4698 search results - page 126 / 940 » Making Functionality More General |
120
Voted
ISCA
2010
IEEE
15 years 8 months ago
2010
IEEE
Aggressive technology scaling into the nanometer regime has led to a host of reliability challenges in the last several years. Unlike onchip caches, which can be efficiently prot...
118
Voted
CSDA
2007
15 years 3 months ago
2007
The problem of choosing a good parameter setting for a better generalization performance in a learning task is the so-called model selection. A nested uniform design (UD) methodol...
118
Voted
COLT
2007
Springer
15 years 9 months ago
2007
Springer
Recently, Balcan and Blum [1] suggested a theory of learning based on general similarity functions, instead of positive semi-definite kernels. We study the gap between the learnin...
129
Voted
DICTA
2003
15 years 4 months ago
2003
Estimation of parameters from image tokens is a central problem in computer vision. FNS, CFNS and HEIV are three recently developed methods for solving special but important cases ...
109
click to vote
KDD
2005
ACM
16 years 3 months ago
2005
ACM
Several authors have suggested viewing boosting as a gradient descent search for a good fit in function space. At each iteration observations are re-weighted using the gradient of...