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» Dynamic Modeling in Inductive Inference
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JMLR
2010
134views more  JMLR 2010»
13 years 2 months ago
Inference of Graphical Causal Models: Representing the Meaningful Information of Probability Distributions
This paper studies the feasibility and interpretation of learning the causal structure from observational data with the principles behind the Kolmogorov Minimal Sufficient Statist...
Jan Lemeire, Kris Steenhaut
MKM
2004
Springer
14 years 1 months ago
Predicate Logic with Sequence Variables and Sequence Function Symbols
We describe an extension of first-order logic with sequence variables and sequence functions. We define syntax, semantics and inference system for the extension so that Completen...
Temur Kutsia, Bruno Buchberger
MOR
2006
86views more  MOR 2006»
13 years 7 months ago
Evolutionary Stability for Large Populations and Backward Induction
It has been shown (Hart [2002]) that the backward induction (or subgame-perfect) equilibrium of a perfect information game is the unique stable outcome for dynamic models consisti...
Ziv Gorodeisky
AUSAI
1998
Springer
13 years 11 months ago
Adjusted Probability Naive Bayesian Induction
Naive Bayesian classi ers utilise a simple mathematical model for induction. While it is known that the assumptions on which this model is based are frequently violated, the predic...
Geoffrey I. Webb, Michael J. Pazzani
UMUAI
2008
110views more  UMUAI 2008»
13 years 7 months ago
Modeling self-efficacy in intelligent tutoring systems: An inductive approach
Abstract. Self-efficacy is an individual's belief about her ability to perform well in a given situation. Because selfefficacious students are effective learners, endowing int...
Scott W. McQuiggan, Bradford W. Mott, James C. Les...