The problem of selecting the best system from a finite set of alternatives is considered from a Bayesian decision-theoretic perspective. The framework presented is quite general,...
The use of multiple features by a classifier often leads to a reduced probability of error, but the design of an optimal Bayesian classifier for multiple features is dependent on t...
Abstract—In distributed environments, access control decisions depend on statements of multiple agents rather than only one central trusted party. However, existing policy langua...
Planning algorithms have traditionally been geared toward achievement goals in single-agent environments. Such algorithms essentially produce plans to reach one of a specified se...
This paperaddresses the problemof algorithm discovery, via evolutionarysearch, in the context of matrix multiplication. Thetraditional multiplicationalgorithm requiresO(n3) multip...