86 search results - page 4 / 18 » Learning stick-figure models using nonparametric Bayesian pr... |
121
click to vote
ICML
2007
IEEE
16 years 14 days ago
2007
IEEE
We consider the problem of multi-task reinforcement learning, where the agent needs to solve a sequence of Markov Decision Processes (MDPs) chosen randomly from a fixed but unknow...
101
click to vote
ICML
2007
IEEE
16 years 14 days ago
2007
IEEE
We1 present a new actor-critic learning model in which a Bayesian class of non-parametric critics, using Gaussian process temporal difference learning is used. Such critics model ...
123
click to vote
UAI
2001
15 years 1 months ago
2001
We present a general framework for defining priors on model structure and sampling from the posterior using the Metropolis-Hastings algorithm. The key ideas are that structure pri...
123
click to vote
NECO
2011
14 years 6 months ago
2011
Selection of an optimal estimator typically relies on either supervised training samples (pairs of measurements and their associated true values), or a prior probability model for...
112
click to vote
SIGIR
2004
ACM
15 years 5 months ago
2004
ACM
Information filtering has made considerable progress in recent years.The predominant approaches are content-based methods and collaborative methods. Researchers have largely conc...