We consider the problem of transmitting data at rate R over a state dependent channel p(ylx, s) with the state information available at the sender and at the same time conveying th...
Due to its wide applicability, the problem of semi-supervised classification is attracting increasing attention in machine learning. Semi-Supervised Support Vector Machines (S3VMs...
Olivier Chapelle, Vikas Sindhwani, S. Sathiya Keer...
This paper presents a methodology for automatic learning of ontologies from Thai text corpora, by extraction of terms and relations. A shallow parser is used to chunk texts on whic...
Many SAT instances can be decomposed into connected components either initially after preprocessing or during the solution phase when new unit conflict clauses are learned. This o...
We consider the problem of transmitting data at rate over a state-dependent channel with state information available at the sender and at the same time conveying the information ab...