Our objective is to model the visual manifold of object appearance corresponding to geometric transformation. We learn a generative model for object appearance where the appearanc...
This paper reports on Korean Word Associations (KorWA) which were collected to construct a semantic network for Korean language. An approach of graph representation and network an...
In this paper, we focus on the problem of learning reactive skills for use by physical agents. We propose a new representation for such procedures, teleoreactive logic programs, al...
A machine learning technique for handling scenarios of interaction between conflicting agents is suggested. Scenarios are represented by directed graphs with labeled vertices (for ...
Boris Galitsky, Sergei O. Kuznetsov, Mikhail V. Sa...
Abstract. Our unique approach for learning English grapheme segmentation (LE-GS) rules using the Iterated Version Space Algorithm (IVSA) is presented. After de ning the problem and...
Jianna Jian Zhang, Howard J. Hamilton, Nick Cercon...