We propose a probabilistic, generative account of configural learning phenomena in classical conditioning. Configural learning experiments probe how animals discriminate and gener...
Aaron C. Courville, Nathaniel D. Daw, David S. Tou...
Any automated decision support software must tailor its actions or recommendations to the preferences of different users. Thus it requires some representation of user preferences ...
— Timing exceptions in IC implementation processes, especially timing verification, help reduce pessimism that arises from unnecessary timing constraints by masking non-function...
The development of Logic Programming and Defeasible Argumentation lead to Defeasible Logic Programming. Its core resides in the characterization of the warrant procedure. Defeasib...
The nearest- or near-neighbor query problems arise in a large variety of database applications, usually in the context of similarity searching. Of late, there has been increasing ...