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» Approximate algorithms for neural-Bayesian approaches
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GRAPHICSINTERFACE
2000
14 years 11 months ago
Animating Athletic Motion Planning By Example
Character animation is usually reserved for highly skilled animators and computer programmers because few of the available tools allow the novice or casual user to create compelli...
Ronald A. Metoyer, Jessica K. Hodgins
IMAGING
2000
14 years 11 months ago
Spectral-Based Six-Color Separation Minimizing Metamerism
A spectral-based six-color printer model was derived in determining the six color separations for an input spectral image that yields the least metameric reproduction relative to ...
Di-yuan Tzeng, Roy S. Berns
UAI
1996
14 years 11 months ago
Bayesian Learning of Loglinear Models for Neural Connectivity
This paper presents a Bayesian approach to learning the connectivity structure of a group of neurons from data on configuration frequencies. A major objective of the research is t...
Kathryn B. Laskey, Laura Martignon
ATAL
2010
Springer
14 years 11 months ago
Robust Bayesian methods for Stackelberg security games
Recent work has applied game-theoretic models to real-world security problems at the Los Angeles International Airport (LAX) and Federal Air Marshals Service (FAMS). The analysis o...
Christopher Kiekintveld, Milind Tambe, Janusz Mare...
DIS
2008
Springer
14 years 11 months ago
Empirical Asymmetric Selective Transfer in Multi-objective Decision Trees
We consider learning tasks where multiple target variables need to be predicted. Two approaches have been used in this setting: (a) build a separate single-target model for each ta...
Beau Piccart, Jan Struyf, Hendrik Blockeel