Abstract. The paper refutes the general phenomenological argument that knowledge cannot be completely represented by symbols and, hence, symbolic AI does not work. Moreover, the vi...
We explore a general Bayesian active learning setting, in which the learner can ask arbitrary yes/no questions. We derive upper and lower bounds on the expected number of queries r...
We propose a spatio-temporal markup for the annotation of motion predicates in text, informed by a lexical semantic classification of these verbs. We incorporate this classificati...
cipal high-level goal of the research is to develop abstractions, theory and methodology and software tools that allow federal statistical agencies to disseminate useful informatio...
Granular computing is gradually changing from a label to a new field of study. The driving forces, the major schools of thought, and the future research directions on granular co...