Manifold learning algorithms have been proven to be capable of discovering some nonlinear structures. However, it is hard for them to extend to test set directly. In this paper, a ...
Abstract. Description logics (DLs) are a well-known family of knowledge representation (KR) languages. The notation of DLs has the style of a variable-free first order predicate l...
In this paper by considering an answer set programming approach and some basic ideas from possibilistic logic, we introduce a possibilistic disjunctive logic programming approach t...
Juan Carlos Nieves, Mauricio Osorio, Ulises Cort&e...
Among the many works on trust negotiation, only a few deal with negotiation strategies. These works are tailored to specific frameworks—so their results cannot be extended to c...
Some machine learning applications are intended to learn properties of data sets where the correct answers are not already known to human users. It is challenging to test such ML ...