The resampling of discrete-time signals where the underlying analog signal is non-bandlimited is considered in this paper. We extend the generalized sampling theory developed base...
The notion of algorithmic stability has been used effectively in the past to derive tight generalization bounds. A key advantage of these bounds is that they are designed for spec...
In this paper we present a semantic theory for Concurrent ML. It consists of a new effect-based type system and a denotational model. The new type system is based on an extension o...
We develop an approach to intrinsic dimension estimation based on k-nearest neighbor (kNN) distances. The dimension estimator is derived using a general theory on functionals of k...
In Ôcontextual learning theoryÕ three types of contextual conditions (differentiation of learning procedures and materials, integrated ICT support, and improvement of developme...