Although a partially observable Markov decision process (POMDP) provides an appealing model for problems of planning under uncertainty, exact algorithms for POMDPs are intractable...
: Researchers in academia and practitioners in the field are concluding that object orientation (OO) supports well the stages of technical design and programming but not the stages...
A frequently encountered problem in decision making is the following review problem: review a large number of objects and select a small number of the best ones. An example is sel...
—A new formulation for multiway spectral clustering is proposed. This method corresponds to a weighted kernel principal component analysis (PCA) approach based on primal-dual lea...
Credit assignment is a fundamental issue for the Learning Classifier Systems literature. We engage in a detailed investigation of credit assignment in one recent system called UC...