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ICML
2005
IEEE
14 years 5 months ago
Compact approximations to Bayesian predictive distributions
We provide a general framework for learning precise, compact, and fast representations of the Bayesian predictive distribution for a model. This framework is based on minimizing t...
Edward Snelson, Zoubin Ghahramani
DAC
2010
ACM
13 years 8 months ago
Automated compact dynamical modeling: an enabling tool for analog designers
In this paper we summarize recent developments in compact dynamical modeling for both linear and nonlinear systems arising in analog applications. These techniques include methods...
Bradley N. Bond, Luca Daniel
ACL
2012
11 years 7 months ago
Estimating Compact Yet Rich Tree Insertion Grammars
We present a Bayesian nonparametric model for estimating tree insertion grammars (TIG), building upon recent work in Bayesian inference of tree substitution grammars (TSG) via Dir...
Elif Yamangil, Stuart M. Shieber
SIGMETRICS
2011
ACM
208views Hardware» more  SIGMETRICS 2011»
12 years 7 months ago
Structure-aware sampling on data streams
The massive data streams observed in network monitoring, data processing and scientific studies are typically too large to store. For many applications over such data, we must ob...
Edith Cohen, Graham Cormode, Nick G. Duffield
BMCBI
2010
208views more  BMCBI 2010»
13 years 4 months ago
A multi-filter enhanced genetic ensemble system for gene selection and sample classification of microarray data
Background: Feature selection techniques are critical to the analysis of high dimensional datasets. This is especially true in gene selection from microarray data which are common...
Pengyi Yang, Bing Bing Zhou, Zili Zhang, Albert Y....