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CORR
2012
Springer
196views Education» more  CORR 2012»
14 years 2 months ago
PAC-Bayesian Policy Evaluation for Reinforcement Learning
Bayesian priors offer a compact yet general means of incorporating domain knowledge into many learning tasks. The correctness of the Bayesian analysis and inference, however, lar...
Mahdi Milani Fard, Joelle Pineau, Csaba Szepesv&aa...
CORR
2002
Springer
98views Education» more  CORR 2002»
15 years 6 months ago
An Empirical Model for Volatility of Returns and Option Pricing
In a seminal paper in 1973, Black and Scholes argued how expected distributions of stock prices can be used to price options. Their model assumed a directed random motion for the ...
Joseph L. McCauley, Gemunu H. Gunaratne
CVPR
2009
IEEE
17 years 2 months ago
A Nonparametric Riemannian Framework for Processing High Angular Resolution Diffusion Images (HARDI)
High angular resolution diffusion imaging has become an important magnetic resonance technique for in vivo imaging. Most current research in this field focuses on developing met...
Alvina Goh, Christophe Lenglet, Paul M. Thompson, ...
ECCV
2002
Springer
16 years 8 months ago
A Probabilistic Theory of Occupancy and Emptiness
This paper studies the inference of 3D shape from a set of ? noisy photos. We derive a probabilistic framework to specify what one can infer about 3D shape for arbitrarily-shaped, ...
Rahul Bhotika, David J. Fleet, Kiriakos N. Kutulak...
ICML
2006
IEEE
16 years 7 months ago
Bayesian pattern ranking for move prediction in the game of Go
We investigate the problem of learning to predict moves in the board game of Go from game records of expert players. In particular, we obtain a probability distribution over legal...
David H. Stern, Ralf Herbrich, Thore Graepel