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» Generating Satisfiable Problem Instances
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ADMA
2006
Springer
110views Data Mining» more  ADMA 2006»
14 years 2 months ago
Learning with Local Drift Detection
Abstract. Most of the work in Machine Learning assume that examples are generated at random according to some stationary probability distribution. In this work we study the problem...
João Gama, Gladys Castillo
EVOW
2010
Springer
14 years 2 months ago
Ant Colony Optimization for Tree Decompositions
Instances of constraint satisfaction problems can be solved efficiently if they are representable as a tree decomposition of small width. Unfortunately, the task of finding a deco...
Thomas Hammerl, Nysret Musliu
KBSE
2002
IEEE
14 years 3 months ago
Generating Test Data for Functions with Pointer Inputs
Generating test inputs for a path in a function with integer and real parameters is an important but difficult problem. The problem becomes more difficult when pointers are pass...
Srinivas Visvanathan, Neelam Gupta
CCO
2001
Springer
157views Combinatorics» more  CCO 2001»
14 years 3 months ago
Lagrangian Relaxation
Lagrangian relaxation is commonly used in combinatorial optimization to generate lower bounds for a minimization problem. We propose a modified Lagrangian relaxation which used i...
Claude Lemaréchal
CONSTRAINTS
2006
115views more  CONSTRAINTS 2006»
13 years 10 months ago
A Cost-Regular Based Hybrid Column Generation Approach
Abstract. Constraint Programming (CP) offers a rich modeling language of constraints embedding efficient algorithms to handle complex and heterogeneous combinatorial problems. To s...
Sophie Demassey, Gilles Pesant, Louis-Martin Rouss...