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» Mechanizing Inductive Reasoning
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PAKDD
1998
ACM
103views Data Mining» more  PAKDD 1998»
15 years 10 months ago
Discovering Case Knowledge Using Data Mining
The use of Data Mining in removing current bottlenecks within Case-based Reasoning (CBR) systems is investigated along with the possible role of CBR in providing a knowledge manag...
Sarabjot S. Anand, David W. Patterson, John G. Hug...
CAV
2007
Springer
164views Hardware» more  CAV 2007»
15 years 10 months ago
SAT-Based Compositional Verification Using Lazy Learning
Abstract. A recent approach to automated assume-guarantee reasoning (AGR) for concurrent systems relies on computing environment assumptions for components using the L algorithm fo...
Nishant Sinha, Edmund M. Clarke
ICML
1995
IEEE
15 years 10 months ago
Learning with Rare Cases and Small Disjuncts
Systems that learn from examples often create a disjunctive concept definition. Small disjuncts are those disjuncts which cover only a few training examples. The problem with sma...
Gary M. Weiss
WSC
2007
15 years 8 months ago
Agent-based modeling and simulation: desktop ABMS
Agent-based modeling and simulation (ABMS) is a new approach to modeling systems comprised of autonomous, interacting agents. ABMS promises to have far-reaching effects on the way...
Charles M. Macal, Michael J. North
WSC
2008
15 years 8 months ago
Agent-based modeling and simulation: ABMS examples
Agent-based modeling and simulation (ABMS) is a new approach to modeling systems comprised of autonomous, interacting agents. ABMS promises to have far-reaching effects on the way...
Charles M. Macal, Michael J. North