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» On Graphical Modeling of Preference and Importance
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157
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CORR
2011
Springer
230views Education» more  CORR 2011»
14 years 10 months ago
Computational Rationalization: The Inverse Equilibrium Problem
Modeling the behavior of imperfect agents from a small number of observations is a difficult, but important task. In the singleagent decision-theoretic setting, inverse optimal co...
Kevin Waugh, Brian Ziebart, J. Andrew Bagnell
169
Voted
TCSV
2011
14 years 10 months ago
Mixture of Gaussians-Based Background Subtraction for Bayer-Pattern Image Sequences
This paper proposes a background subtraction method for Bayer-pattern image sequences. The proposed method models the background in a Bayer-pattern domain using a mixture of Gauss...
Jae Kyu Suhr, Ho Gi Jung, Gen Li, Jaihie Kim
131
Voted
BMCBI
2008
218views more  BMCBI 2008»
15 years 3 months ago
LOSITAN: A workbench to detect molecular adaptation based on a Fst-outlier method
Background: Testing for selection is becoming one of the most important steps in the analysis of multilocus population genetics data sets. Existing applications are difficult to u...
Tiago Antao, Ana Lopes, Ricardo J. Lopes, Albano B...
184
Voted
WWW
2010
ACM
15 years 10 months ago
Factorizing personalized Markov chains for next-basket recommendation
Recommender systems are an important component of many websites. Two of the most popular approaches are based on matrix factorization (MF) and Markov chains (MC). MF methods learn...
Steffen Rendle, Christoph Freudenthaler, Lars Schm...
162
Voted
SIGGRAPH
1997
ACM
15 years 7 months ago
Metropolis light transport
We present a new Monte Carlo method for solving the light transport problem, inspired by the Metropolis sampling method in computational physics. To render an image, we generate a...
Eric Veach, Leonidas J. Guibas