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...
Publish/subscribe systems have gained increasing interest in the past few years. There are many commercial products available today that rely on them directly. However, up to now ...
It is well known that trivariate reduction — a method to generate two dependent random variables from three independent random variables — can be used to generate Poisson rand...
We propose a new transductive learning algorithm for learning optimal linear representations that utilizes unlabeled data. We pose the problem of learning linear representations a...
Recently, Balcan and Blum [1] suggested a theory of learning based on general similarity functions, instead of positive semi-definite kernels. We study the gap between the learnin...