For a long time people have been trying to develop probability theory starting from `finite' events rather than collections of infinite events. In this way one can find natura...
In this paper, we study an online learning algorithm in Reproducing Kernel Hilbert Spaces (RKHS) and general Hilbert spaces. We present a general form of the stochastic gradient m...
The idea of coercive subtyping, a theory of abbreviation for dependent type theories, is incorporated into the polymorphic type system in functional programming languages. The tra...
Abstract In this paper we present a new method for Joint Feature Selection and Classifier Learning (JFSCL) using a sparse Bayesian approach. These tasks are performed by optimizing...
Nowadays, multi-label classification methods are increasingly required by modern applications, such as protein function classification, music categorization and semantic scene cla...