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CSDA
2007
128views more  CSDA 2007»
15 years 6 months ago
Regularized linear and kernel redundancy analysis
Redundancy analysis (RA) is a versatile technique used to predict multivariate criterion variables from multivariate predictor variables. The reduced-rank feature of RA captures r...
Yoshio Takane, Heungsun Hwang
PPL
2008
124views more  PPL 2008»
15 years 6 months ago
Experimental Evaluation of BSP Programming Libraries
The model of bulk-synchronous parallel computation (BSP) helps to implement portable general purpose algorithms while keeping predictable performance on different parallel compute...
Peter Krusche
TCAD
2008
133views more  TCAD 2008»
15 years 6 months ago
Metal-Density-Driven Placement for CMP Variation and Routability
In this paper, we propose the first metal-density driven placement algorithm to reduce CMP variation and achieve higher routability. Based on an analytical placement framework, we...
Tung-Chieh Chen, Minsik Cho, David Z. Pan, Yao-Wen...
TSP
2008
121views more  TSP 2008»
15 years 6 months ago
Stochastic Analysis of the LMS Algorithm for System Identification With Subspace Inputs
This paper studies the behavior of the low-rank least mean squares (LMS) adaptive algorithm for the general case in which the input transformation may not capture the exact input s...
Neil J. Bershad, José Carlos M. Bermudez, J...
PKDD
2010
Springer
152views Data Mining» more  PKDD 2010»
15 years 5 months ago
Online Knowledge-Based Support Vector Machines
Prior knowledge, in the form of simple advice rules, can greatly speed up convergence in learning algorithms. Online learning methods predict the label of the current point and the...
Gautam Kunapuli, Kristin P. Bennett, Amina Shabbee...