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CIKM
2009
Springer
15 years 11 months ago
Networks, communities and kronecker products
Emergence of the web and online computing applications gave rise to rich large scale social activity data. One of the principal challenges then is to build models and understandin...
Jure Leskovec
KDD
2003
ACM
175views Data Mining» more  KDD 2003»
16 years 5 months ago
Time and sample efficient discovery of Markov blankets and direct causal relations
Data Mining with Bayesian Network learning has two important characteristics: under broad conditions learned edges between variables correspond to causal influences, and second, f...
Ioannis Tsamardinos, Constantin F. Aliferis, Alexa...
CN
2000
128views more  CN 2000»
15 years 4 months ago
The Network Workbench: network simulation software for academic investigation of Internet concepts
Simulation offers significant advantages as a basis for academic projects in computer networking. many unimportant details can be abstracted away, and also because simulations can...
J. Mark Pullen
IJCNN
2008
IEEE
15 years 11 months ago
Self-organizing neural models integrating rules and reinforcement learning
— Traditional approaches to integrating knowledge into neural network are concerned mainly about supervised learning. This paper presents how a family of self-organizing neural m...
Teck-Hou Teng, Zhong-Ming Tan, Ah-Hwee Tan
IJCNN
2000
IEEE
15 years 9 months ago
Bias Learning, Knowledge Sharing
—Biasing properly the hypothesis space of a learner has been shown to improve generalization performance. Methods for achieving this goal have been proposed, that range from desi...
Joumana Ghosn, Yoshua Bengio