Full Schedule

Tuesday 16 September

Invited Talk

Tuesday 16 September
09:00 - 10:00
Location: Aula Rector Dhanis

Session chair: Walter Daelemans

09:00

Learning Language from its Perceptual Context
Raymond J. Mooney - University of Texas at Austin, USA
View abstract

Graph Mining

Tuesday 16 September
10:40 - 12:20
Location: R001

Session chair: Siegfried Nijssen

10:40	Finding Reliable Subgraphs from Large Probabilistic Graphs Petteri Hintsanen, Hannu Toivonen View abstract
11:00	Effective Pruning Techniques for Mining Quasi-cliques Guimei Liu, Limsoon Wong View abstract
11:20	Mining Frequent Connected Subgraphs Reducing the Number of Candidates Andrés Gago Alonso, José E. Medina Pagola, J. Ariel Carrasco-Ochoa, J. Fco. Martínez-Trinidad View abstract
11:40	Efficient Frequent Connected Subgraph Mining in Graphs of Bounded Treewidth Tamas Horvath, Jan Ramon View abstract
12:00	SkyGraph: An Algorithm for Important Subgraph Discovery in Relational Graphs Apostolos Papadopoulos, Apostolos Lyritsis, Yannis Manolopoulos View abstract

Support Vector Machines

Tuesday 16 September
10:40 - 12:20
Location: R002

Session chair: Fabio Aiolli

10:40	Improving Classification with Pairwise Constraints: A Margin-based Approach Nam Nguyen, Rich Caruana View abstract
11:00	Exact and Approximate Inference for Annotating Graphs with Structural SVMs Thoralf Klein, Ulf Brefeld, Tobias Scheffer View abstract
11:20	A Fast Method for Training Linear SVM in the Primal Trinh-Minh-Tri Do, Thierry Artieres View abstract
11:40	Cascade RSVM in Peer-to-Peer Networks Hock Hee Ang, Vivekanand Gopalkrishnan, Steven C. H. Hoi, Wee Keong Ng View abstract
12:00	Sequence Labelling SVMs Trained in One Pass Antoine Bordes, Nicolas Usunier, Leon Bottou View abstract

Classification 1

Tuesday 16 September
10:40 - 12:20
Location: R014

Session chair: Stefan Rueping

10:40	Incremental Exemplar Learning Schemes for Classification on Embedded Devices Ankur Jain, Daniel Nikovski View abstract
11:00	Client-Friendly Classification over Random Hyperplane Hashes Shyamsundar Rajaram, Martin Scholz View abstract
11:20	Efficient Pairwise Multilabel Classification for Large-Scale Problems in the Legal Domain Eneldo Loza Mencía, Johannes Fürnkranz View abstract
11:40	Classification of Multi-Labeled Data: A Generative Approach Andreas P. Streich, Joachim M. Buhmann View abstract
12:00	TOPTMH: Topology Predictor for Transmembrane Alpha Helices Rezwan Ahmed, Huzefa Rangwala, George Karypis View abstract

Matrix Factorization

Tuesday 16 September
14:00 - 15:20
Location: R001

Session chair: Jouni Seppanen

14:00	The Boolean Column and Column-Row Matrix Decompositions Pauli Miettinen View abstract
14:20	A Unified View of Matrix Factorization Models Ajit P. Singh, Geoffrey J. Gordon View abstract
14:40	Improving Maximum Margin Matrix Factorization Markus Weimer, Alexandros Karatzoglou, Alex Smola View abstract
15:00	Learning Bidirectional Similarity for Collaborative Filtering Bin Cao, Jian-Tao Sun, Jianmin Wu, Qiang Yang, Zheng Chen View abstract

Bayesian Nets

Tuesday 16 September
14:00 - 15:20
Location: R002

Session chair: Arno Siebes

14:00	Distribution-free Learning of Bayesian Network Structure Xiaohai Sun View abstract
14:20	Continuous Time Bayesian Networks for Host Level Network Intrusion Detection Jing Xu, Christian R. Shelton View abstract
14:40	Credal Model Averaging: an Extension of Bayesian Model Averaging to Imprecise Probabilities Giorgio Corani, Marco Zaffalon View abstract
15:00	New Closed-form Bounds on the Partition Function Krishnamurthy Dvijotham, Soumen Chakrabarti, Subhasis Chaudhuri View abstract

Transfer Learning

Tuesday 16 September
14:00 - 15:20
Location: R014

Session chair: George Forman

14:00	Actively Transfer Domain Knowledge Xiaoxiao Shi, Wei Fan, Jiangtao Ren View abstract
14:20	An Algorithm for Transfer Learning in a Heterogeneous Environment Andreas Argyriou, Andreas Maurer, Massimiliano Pontil View abstract
14:40	Modeling Transfer Relationships Between Learning Tasks for Improved Inductive Transfer Eric Eaton, Marie desJardins, Terran Lane View abstract
15:00	Kernel-Based Inductive Transfer Ulrich Rückert, Stefan Kramer View abstract

Dimensionality Reduction

Tuesday 16 September
16:00 - 17:20
Location: R001

Session chair: Dit-Yan Yeung

16:00	Distortion-Free Nonlinear Dimensionality Reduction Yangqing Jia, Zheng Wang, Changshui Zhang View abstract
16:20	Semi-Supervised Laplacian Regularization of Kernel Canonical Correlation Analysis Matthew B. Blaschko, Christoph H. Lampert, Arthur Gretton View abstract
16:40	Transferred Dimensionality Reduction Zheng Wang, Yangqiu Song, Changshui Zhang View abstract
17:00	Semi-Supervised Discriminant Analysis via CCCP Yu Zhang, Dit-Yan Yeung View abstract

Reinforcement Learning 1

Tuesday 16 September
16:00 - 17:20
Location: R002

Session chair: Ann Nowé

16:00	Rollout Sampling Approximate Policy Iteration Christos Dimitrakakis, Michail G. Lagoudakis View abstract
16:20	Multiagent Reinforcement Learning for Urban Traffic Control using Coordination Graphs Lior Kuyer, Shimon Whiteson, Bram Bakker, Nikos Vlassis View abstract
16:40	Transferring Instances for Model-Based Reinforcement Learning Matthew E. Taylor, Nicholas K. Jong, Peter Stone View abstract
17:00	Online Multiagent Learning against Memory Bounded Adversaries Doran Chakraborty, Peter Stone View abstract

Discovery

Tuesday 16 September
16:00 - 17:20
Location: R014

Session chair: Szymon Jaroszewicz

16:00	Mining Edge-Weighted Call Graphs to Localise Software Bugs Frank Eichinger, Klemens Böhm, Matthias Huber View abstract
16:20	Exceptional Model Mining Dennis Leman, Ad Feelders, Arno Knobbe View abstract
16:40	Tight Optimistic Estimates for Fast Subgroup Discovery Henrik Grosskreutz, Stefan Ruping, Stefan Wrobel View abstract
17:00	Multiple Manifold Learning Framework based on Hierarchical Mixture Density Model Xiaoxia Wang, Peter Tino, Mark A. Fardal View abstract

GREAT08 PASCAL Challenge

Tuesday 16 September
17:20 - 18:00
Location: R001

Poster Reception 1

Tuesday 16 September
19:00 - ?
Location: Stuurboord

ECML PKDD 2008

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