486 search results - page 57 / 98 » A Bayesian Framework for Reinforcement Learning |
COGSCI
2006
13 years 8 months ago
2006
We consider human performance on an optimal stopping problem where people are presented with a list of numbers independently chosen from a uniform distribution. People are told ho...
PAMI
2006
13 years 8 months ago
2006
Gaussian process classifiers (GPCs) are Bayesian probabilistic kernel classifiers. In GPCs, the probability of belonging to a certain class at an input location is monotonically re...
AVSS
2006
IEEE
14 years 15 days ago
2006
IEEE
The success of any Bayesian particle filtering based tracker relies heavily on the ability of the likelihood function to discriminate between the state that fits the image well an...
ML
2002
ACM
13 years 8 months ago
2002
ACM
I describe a framework for interpreting Support Vector Machines (SVMs) as maximum a posteriori (MAP) solutions to inference problems with Gaussian Process priors. This probabilisti...
UM
2010
Springer
14 years 1 months ago
2010
Springer
The field of intelligent tutoring systems has been using the well known knowledge tracing model, popularized by Corbett and Anderson (1995) to track individual users’ knowledge f...