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» Inference for Multiplicative Models
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143
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EUSFLAT
2009
196views Fuzzy Logic» more  EUSFLAT 2009»
15 years 12 days ago
Organizational Risk Assessment using Adaptive Neuro-Fuzzy Inference System
In this paper a fuzzy model based on Adaptive Neuro-Fuzzy Inference System (ANFIS) is introduced for calculating the level of risk in managerial problems. In this model, affecting ...
Javad J. Jassbi, Sohrab Khanmohammadi
135
Voted
ASC
2000
15 years 4 months ago
A New Object-Oriented Stochastic Modeling Language
A new language and inference algorithm for stochastic modeling is presented. This work refines and generalizes the stochastic functional language originally proposed by [1]. The l...
Daniel Pless, George F. Luger, Carl R. Stern
119
Voted
NIPS
2008
15 years 4 months ago
Analyzing human feature learning as nonparametric Bayesian inference
Almost all successful machine learning algorithms and cognitive models require powerful representations capturing the features that are relevant to a particular problem. We draw o...
Joseph Austerweil, Thomas L. Griffiths
129
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ISIPTA
2005
IEEE
162views Mathematics» more  ISIPTA 2005»
15 years 8 months ago
Learning from multinomial data: a nonparametric predictive alternative to the Imprecise Dirichlet Model
A new model for learning from multinomial data has recently been developed, giving predictive inferences in the form of lower and upper probabilities for a future observation. Apa...
Frank P. A. Coolen, Thomas Augustin
147
Voted
NIPS
2000
15 years 4 months ago
Learning Switching Linear Models of Human Motion
The human figure exhibits complex and rich dynamic behavior that is both nonlinear and time-varying. Effective models of human dynamics can be learned from motion capture data usi...
Vladimir Pavlovic, James M. Rehg, John MacCormick