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JMLR
2010
129views more  JMLR 2010»
13 years 10 days ago
Expectation Truncation and the Benefits of Preselection In Training Generative Models
We show how a preselection of hidden variables can be used to efficiently train generative models with binary hidden variables. The approach is based on Expectation Maximization (...
Jörg Lücke, Julian Eggert
NIPS
2008
13 years 7 months ago
Linear Classification and Selective Sampling Under Low Noise Conditions
We provide a new analysis of an efficient margin-based algorithm for selective sampling in classification problems. Using the so-called Tsybakov low noise condition to parametrize...
Giovanni Cavallanti, Nicolò Cesa-Bianchi, C...
EDBT
2009
ACM
175views Database» more  EDBT 2009»
14 years 10 days ago
Towards materialized view selection for distributed databases
Materialized views (MV) can significantly improve the query performance of relational databases. In this paper, we consider MVs to optimize complex scenarios where many heterogen...
Leonardo Weiss Ferreira Chaves, Erik Buchmann, Fab...
ITICSE
2000
ACM
13 years 10 months ago
The Internet-based lecture: converging teaching and technology
Network-based distributed education is a reality today. At George Mason University, we have been pursuing a capability beyond the widespread practice of supporting courses with we...
J. Mark Pullen
GECCO
2009
Springer
117views Optimization» more  GECCO 2009»
13 years 10 months ago
BBOB-benchmarking a simple estimation of distribution algorithm with cauchy distribution
The restarted estimation of distribution algorithm (EDA) with Cauchy distribution as the probabilistic model is tested on the BBOB 2009 testbed. These tests prove that when using ...
Petr Posik