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NN
2008
Springer
169views Neural Networks» more  NN 2008»
15 years 4 months ago
Modeling a flexible representation machinery of human concept learning
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...
Toshihiko Matsuka, Yasuaki Sakamoto, Arieta Chouch...
UAI
2000
15 years 5 months ago
Exploiting Qualitative Knowledge in the Learning of Conditional Probabilities of Bayesian Networks
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...
Frank Wittig, Anthony Jameson
ML
2006
ACM
142views Machine Learning» more  ML 2006»
15 years 4 months ago
The max-min hill-climbing Bayesian network structure learning algorithm
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....
PERCOM
2009
ACM
15 years 11 months ago
An Infrastructure for Interactive and Playful Learning in Augmented Toy Environments
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...
Steve Hinske, Marc Langheinrich
KIVS
2005
Springer
15 years 9 months ago
P2P Replication Revisited: Mobile Infrastructures
Abstract: Traffic engineering in P2P networks deals with organizing overlay networks. The challenge of unavailability has not been mastered yet. Considering the resource allocatio...
Jens O. Oberender, Hermann de Meer