In this paper, an easily implemented semi-supervised graph learning method is presented for dimensionality reduction and clustering, using the most of prior knowledge from limited...
t techniques to create such a network associated with an abstract cell environment is discussed in order to gain insights into the functional as well as spatial interrelationships....
: This paper addresses issues related to Knowledge Management in the context of heterogeneous data warehouse environments. The traditional notion of data warehouse is evolving into...
In this paper we present a method to represent knowledge associated with a course. Course knowledge can be represented in the form of hierarchical prerequisite relation based weigh...
T his paper outlines a formal theory for de fining action concepts in taxonomical knowledge representation languages, in a form closely related to description logics. The central p...