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» Likelihood Computations Using Value Abstraction
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ICCSA
2009
Springer
14 years 4 months ago
Learning and Predicting Key Web Navigation Patterns Using Bayesian Models
Abstract. The accurate prediction of Web navigation patterns has immense commercial value as the Web evolves into a primary medium for marketing and sales for many businesses. Ofte...
Malik Tahir Hassan, Khurum Nazir Junejo, Asim Kari...
TNN
2010
143views Management» more  TNN 2010»
13 years 4 months ago
Using unsupervised analysis to constrain generalization bounds for support vector classifiers
Abstract--A crucial issue in designing learning machines is to select the correct model parameters. When the number of available samples is small, theoretical sample-based generali...
Sergio Decherchi, Sandro Ridella, Rodolfo Zunino, ...
DSN
2008
IEEE
14 years 4 months ago
SymPLFIED: Symbolic program-level fault injection and error detection framework
This paper introduces SymPLFIED, a program-level framework which allows specification of arbitrary error detectors and the verification of their efficacy against hardware errors. ...
Karthik Pattabiraman, Nithin Nakka, Zbigniew Kalba...
PKDD
2010
Springer
129views Data Mining» more  PKDD 2010»
13 years 8 months ago
Smarter Sampling in Model-Based Bayesian Reinforcement Learning
Abstract. Bayesian reinforcement learning (RL) is aimed at making more efficient use of data samples, but typically uses significantly more computation. For discrete Markov Decis...
Pablo Samuel Castro, Doina Precup
GLOBECOM
2008
IEEE
14 years 4 months ago
Near-Capacity Three-Stage Downlink Iteratively Decoded Generalized Layered Space-Time Coding with Low Complexity
Abstract— This paper presents a low complexity iteratively detected space-time transmission architecture based on Generalized Layered Space-Time (GLST) codes and IRregular Convol...
Lingkun Kong, Soon Xin Ng, Lajos Hanzo