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PKDD
2010
Springer
129views Data Mining» more  PKDD 2010»
14 years 9 months ago
Smarter Sampling in Model-Based Bayesian Reinforcement Learning
Abstract. Bayesian reinforcement learning (RL) is aimed at making more efficient use of data samples, but typically uses significantly more computation. For discrete Markov Decis...
Pablo Samuel Castro, Doina Precup
EDM
2009
147views Data Mining» more  EDM 2009»
14 years 9 months ago
Using Dirichlet priors to improve model parameter plausibility
Student modeling is a widely used approach to make inference about a student's attributes like knowledge, learning, etc. If we wish to use these models to analyze and better u...
Dovan Rai, Yue Gong, Joseph Beck
SSD
2005
Springer
145views Database» more  SSD 2005»
15 years 4 months ago
High Performance Multimodal Networks
Networks often form the core of many users’ spatial databases. Networks are used to support the rapid navigation and analysis of linearly connected data such as that found in tra...
Erik G. Hoel, Wee-Liang Heng, Dale Honeycutt
CVGIP
2007
136views more  CVGIP 2007»
14 years 11 months ago
Contour-based surface reconstruction using MPU implicit models
This paper presents a technique for creating a smooth, closed surface from a set of 2D contours, which have been extracted from a 3D scan. The technique interprets the pixels that...
Ilya Braude, Jeffrey Marker, Ken Museth, Jonathan ...
ECCV
2006
Springer
16 years 1 months ago
Figure/Ground Assignment in Natural Images
Abstract. Figure/ground assignment is a key step in perceptual organization which assigns contours to one of the two abutting regions, providing information about occlusion and all...
Xiaofeng Ren, Charless Fowlkes, Jitendra Malik