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ANOR
2007
80views more  ANOR 2007»
13 years 8 months ago
The minimum shift design problem
The min-SHIFT DESIGN problem (MSD) is an important scheduling problem that needs to be solved in many industrial contexts. The issue is to find a minimum number of shifts and the...
Luca Di Gaspero, Johannes Gärtner, Guy Kortsa...
ICDE
2012
IEEE
343views Database» more  ICDE 2012»
11 years 11 months ago
Bi-level Locality Sensitive Hashing for k-Nearest Neighbor Computation
We present a new Bi-level LSH algorithm to perform approximate k-nearest neighbor search in high dimensional spaces. Our formulation is based on a two-level scheme. In the first ...
Jia Pan, Dinesh Manocha
ML
2006
ACM
142views Machine Learning» more  ML 2006»
13 years 8 months ago
The max-min hill-climbing Bayesian network structure learning algorithm
We present a new algorithm for Bayesian network structure learning, called Max-Min Hill-Climbing (MMHC). The algorithm combines ideas from local learning, constraint-based, and sea...
Ioannis Tsamardinos, Laura E. Brown, Constantin F....
AAAI
2006
13 years 10 months ago
Local-Search Techniques for Boolean Combinations of Pseudo-Boolean Constraints
Some search problems are most directly specified by boolean combinations of pseudo-boolean constraints. We study a logic PL(PB) whose formulas are of this form, and design local-s...
Lengning Liu, Miroslaw Truszczynski
JSW
2006
76views more  JSW 2006»
13 years 8 months ago
Variable Neighbourhood Search for Job Shop Scheduling Problems
Variable Neighbourhood Search (VNS) is one of the most recent metaheuristics used for problem solving in which a systematic change of neighbourhood within a local search is carried...
Mehmet Sevkli, Mehmet Emin Aydin