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147
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ICML
2007
IEEE
16 years 4 months ago
Learning a meta-level prior for feature relevance from multiple related tasks
In many prediction tasks, selecting relevant features is essential for achieving good generalization performance. Most feature selection algorithms consider all features to be a p...
Su-In Lee, Vassil Chatalbashev, David Vickrey, Dap...
136
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DAC
2000
ACM
15 years 7 months ago
An asymptotically constant, linearly bounded methodology for the statistical simulation of analog circuits including component m
Abstract: This paper presents a new statistical methodology to simulate the effect of both inter-die and intra-die variation on the electrical performance of analog integrated circ...
Carlo Guardiani, Sharad Saxena, Patrick McNamara, ...
135
Voted
ICUMT
2009
15 years 1 months ago
Two-layer network coordinate system for Internet distance prediction
Network coordinate (NC) system is an efficient and scalable system for Internet distance prediction. In this paper, we propose 3 two-layer NC systems HNPS, HBBS and HIDES derived f...
Chengbo Dong, Guodong Wang, Xuan Zhang, Beixing De...
CIDM
2009
IEEE
15 years 10 months ago
Ensemble member selection using multi-objective optimization
— Both theory and a wealth of empirical studies have established that ensembles are more accurate than single predictive models. Unfortunately, the problem of how to maximize ens...
Tuve Löfström, Ulf Johansson, Henrik Bos...
WSC
2007
15 years 5 months ago
Parallel cross-entropy optimization
The Cross-Entropy (CE) method is a modern and effective optimization method well suited to parallel implementations. There is a vast array of problems today, some of which are hig...
Gareth E. Evans, Jonathan M. Keith, Dirk P. Kroese