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» Structured Output-Associative Regression
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ICML
2005
IEEE
14 years 8 months ago
Large margin non-linear embedding
It is common in classification methods to first place data in a vector space and then learn decision boundaries. We propose reversing that process: for fixed decision boundaries, ...
Alexander Zien, Joaquin Quiñonero Candela
ISBI
2008
IEEE
14 years 8 months ago
Inferring brain dynamics using granger causality on fMRI data
Here we present a scalable method to compute the structure of causal links over large scale dynamical systems that achieves high efficiency in discovering actual functional connec...
Guillermo A. Cecchi, Rahul Garg, A. Ravishankar Ra...
GBRPR
2007
Springer
13 years 11 months ago
Image Classification Using Marginalized Kernels for Graphs
We propose in this article an image classification technique based on kernel methods and graphs. Our work explores the possibility of applying marginalized kernels to image process...
Emanuel Aldea, Jamal Atif, Isabelle Bloch
CAV
2006
Springer
146views Hardware» more  CAV 2006»
13 years 11 months ago
Termination Analysis with Calling Context Graphs
We introduce calling context graphs and various static and theorem proving based analyses that together provide a powerful method for proving termination of programs written in fea...
Panagiotis Manolios, Daron Vroon
DAGM
2006
Springer
13 years 11 months ago
Model Selection in Kernel Methods Based on a Spectral Analysis of Label Information
Abstract. We propose a novel method for addressing the model selection problem in the context of kernel methods. In contrast to existing methods which rely on hold-out testing or t...
Mikio L. Braun, Tilman Lange, Joachim M. Buhmann