Abstract. We present a Bayesian treatment of non-negative matrix factorization (NMF), based on a normal likelihood and exponential priors, and derive an efficient Gibbs sampler to ...
— The notion of affordances is often directly linked with studies on mirror and canonical neurons as well as studies that try to relate language. In our previous work, we had dev...
A game-theoretic approach for learning optimal parameter values for probabilistic rough set regions is presented. The parameters can be used to define approximation regions in a p...
This paper presents a transductive approach to learn ranking functions for extractive multi-document summarization. At the first stage, the proposed approach identifies topic th...
—In this paper we estimate the end-to-end total bandwidth (BW) and available bandwidth (ABW) of a path between a pair of nodes in an IEEE 802.11b ad hoc network, both as function...