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ICTAI
2003
IEEE
15 years 11 months ago
Genetic Algorithm Calibration of Probabilistic Cellular Automata for Modeling Mining Permit Activity
We use a genetic algorithm to calibrate a spatially and temporally resolved cellular automata to model mining activity on public land in Idaho and western Montana. The genetic alg...
Sushil J. Louis, Gary L. Raines
AAAI
2010
15 years 7 months ago
Gaussian Mixture Model with Local Consistency
Gaussian Mixture Model (GMM) is one of the most popular data clustering methods which can be viewed as a linear combination of different Gaussian components. In GMM, each cluster ...
Jialu Liu, Deng Cai, Xiaofei He
NIPS
1998
15 years 7 months ago
Approximate Learning of Dynamic Models
Inference is a key component in learning probabilistic models from partially observable data. When learning temporal models, each of the many inference phases requires a complete ...
Xavier Boyen, Daphne Koller
AROBOTS
2008
100views more  AROBOTS 2008»
15 years 6 months ago
Human friendship estimation model for communication robots
Based on the analysis of non-verbal inter-human interaction, this paper proposes a model for estimating human friendships in the presence of a humanoid robot. Our previous study i...
Takayuki Kanda, Shogo Nabe, Kazuo Hiraki, Hiroshi ...
FS
2006
135views more  FS 2006»
15 years 6 months ago
Asymmetric Information in Fads Models
Fads models were introduced by Shiller (1984) and Summers (1986) as plausible alternatives to the efficient markets/constant expected returns assumptions. Under these models, loga...
Paolo Guasoni