dely acknowledged that categorically organized abstract knowledge plays a significant role in high-order human cognition. Yet, there are many unknown issues about the nature of ho...
Algorithms for learning the conditional probabilities of Bayesian networks with hidden variables typically operate within a high-dimensional search space and yield only locally op...
We present a new algorithm for Bayesian network structure learning, called Max-Min Hill-Climbing (MMHC). The algorithm combines ideas from local learning, constraint-based, and sea...
Ioannis Tsamardinos, Laura E. Brown, Constantin F....
In this paper we describe our approach to realize a pervasive (computing) learning environment for children based on augmented toys: traditional toys that are equipped with pervas...
Abstract: Traffic engineering in P2P networks deals with organizing overlay networks. The challenge of unavailability has not been mastered yet. Considering the resource allocatio...