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NIPS
2007
15 years 6 months ago
Online Linear Regression and Its Application to Model-Based Reinforcement Learning
We provide a provably efficient algorithm for learning Markov Decision Processes (MDPs) with continuous state and action spaces in the online setting. Specifically, we take a mo...
Alexander L. Strehl, Michael L. Littman
141
Voted
VMCAI
2010
Springer
16 years 2 months ago
Shape Analysis with Reference Set Relations
Tracking subset relations between the contents containers on the heap is fundamental to modeling the semantics of many common programing idioms such as applying a function to a sub...
Mark Marron, Rupak Majumdar, Darko Stefanovic, Dee...
138
Voted
SAC
2009
ACM
15 years 11 months ago
LEGAL-tree: a lexicographic multi-objective genetic algorithm for decision tree induction
Decision trees are widely disseminated as an effective solution for classification tasks. Decision tree induction algorithms have some limitations though, due to the typical strat...
Márcio P. Basgalupp, Rodrigo C. Barros, And...
ISIPTA
2005
IEEE
168views Mathematics» more  ISIPTA 2005»
15 years 10 months ago
Bayesianism Without Priors, Acts Without Consequences
: A generalization of subjective expected utility is presented in which the primitives are a finite set of states of the world, a finite set of strategies available to the decision...
Robert Nau
CKEC
1991
15 years 8 months ago
Case-Based Reasoning and Model-Based Knowledge Acquisition
We propose in this paper a general framework for integrating inductive and case-based reasoning techniques for diagnosis tasks. We present a set of practical integrated approaches...
Dietmar Janetzko, Gerhard Strube