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IJCAI
2007
14 years 11 months ago
A Bayesian Computational Cognitive Model
Computational cognitive modeling has recently emerged as one of the hottest issues in the AI area. Both symbolic approaches and connectionist approaches present their merits and d...
Zhiwei Shi, Hong Hu, Zhongzhi Shi
SAT
2005
Springer
145views Hardware» more  SAT 2005»
15 years 3 months ago
A New Approach to Model Counting
We introduce ApproxCount, an algorithm that approximates the number of satisfying assignments or models of a formula in propositional logic. Many AI tasks, such as calculating degr...
Wei Wei, Bart Selman
AAAI
1993
14 years 11 months ago
Reasoning With Characteristic Models
Formal AI systems traditionally represent knowledge using logical formulas. We will show, however, that for certain kinds of information, a modelbased representation is more compa...
Henry A. Kautz, Michael J. Kearns, Bart Selman
ICML
2002
IEEE
15 years 10 months ago
Exact model averaging with naive Bayesian classifiers
The naive classifier is a well-established mathematical model whose simplicity, speed and accuracy have made it a popular choice for classification in AI and engineering. In this ...
Denver Dash, Gregory F. Cooper
ICPR
2008
IEEE
15 years 4 months ago
A clustering algorithm combine the FCM algorithm with supervised learning normal mixture model
In this paper we propose a new clustering algorithm which combines the FCM clustering algorithm with the supervised learning normal mixture model; we call the algorithm as the FCM...
Wei Wang, Chunheng Wang, Xia Cui, Ai Wang