A matrix formulation for an adaptive genetic algorithm is developed using mutation matrix and crossover matrix. Selection, mutation, and crossover are all parameter-free in the se...
We introduce a weakening of standard gametheoretic dominance conditions, called δdominance, which enables more aggressive pruning of candidate strategies at the cost of solution ...
Enforcing arc consistency (AC) during search has proven to be a very effective method in solving Constraint Satisfaction Problems and it has been widely-used in many Constraint Pr...
Chavalit Likitvivatanavong, Yuanlin Zhang, Scott S...
We consider competition between sellers offering similar items in concurrent online auctions through a mediating auction institution, where each seller must set its individual auc...
Enrico H. Gerding, Alex Rogers, Rajdeep K. Dash, N...
Computers have already eclipsed the level of human play in competitive Scrabble, but there remains room for improvement. In particular, there is much to be gained by incorporating...
In the context of the Semantic Web, several approaches to the combination of ontologies, given in terms of theories of classical first-order logic, and rule bases have been propo...
Jos de Bruijn, Thomas Eiter, Axel Polleres, Hans T...
We study the problem of learning large margin halfspaces in various settings using coresets to show that coresets are a widely applicable tool for large margin learning. A large m...
Depth estimation in computer vision and robotics is most commonly done via stereo vision (stereopsis), in which images from two cameras are used to triangulate and estimate distan...
Abduction is an important method of non-monotonic reasoning with many applications in artificial intelligence and related topics. In this paper, we concentrate on propositional ab...
Kernel based nonlinear Feature Extraction (KFE) or dimensionality reduction is a widely used pre-processing step in pattern classification and data mining tasks. Given a positive...