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» The Rate of Convergence of AdaBoost
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WSCG
2004
95views more  WSCG 2004»
13 years 11 months ago
Wave Height Forecasting Using Cascade Correlation Neural Network
Forecasting of wave height is necessary in a large number of ocean coastal activities. Recently, neural networks are used for prediction and approximation of wave heights in sea a...
Hamidreza Rashidy Kanan, Karim Faez
CSDA
2007
114views more  CSDA 2007»
13 years 9 months ago
Relaxed Lasso
The Lasso is an attractive regularisation method for high dimensional regression. It combines variable selection with an efficient computational procedure. However, the rate of co...
Nicolai Meinshausen
JMM2
2007
157views more  JMM2 2007»
13 years 9 months ago
Sub-band Implementation of Adaptive Nonlinear Filter for Adaptive Nonlinear Echo Cancellation
—The adaptive Volterra filter has been successfully applied in nonlinear acoustic echo cancellation (AEC) systems and nonlinear line echo cancellation systems, but its applicatio...
Dayong Zhou, Yunhua Wang, Victor E. DeBrunner, Lin...
TSP
2008
98views more  TSP 2008»
13 years 9 months ago
Fast and Stable YAST Algorithm for Principal and Minor Subspace Tracking
This paper presents a new implementation of the YAST algorithm for principal and minor subspace tracking. YAST was initially derived from the Subspace Projection (SP) algorithm by ...
Roland Badeau, Gaël Richard, Bertrand David
DEDS
2000
106views more  DEDS 2000»
13 years 9 months ago
Simulation Budget Allocation for Further Enhancing the Efficiency of Ordinal Optimization
Abstract. Ordinal Optimization has emerged as an efficient technique for simulation and optimization. Exponential convergence rates can be achieved in many cases. In this paper, we...
Chun-Hung Chen, Jianwu Lin, Enver Yücesan, St...