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JMLR
2008
129views more  JMLR 2008»
13 years 7 months ago
Finite-Time Bounds for Fitted Value Iteration
In this paper we develop a theoretical analysis of the performance of sampling-based fitted value iteration (FVI) to solve infinite state-space, discounted-reward Markovian decisi...
Rémi Munos, Csaba Szepesvári
SIGOPS
2011
210views Hardware» more  SIGOPS 2011»
13 years 2 months ago
Small trusted primitives for dependable systems
Secure, fault-tolerant distributed systems are difficult to build, to validate, and to operate. Conservative design for such systems dictates that their security and fault toleran...
Petros Maniatis, Byung-Gon Chun
ICPR
2000
IEEE
14 years 8 months ago
General Bias/Variance Decomposition with Target Independent Variance of Error Functions Derived from the Exponential Family of D
An important theoretical tool in machine learning is the bias/variance decomposition of the generalization error. It was introduced for the mean square error in [3]. The bias/vari...
Jakob Vogdrup Hansen, Tom Heskes
KDD
2008
ACM
195views Data Mining» more  KDD 2008»
14 years 8 months ago
Anomaly pattern detection in categorical datasets
We propose a new method for detecting patterns of anomalies in categorical datasets. We assume that anomalies are generated by some underlying process which affects only a particu...
Kaustav Das, Jeff G. Schneider, Daniel B. Neill
AAAI
2000
13 years 9 months ago
Decision Making under Uncertainty: Operations Research Meets AI (Again)
Models for sequential decision making under uncertainty (e.g., Markov decision processes,or MDPs) have beenstudied in operations research for decades. The recent incorporation of ...
Craig Boutilier