A process, based on argumentation theory, is described for classifying very noisy data. More specifically a process founded on a concept called “arguing from experience” is des...
Maya Wardeh, Frans Coenen, Trevor J. M. Bench-Capo...
Neural networks and other sophisticated machine learning algorithms frequently miss simple solutions that can be discovered by a more constrained learning methods. Transition from ...
We study the two-party commitment problem, where two players have secret values they wish to commit to each other. Traditional commitment schemes cannot be used here because they d...
Moses Liskov, Anna Lysyanskaya, Silvio Micali, Leo...
A fragmentary pattern is a multiset of non-empty strings, and it matches a string w if all the strings in it occur within w without any overlaps. We study some fundamental issues o...
Hideaki Hori, Shinichi Shimozono, Masayuki Takeda,...
The problem of automatic text segmentation is subcategorized into two different problems: thematic segmentation into rather large topically selfcontained sections and splitting int...