822 search results - page 76 / 165 » Objective improvement in information-geometric optimization |
BMCBI
2010
14 years 10 months ago
2010
nd: Although methods based on highly abstract descriptions of protein structures, such as VAST and TOPS, can perform very fast protein structure comparison, the results can lack a...
102
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ICASSP
2011
IEEE
14 years 1 months ago
2011
IEEE
Gradient boosting is a flexible machine learning technique that produces accurate predictions by combining many weak learners. In this work, we investigate its use in two applica...
114
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ISSAC
1997
Springer
1997
Springer
The Minimised Geometric Buchberger Algorithm: An Optimal Algebraic Algorithm for Integer Programming
15 years 2 months ago
IP problems characterise combinatorial optimisation problems where conventional numerical methods based on the hill-climbing technique can not be directly applied. Conventional me...
VEE
2006
ACM
15 years 3 months ago
2006
ACM
Many new Java runtime optimizations report relatively small, single-digit performance improvements. On modern virtual and actual hardware, however, the performance impact of an op...
ICML
2008
IEEE
15 years 10 months ago
2008
IEEE
Semi-supervised learning aims at taking advantage of unlabeled data to improve the efficiency of supervised learning procedures. For discriminative models however, this is a chall...