434 search results - page 60 / 87 » Large-Scale Support Vector Learning with Structural Kernels |
CIBCB
2009
IEEE
13 years 9 months ago
2009
IEEE
Machine Learning techniques are successfully applied to establish quantitative relations between chemical structure and biological activity (QSAR), i.e. classify compounds as activ...
JMLR
2008
13 years 8 months ago
2008
We show how a generic feature selection algorithm returning strongly relevant variables can be turned into a causal structure learning algorithm. We prove this under the Faithfuln...
ICCV
2005
IEEE
14 years 10 months ago
2005
IEEE
Recently there has been a lot of interest in geometrically motivated approaches to data analysis in high dimensional spaces. We consider the case where data is drawn from sampling...
NIPS
2003
13 years 10 months ago
2003
In typical classification tasks, we seek a function which assigns a label to a single object. Kernel-based approaches, such as support vector machines (SVMs), which maximize the ...
ICASSP
2011
IEEE
13 years 13 days ago
2011
IEEE
The Support Vector Machine (SVM) methodology is an effective, supervised, machine learning method that gives stateof-the-art performance for brain state classification from funct...