Since most real-world applications of classification learning involve continuous-valued attributes, properly addressing the discretization process is an important problem. This pa...
Granulation is an important component of Granular Computing (GrC) as a problem solving paradigm. Specification and regulation of granulation are necessary in helping researchers a...
We give an algorithm that computes the final state of certain growth models without computing all intermediate states. Our technique is based on a "least action principle"...
Generic SAT solvers have been very successful in solving hard combinatorial problems in various application areas, including AI planning. There is potential for improved performanc...
Paraphrasing methods recognize, generate, or extract phrases, sentences, or longer natural language expressions that convey almost the same information. Textual entailment methods...