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NN
2008
Springer
169views Neural Networks» more  NN 2008»
15 years 14 days 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...
128
Voted
UAI
2000
15 years 1 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
98
Voted
ML
2006
ACM
142views Machine Learning» more  ML 2006»
15 years 14 days 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....
90
Voted
PERCOM
2009
ACM
15 years 7 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 6 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