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ECCV
2008
Springer
16 years 14 hour ago
SERBoost: Semi-supervised Boosting with Expectation Regularization
The application of semi-supervised learning algorithms to large scale vision problems suffers from the bad scaling behavior of most methods. Based on the Expectation Regularization...
Amir Saffari, Helmut Grabner, Horst Bischof
SETN
2010
Springer
15 years 2 months ago
Genetic Algorithm Solution to Optimal Sizing Problem of Small Autonomous Hybrid Power Systems
The optimal sizing of a small autonomous hybrid power system can be a very challenging task, due to the large number of design settings and the uncertainty in key parameters. This ...
Yiannis A. Katsigiannis, Pavlos S. Georgilakis, Em...
HICSS
2007
IEEE
138views Biometrics» more  HICSS 2007»
15 years 4 months ago
A Probabilistic Graphical Approach to Computing Electricity Price Duration Curves under Price and Quantity Competition
Abstract— The electricity price duration curve (EPDC) represents the probability distribution function of the electricity price considered as a random variable. The price uncerta...
Pascal Michaillat, Shmuel S. Oren
SIGMOD
2008
ACM
169views Database» more  SIGMOD 2008»
15 years 10 months ago
MCDB: a monte carlo approach to managing uncertain data
To deal with data uncertainty, existing probabilistic database systems augment tuples with attribute-level or tuple-level probability values, which are loaded into the database al...
Ravi Jampani, Fei Xu, Mingxi Wu, Luis Leopoldo Per...
SIAMSC
2011
177views more  SIAMSC 2011»
14 years 5 months ago
Computing f(A)b via Least Squares Polynomial Approximations
Given a certain function f, various methods have been proposed in the past for addressing the important problem of computing the matrix-vector product f(A)b without explicitly comp...
Jie Chen, Mihai Anitescu, Yousef Saad