This paper discusses a novel distributed adaptive algorithm and representation used to construct populations of adaptive Web agents. These InfoSpiders browse networked information ...
Abstract. This paper studies the properties and performance of models for estimating local probability distributions which are used as components of larger probabilistic systems â€...
Kristina Toutanova, Mark Mitchell, Christopher D. ...
The paper provides an insight into the changing nature of the learning process through the adoption of interactive new media solutions into a traditional University Campus. The us...
Abstract. After introducing the concept of mobile agents and potential application domains, we motivate why mobile agent technology is an interesting concept for large Internet-bas...
We present a subspace learning method, called Local Discriminant Embedding with Tensor representation (LDET), that addresses simultaneously the generalization and data representat...