MLG - 2008: 6th International Workshop on Mining and Learning with Graphs

Poster Spotlights

chairman:Hannes Heikinheimo, Helsinki University of Technology
published: Aug. 25, 2008, recorded: July 2008, views: 36

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Slides

Slides
0:00	CPT-L*
1:05	Come to Our Poster
1:24	A Graph-Theoretic Approach for Reducing One-versus-One Multi-Class Classification to Ranking - 1
2:21	A Graph-Theoretic Approach for Reducing One-versus-One Multi-Class Classification to Ranking - 2
2:41	EKOSS: Expert Knowledge Ontology-based Semantic Search
2:51	The Problem: The State of Knowledge Sharing in Science - 1
3:07	The Problem: The State of Knowledge Sharing in Science - 2
4:25	Prediction of Molecular Substructures from Mass Spectrograms using Constraint Based Clustering - 1
4:47	Prediction of Molecular Substructures from Mass Spectrograms using Constraint Based Clustering - 2
5:13	Prediction of Molecular Substructures from Mass Spectrograms using Constraint Based Clustering - 3
5:58	Randomization Techniques for Statistical Significance Testing on Graphs
7:38	Can just 49 Numbers Characterize a Graph?
8:01	The Skew Spectrum of Graphs
8:41	Protein Function Prediction
9:37	The Story
9:56	Main Concepts
10:42	Main Concepts
11:13	SoP Measure
11:54	Example
12:31	Training Non-Linear Structured Prediction Models with Stochastic Gradient Descent
12:44	Predicting Combinatorial Structures
13:14	Contributions

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