ECML PKDD´08 - Antwerp

European Conference on Machine Learning (ECML) and Principles and Practice of Knowledge Discovery in Databases (PKDD)

The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD) will be located in Antwerp, Belgium, from September 15th to 19th, 2008. This event builds upon a very successful series of 18 ECML and 11 PKDD conferences, which have been jointly organized for the past seven years. It has become the major European scientific event in these fields and in 2008 it will comprise presentations of contributed papers and invited speakers, a wide program of workshops and tutorials, a discovery challenge, a demo track and an industrial track.


Tutorials
339 views, 1:52:58 Embedded Machine Learning: Using Support Vector Machines in Wireless Sensor Networks using TinyOS and Lego Mindstorms NXTEmbedded Machine Learning: Using Support Vector Machines in Wireless Sensor ... Rasmus Pedersen Rasmus Pedersen	134 views, 2:54:40 Knowledge Discovery from Evolving DataKnowledge Discovery from Evolving Data Myra Spiliopoulou, Frank Hoppner, Mirko Böttcher Myra Spiliopoulou, Frank Hoppner, Mirko Böttcher 1 comment	[syn] 1207 views, 2:23:20 Data Mining for Anomaly DetectionData Mining for Anomaly Detection Arindam Banerjee, Aleksandar Lazarevic, et al. Arindam Banerjee, Aleksandar Lazarevic, Jaideep Srivastava, Vipin Kumar, Varun Chandola 2 comments	[syn] 252 views, 1:19:20 The Regularization Frontier in Machine LearningThe Regularization Frontier in Machine Learning Gilles Gasso Gilles Gasso
Opening and Awards
38 views, 28:58 Ecml/Pkdd 2008 Opening and Awards CeremonyEcml/Pkdd 2008 Opening and Awards Ceremony
Invited Talks
931 views, 42:42 Invited talk Data Clustering: 50 Years Beyond K-meansData Clustering: 50 Years Beyond K-means Anil K. Jain Anil K. Jain 5 comments	[syn] 111 views, 54:12 Invited talk Learning language from its perceptual contextLearning language from its perceptual context Raymond J. Mooney Raymond J. Mooney	[syn] 219 views, 56:47 Invited talk Industrial data mining, Challenges and perspectivesIndustrial data mining, Challenges and perspectives Françoise Fogelman Soulié Françoise Fogelman Soulié	[syn] 113 views, 49:05 Invited talk The role of hierarchies in exploratory data miningThe role of hierarchies in exploratory data mining Raghu Ramakrishnan Raghu Ramakrishnan
Support Vector Machines
65 views, 12:49 Improving Classification with Pairwise Constraints: A Margin-based ApproachImproving Classification with Pairwise Constraints: A Margin-based Approach Rich Caruana, Nam Nguyen Rich Caruana, Nam Nguyen	66 views, 12:51 Exact and Approximate Inference for Annotating Graphs with Structural SVMsExact and Approximate Inference for Annotating Graphs with Structural SVMs Ulf Brefeld, Tobias Scheffer, Thoralf Klein Ulf Brefeld, Tobias Scheffer, Thoralf Klein	124 views, 18:31 A Fast Method for Training Linear SVM in the PrimalA Fast Method for Training Linear SVM in the Primal Thierry Artieres, Trinh Minh Tri Do Thierry Artieres, Trinh Minh Tri Do	75 views, 17:33 Cascade RSVM in Peer-to-Peer NetworksCascade RSVM in Peer-to-Peer Networks Vivekanand Gopalkrishnan, Hock Hee Ang, et al. Vivekanand Gopalkrishnan, Hock Hee Ang, Steven C. H. Hoi, Wee Keong Ng	78 views, 15:15 Sequence Labelling SVMs Trained in One PassSequence Labelling SVMs Trained in One Pass Léon Bottou, Antoine Bordes, Nicolas Usunier Léon Bottou, Antoine Bordes, Nicolas Usunier
Matrix Factorization
[syn] 91 views, 18:48 The Boolean Column and Column-Row Matrix DecompositionsThe Boolean Column and Column-Row Matrix Decompositions Pauli Miettinen Pauli Miettinen	166 views, 21:44 A Unified View of Matrix Factorization ModelsA Unified View of Matrix Factorization Models Ajit Singh, Geoffrey J. Gordon Ajit Singh, Geoffrey J. Gordon	137 views, 16:37 Improving Maximum Margin Matrix FactorizationImproving Maximum Margin Matrix Factorization Alexander J. Smola, Alexandros Karatzoglou, Markus Weimer Alexander J. Smola, Alexandros Karatzoglou, Markus Weimer	112 views, 15:45 Learning Bidirectional Similarity for Collaborative FilteringLearning Bidirectional Similarity for Collaborative Filtering Qiang Yang, Bin Cao, et al. Qiang Yang, Bin Cao, Jian Tao Sun, Jianmin Wu, Zheng Chen
Discovery
[syn] 77 views, 18:35 Mining Edge-Weighted Call Graphs to Localise Software BugsMining Edge-Weighted Call Graphs to Localise Software Bugs Frank Eichinger, Klemens Böhm, Matthias Huber Frank Eichinger, Klemens Böhm, Matthias Huber	23 views, 20:19 Exceptional Model MiningExceptional Model Mining Ad Feelders, Arno Knobbe, Dennis Leman Ad Feelders, Arno Knobbe, Dennis Leman	34 views, 17:49 Tight Optimistic Estimates for Fast Subgroup DiscoveryTight Optimistic Estimates for Fast Subgroup Discovery Henrik Grosskreutz, Stefan Rüping, Stefan Wrobel Henrik Grosskreutz, Stefan Rüping, Stefan Wrobel	142 views, 17:54 Multiple Manifold Learning Framework based on Hierarchical Mixture Density ModelMultiple Manifold Learning Framework based on Hierarchical Mixture Density Model Xiaoxia Wang, Peter Tino, Mark A. Fardal Xiaoxia Wang, Peter Tino, Mark A. Fardal
Industrial Session
117 views, 31:36 Fraud Risk Management in PracticeFraud Risk Management in Practice Serge Waterschool Serge Waterschool	43 views, 31:07 Semantic Unification in a Real-World Data Flow for Delivering Business IntelligenceSemantic Unification in a Real-World Data Flow for Delivering Business ... Bart Naudts Bart Naudts
Classification 2
281 views, 20:13 Learning Decision Trees for Unbalanced DataLearning Decision Trees for Unbalanced Data Nitesh Chawla, David A. Cieslak Nitesh Chawla, David A. Cieslak	244 views, 16:54 One-class Classification by Combining Density and Class Probability EstimationOne-class Classification by Combining Density and Class Probability Estimation Kathryn Hempstalk, Eibe Frank, Ian H. Witten Kathryn Hempstalk, Eibe Frank, Ian H. Witten 1 comment	17 views, 18:48 Ranking the Uniformity of Interval PairsRanking the Uniformity of Interval Pairs Jusi Kujala, Tapio Elomaa Jusi Kujala, Tapio Elomaa
Learning and Mining Text and NLP
[syn] 599 views, 12:07 A Genetic Algorithm for Text Classification Rule InductionA Genetic Algorithm for Text Classification Rule Induction Adriana Pietramala, Veronica L. Policicchio, et al. Adriana Pietramala, Veronica L. Policicchio, Pasquale Rullo, Inderbir Sidhu	[syn] 50 views, 22:01 A Joint Topic and Perspective Model for Ideological DiscourseA Joint Topic and Perspective Model for Ideological Discourse Eric P. Xing, Wei-Hao Lin, Alexander Hauptmann Eric P. Xing, Wei-Hao Lin, Alexander Hauptmann	[syn] 109 views, 15:57 Towards Machine Learning of Grammars and Compilers of Programming LanguagesTowards Machine Learning of Grammars and Compilers of Programming Languages Katsuhiko Nakamura, Keita Imada Katsuhiko Nakamura, Keita Imada	[syn] 70 views, 14:08 A Joint Segmenting and Labeling Approach for Chinese Lexical AnalysisA Joint Segmenting and Labeling Approach for Chinese Lexical Analysis Xinhao Wang, Jiazhong Nie, et al. Xinhao Wang, Jiazhong Nie, Dingsheng Luo, Xihong Wu	[syn] 159 views, 19:32 Bootstrapping Information Extraction from Semi-structured Web PagesBootstrapping Information Extraction from Semi-structured Web Pages Andrew Carlson, Charles Schafer Andrew Carlson, Charles Schafer
Clustering 2
[syn] 49 views, 17:58 Large-Scale Clustering through Functional EmbeddingLarge-Scale Clustering through Functional Embedding Jason Weston, Frederic Ratle, Mathew L. Miller Jason Weston, Frederic Ratle, Mathew L. Miller	[syn] 69 views, 17:58 Mixed Bregman Clustering with Approximation GuaranteesMixed Bregman Clustering with Approximation Guarantees Jyrki Kivinen, Richard Knock, Panu Luosto Jyrki Kivinen, Richard Knock, Panu Luosto	[syn] 124 views, 20:15 Clustering Distributed Sensor Data StreamsClustering Distributed Sensor Data Streams Joao Gama, Pedro Pereira Rodrigues, Luis Lopes Joao Gama, Pedro Pereira Rodrigues, Luis Lopes	[syn] 267 views, 16:01 Data Streaming with Affinity PropagationData Streaming with Affinity Propagation Michèle Sebag, Xiangliang Zhang, Cyril Furtlehner Michèle Sebag, Xiangliang Zhang, Cyril Furtlehner
Multi Relational
[syn] 82 views, 16:07 Parameter Learning in Probabilistic Databases: A Least Squares ApproachParameter Learning in Probabilistic Databases: A Least Squares Approach Luc De Raedt, Angelika Kimmig, et al. Luc De Raedt, Angelika Kimmig, Bernd Gutmann, Kristian Kersting	[syn] 68 views, 16:30 A Simple Model for Sequences of Relational State DescriptionsA Simple Model for Sequences of Relational State Descriptions Niels Landwehr, Luc De Raedt, Ingo Thon Niels Landwehr, Luc De Raedt, Ingo Thon	177 views, 18:20 Extracting Semantic Networks from Text via Relational ClusteringExtracting Semantic Networks from Text via Relational Clustering Pedro Domingos, Stanley Kok Pedro Domingos, Stanley Kok

Reviews and comments:

1 Sonal Gupta, October 15, 2008 at 8:12 p.m.:

I hope you could have recorded all the talks rather than some sessions.

2 Katharina Morik, October 30, 2008 at 3 p.m.:

A big thank for the videos goes to to Josef Stefan Institute! However, everything which is good can become better...

The videos should show the transparencies! Sometimes, the speaker is just referring to the slide, where all the interesting information is located -- and in the video you don't see it!
Particularly in Bart's introduction, all the figures about participation etc. are on the slides, which are not shown.
But also in scientific talks, this happens quite often.

The invited talk of Yoav Freund was not recorded. However, he himself has contributed his lecture in the form of the slides and his voice. This very exciting talk should be included in the collection!

Katharina

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ECML PKDD´08 - Antwerp

European Conference on Machine Learning (ECML) and Principles and Practice of Knowledge Discovery in Databases (PKDD)

Tutorials

Opening and Awards

Invited Talks

Support Vector Machines

Matrix Factorization

Discovery

Industrial Session

Classification 2

Learning and Mining Text and NLP

Clustering 2

Multi Relational

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