1875 search results - page 42 / 375 » Kernel Methods for Pattern Analysis |
ASPDAC
2006
ACM
14 years 4 months ago
2006
ACM
— An effectively designed and efficiently used memory hierarchy, composed of scratch-pads or cache, is seen today as the key to obtaining energy and performance gains in data-do...
JCP
2008
13 years 10 months ago
2008
kernel canonical correlation analysis (KCCA) is a recently addressed supervised machine learning methods, which shows to be a powerful approach of extracting nonlinear features for...
SDM
2011
SIAM
13 years 1 months ago
2011
SIAM
Extracting semantic relations between entities is an important step towards automatic text understanding. In this paper, we propose a novel Semi-supervised Convolution Graph Kerne...
MCS
2000
Springer
14 years 2 months ago
2000
Springer
The use of multiple features by a classifier often leads to a reduced probability of error, but the design of an optimal Bayesian classifier for multiple features is dependent on t...
INFORMATICALT
2010
13 years 8 months ago
2010
The genetic information in cells is stored in DNA sequences, represented by a string of four letters, each corresponding to a definite type of nucleotides. Genomic DNA sequences a...