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ML
2002
ACM
127views Machine Learning» more  ML 2002»
14 years 11 months ago
Sparse Regression Ensembles in Infinite and Finite Hypothesis Spaces
We examine methods for constructing regression ensembles based on a linear program (LP). The ensemble regression function consists of linear combinations of base hypotheses generat...
Gunnar Rätsch, Ayhan Demiriz, Kristin P. Benn...
86
Voted
EOR
2006
80views more  EOR 2006»
14 years 11 months ago
Vehicle routing and crew scheduling for metropolitan mail distribution at Australia Post
This paper presents a new multi-depot combined vehicle and crew scheduling algorithm, and uses it, in conjunction with a heuristic vehicle routing algorithm, to solve the intra-ci...
B. L. Hollis, M. A. Forbes, B. E. Douglas
MP
2002
143views more  MP 2002»
14 years 11 months ago
Extending Dantzig's bound to the bounded multiple-class binary Knapsack problem
The bounded multiple-class binary knapsack problem is a variant of the knapsack problem where the items are partitioned into classes and the item weights in each class are a multip...
François Vanderbeck
WWW
2010
ACM
15 years 6 months ago
Entity relation discovery from web tables and links
The World-Wide Web consists not only of a huge number of unstructured texts, but also a vast amount of valuable structured data. Web tables [2] are a typical type of structured in...
Cindy Xide Lin, Bo Zhao, Tim Weninger, Jiawei Han,...
122
Voted
EOR
2007
198views more  EOR 2007»
14 years 11 months ago
Airline crew scheduling from planning to operations
Crew scheduling problems at the planning level are typically solved in two steps: first, creating working patterns, and then assigning these to individual crew. The first step is ...
Claude P. Medard, Nidhi Sawhney