Distributed learning is a problem of fundamental interest in machine learning and cognitive science. In this paper, we present asynchronous distributed learning algorithms for two...
We describe a fast algorithm for kernel discriminant analysis, empirically demonstrating asymptotic speed-up over the previous best approach. We achieve this with a new pattern of...
In this paper we discuss using a case study to demonstrate the software engineering process from requirements, specification, preliminary user manual, prototyping, design, impleme...
We propose a novel bilingual topical admixture (BiTAM) formalism for word alignment in statistical machine translation. Under this formalism, the parallel sentence-pairs within a ...
: Over the last three decades there has been significant progress in the first principles methods for calculating the properties of materials at the quantum level. They have largel...
Yang Wang 0008, G. M. Stocks, Aurelian Rusanu, D. ...