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NN
2006
Springer
15 years 3 months ago
Neural systems implicated in delayed and probabilistic reinforcement
This review considers the theoretical problems facing agents that must learn and choose on the basis of reward or reinforcement that is uncertain or delayed, in implicit or proced...
Rudolf N. Cardinal
HICSS
2008
IEEE
151views Biometrics» more  HICSS 2008»
15 years 10 months ago
A Conceptual Framework of Transactive Networks System
A virtual organization is a temporary network of companies, which implies the potential opportunity to learn and share abundant sources of complementary and compatible knowledge p...
Sheng-cheng Lin, Yu-Min Wang, Daniel Y. Shee
159
Voted
ML
2008
ACM
222views Machine Learning» more  ML 2008»
15 years 3 months ago
Boosted Bayesian network classifiers
The use of Bayesian networks for classification problems has received significant recent attention. Although computationally efficient, the standard maximum likelihood learning me...
Yushi Jing, Vladimir Pavlovic, James M. Rehg
PAKDD
2010
ACM
128views Data Mining» more  PAKDD 2010»
15 years 8 months ago
Privacy-Preserving Network Aggregation
Abstract. Consider the scenario where information about a large network is distributed across several different parties or commercial entities. Intuitively, we would expect that th...
Troy Raeder, Marina Blanton, Nitesh V. Chawla, Kei...
111
Voted
DAGSTUHL
1990
15 years 5 months ago
Parallel Distributed Belief Networks
A parallel distributed computational model for reasoning and learning is discussed based on a belief network paradigm. Issues like reasoning and learning for the proposed model ar...
Wilson X. Wen