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ICPR
2008
IEEE
16 years 8 months ago
Component-wise parameter smoothing for learning mixture models
In this paper, we propose a novel component-wise smoothing algorithm that constructs a hierarchy (or family) of smoothened log-likelihood surfaces. Our approach first smoothens th...
Bala Rajaratnam, Chandan K. Reddy
ICCAD
2008
IEEE
107views Hardware» more  ICCAD 2008»
16 years 1 months ago
Importance sampled circuit learning ensembles for robust analog IC design
This paper presents ISCLEs, a novel and robust analog design method that promises to scale with Moore’s Law, by doing boosting-style importance sampling on digital-sized circuit...
Peng Gao, Trent McConaghy, Georges G. E. Gielen
IJCNN
2006
IEEE
16 years 22 days ago
Learning to Rank by Maximizing AUC with Linear Programming
— Area Under the ROC Curve (AUC) is often used to evaluate ranking performance in binary classification problems. Several researchers have approached AUC optimization by approxi...
Kaan Ataman, W. Nick Street, Yi Zhang
MSE
2005
IEEE
133views Hardware» more  MSE 2005»
16 years 9 days ago
Embedded System Design with FPGAs Using HDLs (Lessons Learned and Pitfalls to Be Avoided)
This paper describes the authors experience with teaching VHDL (and more recently, Verilog) to undergraduate and graduate students at WPI and to engineers through various short co...
R. James Duckworth
HT
2004
ACM
16 years 4 days ago
Experiences migrating microcosm learning materials
Microcosm was an open hypertext system that evolved in the early 1990s, before the advent of the Web. Apart from its success as a research platform it was widely used for presenti...
H. C. Davis, R. A. Bacon