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» Learning Generative Models via Discriminative Approaches
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AROBOTS
2011
13 years 3 months ago
Learning GP-BayesFilters via Gaussian process latent variable models
Abstract— GP-BayesFilters are a general framework for integrating Gaussian process prediction and observation models into Bayesian filtering techniques, including particle filt...
Jonathan Ko, Dieter Fox
ITC
2003
IEEE
114views Hardware» more  ITC 2003»
14 years 2 months ago
Test-Based Model Generation For Legacy Systems
We study the extension of applicability of system-level testing techniques to the construction of a consistent model of (legacy) systems under test, which are seen as black boxes....
Hardi Hungar, Tiziana Margaria, Bernhard Steffen
IJCNN
2006
IEEE
14 years 2 months ago
Model Selection via Bilevel Optimization
— A key step in many statistical learning methods used in machine learning involves solving a convex optimization problem containing one or more hyper-parameters that must be sel...
Kristin P. Bennett, Jing Hu, Xiaoyun Ji, Gautam Ku...
KDD
2003
ACM
146views Data Mining» more  KDD 2003»
14 years 9 months ago
Style mining of electronic messages for multiple authorship discrimination: first results
This paper considers the use of computational stylistics for performing authorship attribution of electronic messages, addressing categorization problems with as many as 20 differ...
Shlomo Argamon, Marin Saric, Sterling Stuart Stein
ICSE
2004
IEEE-ACM
14 years 9 months ago
Finding Latent Code Errors via Machine Learning over Program Executions
This paper proposes a technique for identifying program properties that indicate errors. The technique generates machine learning models of program properties known to result from...
Yuriy Brun, Michael D. Ernst