512 search results - page 4 / 103 » The Lifted Newton Method and Its Application in Optimization |
EOR
2008
13 years 8 months ago
2008
The 0-1 Multidimensional Knapsack Problem (0-1 MKP) is a wellknown (and strongly NP-hard) combinatorial optimization problem with many applications. Up to now, the majority of upp...
BMCBI
2006
13 years 8 months ago
2006
Background: Particle Swarm Optimization (PSO) is an established method for parameter optimization. It represents a population-based adaptive optimization technique that is influen...
ICASSP
2011
IEEE
13 years 15 days 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...
CVPR
2006
IEEE
14 years 10 months ago
2006
IEEE
This paper introduces a novel kernel-based method for template tracking in video sequences. The method is derived for a general warping transformation, and its application to affi...
NIPS
2007
13 years 10 months ago
2007
We present a general boosting method extending functional gradient boosting to optimize complex loss functions that are encountered in many machine learning problems. Our approach...