1393 search results - page 102 / 279 » Machine Learning by Function Decomposition |
109
Voted
PKDD
2009
Springer
15 years 8 months ago
2009
Springer
A serious drawback of kernel methods, and Support Vector Machines (SVM) in particular, is the difficulty in choosing a suitable kernel function for a given dataset. One of the appr...
BMCBI
2006
15 years 1 months ago
2006
Background: A number of methods that use both protein structural and evolutionary information are available to predict the functional consequences of missense mutations. However, ...
182
click to vote
JMLR
2012
13 years 4 months ago
2012
Models such as pairwise conditional random fields (CRFs) are extremely popular in computer vision and various other machine learning disciplines. However, they have limited expre...
105
Voted
ICML
2006
IEEE
16 years 2 months ago
2006
IEEE
We address the problem of learning a kernel for a given supervised learning task. Our approach consists in searching within the convex hull of a prescribed set of basic kernels fo...
115
click to vote
AIA
2007
15 years 3 months ago
2007
This paper introduces a machine learning approach into the process of direct volume rendering of biomedical highresolution 3D images. More concretely, it proposes a learning pipel...