Abstract. We describe a new approach for learning to perform classbased segmentation using only unsegmented training examples. As in previous methods, we first use training images ...
We describe a substructural logic with ordered, linear, and persistent propositions and then endow a fragment with a committed choice forward-chaining operational interpretation. ...
Abstract. We introduce a just-in-time specializer for Prolog. Just-intime specialization attempts to unify of the concepts and benefits of partial evaluation (PE) and just-in-time...
Abstract. We develop a probabilistic interpretation of non-linear component extraction in neural networks that activate their hidden units according to a softmaxlike mechanism. On ...
Abstract. This paper proposes a diagnosis algorithm for locating a certain kind of errors in logic programs: variable binding errors that result act symptoms during compile-time ch...