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» Finding Structure in Reinforcement Learning
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162
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ICANN
2009
Springer
15 years 1 months ago
MINLIP: Efficient Learning of Transformation Models
Abstract. This paper studies a risk minimization approach to estimate a transformation model from noisy observations. It is argued that transformation models are a natural candidat...
Vanya Van Belle, Kristiaan Pelckmans, Johan A. K. ...
128
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JMLR
2010
119views more  JMLR 2010»
14 years 10 months ago
Semi-Supervised Learning via Generalized Maximum Entropy
Various supervised inference methods can be analyzed as convex duals of the generalized maximum entropy (MaxEnt) framework. Generalized MaxEnt aims to find a distribution that max...
Ayse Erkan, Yasemin Altun
129
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COCOON
1995
Springer
15 years 7 months ago
Constructing Craig Interpolation Formulas
A Craig interpolant of two inconsistent theories is a formula which is true in one and false in the other. This paper gives an eificient method for constructing a Craig interpolant...
Guoxiang Huang
136
Voted
VSGAMES
2010
129views Game Theory» more  VSGAMES 2010»
15 years 1 months ago
Validation of Serious Games Attributes Using the Technology Acceptance Model
—The paper introduces a conceptual model for the design of serious games and uses the Technology Acceptance Model (TAM) for its validation. A specially developed game introduced ...
Amri Yusoff, Richard Crowder, Lester Gilbert
127
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ICDAR
2009
IEEE
15 years 10 months ago
Learning Rich Hidden Markov Models in Document Analysis: Table Location
Hidden Markov Models (HMM) are probabilistic graphical models for interdependent classification. In this paper we experiment with different ways of combining the components of an ...
Ana Costa e Silva