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
Embedded Machine Learning: Using Support Vector Machines in Wireless Sensor Netw...
Oct 10, 2008
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Knowledge Discovery from Evolving Data
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Data Mining for Anomaly Detection
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The Regularization Frontier in Machine Learning
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Opening and Awards
Ecml/Pkdd 2008 Opening and Awards Ceremony
Oct 10, 2008
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Invited Talks
Data Clustering: 50 Years Beyond K-means
Oct 10, 2008
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Learning language from its perceptual context
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Industrial data mining, Challenges and perspectives
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The role of hierarchies in exploratory data mining
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From Microscopy Images to Models of Cellular Processes
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Support Vector Machines
Improving Classification with Pairwise Constraints: A Margin-based Approach
Oct 10, 2008
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Exact and Approximate Inference for Annotating Graphs with Structural SVMs
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A Fast Method for Training Linear SVM in the Primal
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Cascade RSVM in Peer-to-Peer Networks
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Sequence Labelling SVMs Trained in One Pass
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Matrix Factorization
The Boolean Column and Column-Row Matrix Decompositions
Oct 10, 2008
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A Unified View of Matrix Factorization Models
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Improving Maximum Margin Matrix Factorization
Oct 10, 2008
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Learning Bidirectional Similarity for Collaborative Filtering
Oct 10, 2008
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Discovery
Mining Edge-Weighted Call Graphs to Localise Software Bugs
Oct 10, 2008
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Exceptional Model Mining
Oct 10, 2008
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Tight Optimistic Estimates for Fast Subgroup Discovery
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Multiple Manifold Learning Framework based on Hierarchical Mixture Density Model
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Industrial Session
Fraud Risk Management in Practice
Oct 10, 2008
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Industrial Session 2
Semantic Unification in a Real-World Data Flow for Delivering Business Intelli...
Oct 10, 2008
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Classification 2
Learning Decision Trees for Unbalanced Data
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One-class Classification by Combining Density and Class Probability Estimation
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Ranking the Uniformity of Interval Pairs
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Learning and Mining Text and NLP
A Genetic Algorithm for Text Classification Rule Induction
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A Joint Topic and Perspective Model for Ideological Discourse
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Towards Machine Learning of Grammars and Compilers of Programming Languages
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A Joint Segmenting and Labeling Approach for Chinese Lexical Analysis
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Bootstrapping Information Extraction from Semi-structured Web Pages
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Clustering 2
Large-Scale Clustering through Functional Embedding
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Mixed Bregman Clustering with Approximation Guarantees
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Clustering Distributed Sensor Data Streams
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Data Streaming with Affinity Propagation
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Multi Relational
Parameter Learning in Probabilistic Databases: A Least Squares Approach
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A Simple Model for Sequences of Relational State Descriptions
Oct 10, 2008
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Extracting Semantic Networks from Text via Relational Clustering
Oct 10, 2008
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