We propose a new model of human concept learning that provides a rational analysis for learning of feature-based concepts. This model is built upon Bayesian inference for a gramma...
Noah D. Goodman, Joshua B. Tenenbaum, Jacob Feldma...
Traditional approaches to teaching computer science are often unsuccessful in attracting girls into the discipline. Our hypothesis is that presenting computer programming as a mea...
This paper explores the hypothesis that pointing gesture recognition can be learned using a reward based system. An experiment with two four-legged robots is presented. One of the...
This paper addresses the problem of improving the representation space in a rule-based intelligent system, through exception-based learning. Such a system generally learns rules c...
Cristina Boicu, Gheorghe Tecuci, Mihai Boicu, Dori...
Inspired with Version Space learning, the Iterated Version Space Algorithm (IVSA) has been designed and implemented to learn disjunctive concepts. IVSA dynamically partitions its s...