European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), Antwerp 2008

European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), Antwerp 2008

40 Lectures · Sep 15, 2008

About

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.

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Uploaded videos:

Tutorials

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01:52:58

Embedded Machine Learning: Using Support Vector Machines in Wireless Sensor Netw...

Rasmus Pedersen

Oct 10, 2008

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7890 Views

Tutorial
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02:54:42

Knowledge Discovery from Evolving Data

Myra Spiliopoulou,

Frank Hoppner,

Mirko Böttcher

Oct 10, 2008

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4420 Views

Tutorial
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02:23:21

Data Mining for Anomaly Detection

Arindam Banerjee,

Aleksandar Lazarevic,

Jaideep Srivastava,

Vipin Kumar,

Varun Chandola

Oct 10, 2008

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31028 Views

Tutorial
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01:19:21

The Regularization Frontier in Machine Learning

Gilles Gasso

Oct 10, 2008

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6077 Views

Tutorial

Opening and Awards

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28:58

Ecml/Pkdd 2008 Opening and Awards Ceremony

Oct 10, 2008

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2842 Views

Opening

Invited Talks

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42:42

Data Clustering: 50 Years Beyond K-means

Anil K. Jain

Oct 10, 2008

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22254 Views

Invited Talk
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54:12

Learning language from its perceptual context

Raymond J. Mooney

Oct 10, 2008

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6729 Views

Invited Talk
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56:47

Industrial data mining, Challenges and perspectives

Françoise Fogelman Soulié

Oct 10, 2008

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5593 Views

Invited Talk
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49:05

The role of hierarchies in exploratory data mining

Raghu Ramakrishnan

Oct 10, 2008

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4227 Views

Invited Talk
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01:17:14

From Microscopy Images to Models of Cellular Processes

Yoav Freund

Mar 29, 2010

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3810 Views

Keynote

Support Vector Machines

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12:49

Improving Classification with Pairwise Constraints: A Margin-based Approach

Rich Caruana,

Nam Nguyen

Oct 10, 2008

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3540 Views

Lecture
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12:51

Exact and Approximate Inference for Annotating Graphs with Structural SVMs

Ulf Brefeld,

Tobias Scheffer,

Thoralf Klein

Oct 10, 2008

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3641 Views

Lecture
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18:31

A Fast Method for Training Linear SVM in the Primal

Thierry Artières,

Trinh Minh Tri Do

Oct 10, 2008

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4519 Views

Lecture
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17:33

Cascade RSVM in Peer-to-Peer Networks

Vivekanand Gopalkrishnan,

Hock Hee Ang,

Steven C. H. Hoi,

Wee Keong Ng

Oct 10, 2008

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3973 Views

Lecture
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15:15

Sequence Labelling SVMs Trained in One Pass

Léon Bottou,

Antoine Bordes,

Nicolas Usunier

Oct 10, 2008

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4425 Views

Lecture

Matrix Factorization

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18:48

The Boolean Column and Column-Row Matrix Decompositions

Pauli Miettinen

Oct 10, 2008

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5146 Views

Lecture
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21:44

A Unified View of Matrix Factorization Models

Ajit Singh,

Geoffrey J. Gordon

Oct 10, 2008

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6816 Views

Lecture
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20:11

Improving Maximum Margin Matrix Factorization

Alex Smola,

Alexandros Karatzoglou,

Markus Weimer

Oct 10, 2008

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6865 Views

Lecture
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15:45

Learning Bidirectional Similarity for Collaborative Filtering

Qiang Yang,

Bin Cao,

Jian Tao Sun,

Jianmin Wu,

Zheng Chen

Oct 10, 2008

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4601 Views

Lecture

Discovery

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18:35

Mining Edge-Weighted Call Graphs to Localise Software Bugs

Frank Eichinger

Oct 10, 2008

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4682 Views

Lecture
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20:19

Exceptional Model Mining

Ad Feelders,

Arno Knobbe,

Dennis Leman

Oct 10, 2008

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3384 Views

Lecture
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17:49

Tight Optimistic Estimates for Fast Subgroup Discovery

Henrik Grosskreutz,

Stefan Rüping,

Stefan Wrobel

Oct 10, 2008

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3683 Views

Lecture
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17:54

Multiple Manifold Learning Framework based on Hierarchical Mixture Density Model

Xiaoxia Wang,

Peter Tino,

Mark A. Fardal

Oct 10, 2008

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6064 Views

Lecture

Industrial Session

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31:36

Fraud Risk Management in Practice

Serge Waterschool

Oct 10, 2008

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5823 Views

Lecture

Industrial Session 2

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31:07

Semantic Unification in a Real-World Data Flow for Delivering Business Intelli...

Bart Naudts

Oct 10, 2008

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2927 Views

Lecture

Classification 2

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20:13

Learning Decision Trees for Unbalanced Data

Nitesh Chawla,

David A. Cieslak

Oct 10, 2008

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8842 Views

Lecture
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16:54

One-class Classification by Combining Density and Class Probability Estimation

Kathryn Hempstalk,

Eibe Frank,

Ian H. Witten

Oct 10, 2008

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5904 Views

Lecture
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18:48

Ranking the Uniformity of Interval Pairs

Jusi Kujala,

Tapio Elomaa

Oct 10, 2008

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3408 Views

Lecture

Learning and Mining Text and NLP

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12:07

A Genetic Algorithm for Text Classification Rule Induction

Adriana Pietramala,

Veronica L. Policicchio,

Pasquale Rullo,

Inderbir Sidhu

Oct 10, 2008

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12207 Views

Lecture
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22:01

A Joint Topic and Perspective Model for Ideological Discourse

Eric P. Xing,

Wei-Hao Lin,

Alexander Hauptmann

Oct 10, 2008

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3422 Views

Lecture
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15:57

Towards Machine Learning of Grammars and Compilers of Programming Languages

Katsuhiko Nakamura,

Keita Imada

Oct 10, 2008

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4405 Views

Lecture
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14:08

A Joint Segmenting and Labeling Approach for Chinese Lexical Analysis

Xinhao Wang,

Jiazhong Nie,

Dingsheng Luo,

Xihong Wu

Oct 10, 2008

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4032 Views

Lecture
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19:32

Bootstrapping Information Extraction from Semi-structured Web Pages

Andrew Carlson,

Charles Schafer

Oct 10, 2008

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6371 Views

Lecture

Clustering 2

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17:58

Large-Scale Clustering through Functional Embedding

Jason Weston,

Frederic Ratle,

Mathew L. Miller

Oct 10, 2008

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3804 Views

Lecture
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17:58

Mixed Bregman Clustering with Approximation Guarantees

Jyrki Kivinen,

Richard Knock,

Panu Luosto

Oct 10, 2008

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3250 Views

Lecture
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20:15

Clustering Distributed Sensor Data Streams

João Gama,

Pedro Pereira Rodrigues,

Luis Lopes

Oct 10, 2008

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5636 Views

Lecture
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16:01

Data Streaming with Affinity Propagation

Michèle Sebag,

Xiangliang Zhang,

Cyril Furtlehner

Oct 10, 2008

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7737 Views

Lecture

Multi Relational

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16:07

Parameter Learning in Probabilistic Databases: A Least Squares Approach

Luc De Raedt,

Angelika Kimmig,

Bernd Gutmann,

Kristian Kersting

Oct 10, 2008

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3874 Views

Lecture
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16:30

A Simple Model for Sequences of Relational State Descriptions

Niels Landwehr,

Luc De Raedt,

Ingo Thon

Oct 10, 2008

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3458 Views

Lecture
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18:20

Extracting Semantic Networks from Text via Relational Clustering

Pedro Domingos,

Stanley Kok

Oct 10, 2008

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7435 Views

Lecture