Huang, Wenliang Du, Zhouxuan Teng

Pre-processing Large Spatial Data Sets with Bayesian Methods
   Authors: Saara Hyvönen, Esa Junttila, Marko Salmenkivi

Tag Recommendations in Folksonomies
   Authors: Robert Jäschke, Leandro Marinho, Andreas Hotho, Lars Schmidt-Thieme, Gerd Stumme

Providing Naive Bayesian Classifier-based Private Recommendations on Partitioned Data
   Authors: Cihan Kaleli, Huseyin Polat

Multi-Party, Privacy-Preserving Distributed Data Mining using a Game Theoretic Framework
   Authors: Hillol Kargupta, Kamalika Das, Kun Liu

Multilevel Conditional Fuzzy C-Means Clustering of XML Documents
   Authors: Michal Kozielski

Uncovering Fraud in Direct Marketing Data with a Fraud Auditing Case Builder
   Authors: Fletcher Lu

Real Time GPU-based Fuzzy ART Skin Recognition
   Authors: Mario Martínez-Zarzuela, Francisco Javier Díaz Pernas, David González Ortega,
               José Fernando Díez Higuera, Míriam Antón Rodríguez

A Cooperative Game Theoretic Approach to Prototype Selection
   Authors: Rama Suri Narayanam, Srinivas Santosh V., Narasimha Murty M.

Dynamic Bayesian Networks for Real-time Classification of Seismic Signals
   Authors: Carsten Riggelsen, Matthias Ohrnberger, Frank Scherbaum

Robust Visual Mining of Data with Error Information
   Authors: Jianyong Sun, Ata Kaban, Somak Raychaudhury

An Effective Approach to Enhance Centroid Classifier for Text Categorization
   Authors: Songbo Tan, Xueqi Cheng

Automatic Categorization of Human-coded and Evolved CoreWar Warriors
   Authors: Nenad Tomašev, Doni Pracner, Miloš Radovanović, Mirjana Ivanović

Utility-based Regression
   Authors: Luis Torgo, Rita Ribeiro

Multi-Label Lazy Associative Classification
   Authors: Adriano Alonso Veloso, Wagner Meira Jr., Marcos Andre Gonçalves,
               Mohammed Javeed Zaki

Visual Exploration of Genomic Data
   Authors: Michail Vlachos, Bahar Taneri, Eamonn Keogh, Philip S Yu

Association Mining in Large Databases: A Re-Examination of Its Measures
   Authors: Tianyi Wu, Yuguo Chen, Jiawei Han

Semantic Text Classification of Emergent Disease Reports
   Authors: Yi Zhang, Bing Liu