Two of the most commonly used models in computational learning theory are the distribution-free model in which examples are chosen from a fixed but arbitrary distribution, and the ...
Abstract. Kanazawa has shown that several non-trivial classes of categorial grammars are learnable in Gold’s model. We propose in this article to adapt this kind of symbolic lear...
— Delay tolerant networks (DTNs) are a class of networks that experience frequent and long-duration partitions due to sparse distribution of nodes. The topological impairments ex...
Knowledge is of general utility and should be captured thinking in reuse. A key idea underlining knowledge capturing for reuse is to consider that there are two major kinds of know...
This paper introduces a novel method for obtaining increased predictive performance from transparent models in situations where production input vectors are available when building...