Sciweavers

185 search results - page 16 / 37
» Learning with Few Examples by Transferring Feature Relevance
Sort
View
79
Voted
ICML
2010
IEEE
14 years 10 months ago
Causal filter selection in microarray data
The importance of bringing causality into play when designing feature selection methods is more and more acknowledged in the machine learning community. This paper proposes a filt...
Gianluca Bontempi, Patrick Emmanuel Meyer
SLSFS
2005
Springer
15 years 3 months ago
Generalization Bounds for Subspace Selection and Hyperbolic PCA
We present a method which uses example pairs of equal or unequal class labels to select a subspace with near optimal metric properties in a kernel-induced Hilbert space. A represen...
Andreas Maurer
TKDE
2008
195views more  TKDE 2008»
14 years 9 months ago
Learning a Maximum Margin Subspace for Image Retrieval
One of the fundamental problems in Content-Based Image Retrieval (CBIR) has been the gap between low-level visual features and high-level semantic concepts. To narrow down this gap...
Xiaofei He, Deng Cai, Jiawei Han
AI
1998
Springer
15 years 1 months ago
ELEM2: A Learning System for More Accurate Classifications
We present ELEM2, a new method for inducing classification rules from a set of examples. The method employs several new strategies in the induction and classification processes to ...
Aijun An, Nick Cercone
BIBM
2007
IEEE
104views Bioinformatics» more  BIBM 2007»
15 years 1 months ago
A Protocol to Detect Local Affinities Involved in Proteins Distant Interactions
The tridimensional structure of a protein is constrained or stabilized by some local interactions between distant residues of the protein, such as disulfide bonds, electrostatic i...
Christophe Nicolas Magnan, Cécile Capponi, ...