Tuesday, September 18

 

16:10-18:30  Plenary session – Auditorium

 

ECML Poster Highlights

Session Chairs: Stan Matwin and Dunja Mladenic

 

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

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

User Oriented Hierarchical Information Organization and Retrieval
   by 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
   by Sabri Bayoudh, Harold Mouchère, Laurent Miclet, Eric Anquetil

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

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

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

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

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

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

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

On Phase Transitions in Learning Sparse Networks
   by Goele Hollanders, Geert Jan Bex, Marc Gyssens, Ronald L. Westra,

        Karl Tuyls

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

Learning from Relevant Tasks Only
   by Samuel Kaski, Jaakko Peltonen

An Unsupervised Learning Algorithm for Rank Aggregation

   by Alexandre Klementiev, Dan Roth, Kevin Small

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

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

Active Class Selection
   by Rachel Lomasky, Carla E. Brodley, Matthew Aernecke, David Walt,

       Mark Friedl

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

Efficient Pairwise Classification
   by Sang-Hyeun Park, Johannes Fürnkranz

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

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

Towards “Interactive” Active Learning in Multi-View Feature Sets for Information Extraction
   by Katharina Probst, Rayid Ghani

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

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

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

Optimizing Feature Sets for Structured Data

   by Ulrich Rückert, Stefan Kramer

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

Modeling Highway Traffic Volumes
   by TomᚠŠingliar, Miloš Hauskrecht

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

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

Imitation Learning Using Graphical Models
   by Deepak Verma, Rajesh Rao

Nondeterministic Discretization of Weights Improves Accuracy of Neural Networks
   by Marcin Wojnarski

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

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

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

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

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

 

19:00-22:00   ECML Poster Reception
                      at the Staszic Palace