We draw on recent work in nonparametric Bayesian statistics to define a rational model of human feature learning that forms a featural representation from raw ...
Analyzing human feature learning as non-parametric Bayesian inference. By Joseph L. Austerweil and Thomas L. Griffiths. Department of Psychology, UC Berkeley ...
Analyzing human feature learning as nonparametric Bayesian inference. Joseph ... We investigate human feature learning by viewing it as the optimal solution of.
We draw on recent work in nonparametric Bayesian statistics to define a rational model of human feature learning that forms a featural representation from raw ...
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Dec 8, 2008 · We draw on recent work in nonparametric Bayesian statistics to define a rational model of human feature learning that forms a featural ...
We draw on recent work in nonparametric Bayesian statistics to define a rational model of human feature learning that forms a featural representation from raw ...
Analyzing human feature learning as nonparametric Bayesian inference. ... Bayesian nonparametric latent feature models. Bayesian Statistics 8. Oxford University ...
May 18, 2014 · Bayesian statistics and machine learning are both powerful tools for analysis and prediction, but they approach these tasks from different ...
Analyzing human feature learning as nonparametric Bayesian inference ... Almost all successful machine learning algorithms and cognitive models require powerful ...
A rational model of the effects of distributional information on feature learning · Analyzing human feature learning as nonparametric Bayesian inference · A ...