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» PicoDBMS: Validation and Experience
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IVC
2002
97views more  IVC 2002»
14 years 10 months ago
A neural approach to zoom-lens camera calibration from data with outliers
Camera systems with zoom lenses are inherently more useful than those with passive lenses due to their flexibility and controllability. However, their calibration raises several c...
Moumen T. Ahmed, Aly A. Farag
82
Voted
JMLR
2002
102views more  JMLR 2002»
14 years 10 months ago
Efficient Algorithms for Decision Tree Cross-validation
Cross-validation is a useful and generally applicable technique often employed in machine learning, including decision tree induction. An important disadvantage of straightforward...
Hendrik Blockeel, Jan Struyf
ML
2002
ACM
145views Machine Learning» more  ML 2002»
14 years 10 months ago
Boosting Methods for Regression
In this paper we examine ensemble methods for regression that leverage or "boost" base regressors by iteratively calling them on modified samples. The most successful lev...
Nigel Duffy, David P. Helmbold
86
Voted
PAAPP
2002
150views more  PAAPP 2002»
14 years 10 months ago
Scalability analysis of parallel GMRES implementations
Applications involving large sparse nonsymmetric linear systems encourage parallel implementations of robust iterative solution methods, such as GMRES(k). Two parallel versions of...
Masha Sosonkina, Donald C. S. Allison, Layne T. Wa...
110
Voted
PE
2002
Springer
124views Optimization» more  PE 2002»
14 years 10 months ago
Continuous-time hidden Markov models for network performance evaluation
In this paper, we study the use of continuous-time hidden Markov models (CT-HMMs) for network protocol and application performance evaluation. We develop an algorithm to infer the...
Wei Wei, Bing Wang, Donald F. Towsley