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» The limitation of Bayesianism
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ML
2002
ACM
128views Machine Learning» more  ML 2002»
13 years 6 months ago
A Simple Method for Generating Additive Clustering Models with Limited Complexity
Additive clustering was originally developed within cognitive psychology to enable the development of featural models of human mental representation. The representational flexibili...
Michael D. Lee
CISS
2010
IEEE
12 years 10 months ago
Limiting false data attacks on power system state estimation
Abstract-Malicious attacks against power system state estimation are considered. It has been recently observed that if an adversary is able to manipulate the measurements taken at ...
Oliver Kosut, Liyan Jia, Robert J. Thomas, Lang To...
CIG
2005
IEEE
14 years 17 days ago
On TRACS: Dealing with a Deck of Double-Sided Cards
TRACS (Tool for Research on Adaptive Cognitive Strategies) is a new suite of card games played with a special deck, where the back of each card is a clue to the front of the card. ...
Kevin Burns
ENC
2004
IEEE
13 years 10 months ago
A Method Based on Genetic Algorithms and Fuzzy Logic to Induce Bayesian Networks
A method to induce bayesian networks from data to overcome some limitations of other learning algorithms is proposed. One of the main features of this method is a metric to evalua...
Manuel Martínez-Morales, Ramiro Garza-Dom&i...
NECO
2002
117views more  NECO 2002»
13 years 6 months ago
Bayesian A* Tree Search with Expected O(N) Node Expansions: Applications to Road Tracking
Many perception, reasoning, and learning problems can be expressed as Bayesian inference. We point out that formulating a problem as Bayesian inference implies specifying a probabi...
James M. Coughlan, Alan L. Yuille