—We associate a statistical vector to a trace and a geometrical embedding to a Markov Decision Process, based on a distance on words, and study basic Membership and Equivalence p...
Efficient representations and solutions for large decision problems with continuous and discrete variables are among the most important challenges faced by the designers of automa...
Branislav Kveton, Milos Hauskrecht, Carlos Guestri...
A novel nonlinear discriminant analysis method, Kernelized Decision Boundary Analysis (KDBA), is proposed in our paper, whose Decision Boundary feature vectors are the normal vecto...
Cost-effective engineering and evolution of complex software must involve the different stakeholders concurrently and collaboratively. The hard problem is providing computer suppo...
: Usually spatial planning problems involve a large number of decision makers with different backgrounds and interests. The process of Collaborative Spatial Decision Making (CSDM)...
Nikos I. Karacapilidis, Dimitris Papadias, Max J. ...