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» Algorithms for Index-Assisted Selectivity Estimation
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115
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VLDB
1991
ACM
135views Database» more  VLDB 1991»
15 years 4 months ago
A Framework for Automating Physical Database Design
We propose a two-pha.se algorithm for physical database design. In phase one the algorithm, for each logical query, losesrules to determine characteristics of a physical design (s...
Steve Rozen, Dennis Shasha
106
Voted
ICPR
2006
IEEE
16 years 1 months ago
Boosted Band Ratio Feature Selection for Hyperspectral Image Classification
Band ratios have many useful applications in hyperspectral image analysis. While optimal ratios have been chosen empirically in previous research, we propose a principled algorith...
Antonio Robles-Kelly, Nianjun Liu, Terry Caelli, Z...
GECCO
2008
Springer
137views Optimization» more  GECCO 2008»
15 years 1 months ago
Informative sampling for large unbalanced data sets
Selective sampling is a form of active learning which can reduce the cost of training by only drawing informative data points into the training set. This selected training set is ...
Zhenyu Lu, Anand I. Rughani, Bruce I. Tranmer, Jos...
ICML
2009
IEEE
16 years 1 months ago
Robust bounds for classification via selective sampling
We introduce a new algorithm for binary classification in the selective sampling protocol. Our algorithm uses Regularized Least Squares (RLS) as base classifier, and for this reas...
Nicolò Cesa-Bianchi, Claudio Gentile, Franc...
119
Voted
ICASSP
2009
IEEE
15 years 7 months ago
Microarray classification using block diagonal linear discriminant analysis with embedded feature selection
In this paper, block diagonal linear discriminant analysis (BDLDA) is improved and applied to gene expression data. BDLDA is a classification tool with embedded feature selection...
Lingyan Sheng, Roger Pique-Regi, Shahab Asgharzade...