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» Weighted Jackknife-after-Bootstrap: A Heuristic Approach
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JDWM
2007
122views more  JDWM 2007»
13 years 5 months ago
A Hyper-Heuristic for Descriptive Rule Induction
Rule induction from examples is a machine learning technique that finds rules of the form condition → class, where condition and class are logic expressions of the form variable...
Tho Hoan Pham, Tu Bao Ho
JAL
2008
97views more  JAL 2008»
13 years 5 months ago
Experimental studies of variable selection strategies based on constraint weights
An important class of heuristics for constraint satisfaction problems works by sampling information during search in order to inform subsequent decisions. One of these strategies, ...
Richard J. Wallace, Diarmuid Grimes
CIRA
2007
IEEE
128views Robotics» more  CIRA 2007»
13 years 11 months ago
Using Heuristic Search To Find Stable High-Order Single-Bit Delta Sigma Modulators
— A heuristic search for stable high-order delta sigma modulators is presented. Searches guided by the Linear Model found stable modulators with higher SNR performance compared t...
Ståle Andreas Skogstad, Mats Erling Hø...
SIAMJO
2002
142views more  SIAMJO 2002»
13 years 5 months ago
A Complementary Pivoting Approach to the Maximum Weight Clique Problem
Given an undirected graph with positive weights on the vertices, the maximum weight clique problem (MWCP) is to find a subset of mutually adjacent vertices (i.e., a clique) having ...
Alessio Massaro, Marcello Pelillo, Immanuel M. Bom...
FLAIRS
2007
13 years 7 months ago
Learning to Identify Global Bottlenecks in Constraint Satisfaction Search
Using information from failures to guide subsequent search is an important technique for solving combinatorial problems in domains such as boolean satisfiability (SAT) and constr...
Diarmuid Grimes, Richard J. Wallace