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» Finite-Sample Analysis of LSTD
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99
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ICML
2010
IEEE
15 years 1 months ago
Convergence of Least Squares Temporal Difference Methods Under General Conditions
We consider approximate policy evaluation for finite state and action Markov decision processes (MDP) in the off-policy learning context and with the simulation-based least square...
Huizhen Yu
INFOCOM
2012
IEEE
13 years 11 months ago
Expected loss bounds for authentication in constrained channels
We derive bounds on the expected loss for authentication protocols in channels which are constrained due to noisy conditions and communication costs. This is motivated by a numbe...
Christos Dimitrakakis, Aikaterini Mitrokotsa, Serg...
96
Voted

Lecture Notes
488views
16 years 11 months ago
Econometrics
These notes cover several topics such as Univariate Time Series Analysis, The Distribution of a Sample Average, Least Squares, Instrumental Variable Method, Simulating the Finite S...
Paul Söderlind
99
Voted
NIPS
2008
15 years 2 months ago
Unlabeled data: Now it helps, now it doesn't
Empirical evidence shows that in favorable situations semi-supervised learning (SSL) algorithms can capitalize on the abundance of unlabeled training data to improve the performan...
Aarti Singh, Robert D. Nowak, Xiaojin Zhu
CSDA
2010
157views more  CSDA 2010»
15 years 26 days ago
Robust estimation of constrained covariance matrices for confirmatory factor analysis
Confirmatory factor analysis (CFA) is a data anylsis procedure that is widely used in social and behavioral sciences in general and other applied sciences that deal with large qua...
E. Dupuis Lozeron, M. P. Victoria-Feser