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» A Failure to Learn from the Past
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COLT
2001
Springer
13 years 10 months ago
Tracking a Small Set of Experts by Mixing Past Posteriors
In this paper, we examine on-line learning problems in which the target concept is allowed to change over time. In each trial a master algorithm receives predictions from a large ...
Olivier Bousquet, Manfred K. Warmuth
ICCBR
2009
Springer
14 years 10 days ago
Using Meta-reasoning to Improve the Performance of Case-Based Planning
Case-based planning (CBP) systems are based on the idea of reusing past successful plans for solving new problems. Previous research has shown the ability of meta-reasoning approac...
Manish Mehta, Santiago Ontañón, Ashw...
GECCO
2007
Springer
164views Optimization» more  GECCO 2007»
13 years 12 months ago
Learning building block structure from crossover failure
In the classical binary genetic algorithm, although crossover within a building block (BB) does not always cause a decrease in fitness, any decrease in fitness results from the ...
Zhenhua Li, Erik D. Goodman
ICMLA
2007
13 years 7 months ago
Learning complex problem solving expertise from failures
Our research addresses the issue of developing knowledge-based agents that capture and use the problem solving knowledge of subject matter experts from diverse application domains...
Cristina Boicu, Gheorghe Tecuci, Mihai Boicu
HICSS
1994
IEEE
105views Biometrics» more  HICSS 1994»
13 years 10 months ago
Learning from Failure Experiences in Case-Based Schedule Repair
Katia P. Sycara, Kazuo Miyashita