8h30-9h | Registration | |
9h-10h | Bernhard Schoelkopf | Tutorial: introduction to kernel methods (slides in PDF (1.3 Mo) or PS.GZ (650 Ko) |
10h-10h40 | William Noble | Support vector machine evaluation of peptide identification via mass spectrometry (abstract, slides) |
10h40-11h | Break | |
11h-11h40 | Christina Leslie | New String Kernels for Biological Sequence Data (abstract, slides) |
11h40-12h | Yoshihiro Yamanishi | Generalized kernel canonical correlation analysis for multiple genomic data (abstract) |
12h-12h40 | Alex Smola | Fast string kernels (abstract, slides) |
12h40-13h | Flash Presentations | Marco Cuturi: Deriving a string kernel form text compression tools, the context tree weighting algorithm revisited Tor Fla: Discussion of discrimination of protein sequences by datadriven kernels Heyjin Kim: Subtype classification of human breast cancer via kernel methods and pattern analysis of clinical outcome over the feature space Balaji Krishnapuram: Joint classifier and kernel design Hiroto Saigo: Protein homology detection using sequence alignment and support vector machines |
13h-14h30 | Lunch and poster session | |
14h30-15h10 | Vladimir Vapnik | What is important in empirical inference |
15h10-15h50 | Chris Watkins | Optimal Encoding of Genomic Information (abstract, slides) |
15h50-16h10 | Josef Hochreiter | Gene selection on micro array data through support vector machines |
16h10-16h30 | Break | |
16h30-17h10 | Yann Guermeur | A hybrid kernel machine for protein secondary structure prediction (abstract, slides) |
17h10-17h30 | Koji Tsuda | Marginalized kernels between labeled graphs (abstract) |
17h30-18h10 | Risi Kondor | Diffusion and other kernels on graphs (abstract, slides) |
18h10-18h30 | Gert Lanckriet | Fusing Heterogeneous Data Sources in Bioinformatics: A Combination of Kernels for Membrane Protein Identification in Yeast (abstract) |