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NIPS
2003
15 years 7 months ago
On the Concentration of Expectation and Approximate Inference in Layered Networks
We present an analysis of concentration-of-expectation phenomena in layered Bayesian networks that use generalized linear models as the local conditional probabilities. This frame...
XuanLong Nguyen, Michael I. Jordan
AMC
2007
108views more  AMC 2007»
15 years 6 months ago
How robust are average complexity measures? A statistical case study
: Average case analysis forms an interesting and intriguing part of algorithm theory since it explains why some algorithms with bad worst-case complexity can better themselves in p...
Soubhik Chakraborty, Suman Kumar Sourabh
JAT
2008
100views more  JAT 2008»
15 years 6 months ago
Direct and inverse results in variable Hilbert scales
Variable Hilbert scales are an important tool for the recent analysis of inverse problems in Hilbert spaces, as these constitute a way to describe smoothness of objects other than ...
Peter Mathé, Bernd Hofmann
ACL
2012
13 years 8 months ago
Corpus-based Interpretation of Instructions in Virtual Environments
Previous approaches to instruction interpretation have required either extensive domain adaptation or manually annotated corpora. This paper presents a novel approach to instructi...
Luciana Benotti, Martin Villalba, Tessa A. Lau, Ju...
ANOR
2011
175views more  ANOR 2011»
15 years 1 months ago
Integrated exact, hybrid and metaheuristic learning methods for confidentiality protection
A vital task facing government agencies and commercial organizations that report data is to represent the data in a meaningful way and simultaneously to protect the confidentialit...
Fred Glover, Lawrence H. Cox, Rahul Patil, James P...