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» Substring Selectivity Estimation
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IJON
2008
105views more  IJON 2008»
13 years 9 months ago
Estimating the number of components in a mixture of multilayer perceptrons
BIC criterion is widely used by the neural-network community for model selection tasks, although its convergence properties are not always theoretically established. In this paper...
Madalina Olteanu, Joseph Rynkiewicz
ICC
2007
IEEE
155views Communications» more  ICC 2007»
14 years 5 months ago
Adaptive Joint Estimation of Symbol Timing and Carrier Frequency Offset for OFDM Systems
Abstract—Synchronization is an important issue in orthogonal frequency-division multiplexing (OFDM) systems including symbol timing and carrier frequency offset (CFO) estimation....
Huiming Wang, Qinye Yin, Yinkuo Meng, Ke Deng
AUTONOMICS
2009
ACM
14 years 5 months ago
Sensor Selection for IT Infrastructure Monitoring
Supervisory control is the main means to assure a high level performance and availability of large IT infrastructures. Applied control theory is used in physical and virtualization...
Gergely János Paljak, Imre Kocsis, Zolt&aac...
ML
2002
ACM
178views Machine Learning» more  ML 2002»
13 years 10 months ago
Metric-Based Methods for Adaptive Model Selection and Regularization
We present a general approach to model selection and regularization that exploits unlabeled data to adaptively control hypothesis complexity in supervised learning tasks. The idea ...
Dale Schuurmans, Finnegan Southey
ICANN
2009
Springer
14 years 5 months ago
Selective Attention Improves Learning
Abstract. We demonstrate that selective attention can improve learning. Considerably fewer samples are needed to learn a source separation problem when the inputs are pre-segmented...
Antti Yli-Krekola, Jaakko Särelä, Harri ...