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106
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BIOINFORMATICS
2004
59views more  BIOINFORMATICS 2004»
15 years 3 months ago
Efficient selection of unique and popular oligos for large EST databases
EST databases have grown exponentially in recent years and now represent the largest collection of genetic sequences. An important application of these databases is that they conta...
Jie Zheng, Timothy J. Close, Tao Jiang, Stefano Lo...
237
Voted
ICDE
2008
IEEE
178views Database» more  ICDE 2008»
16 years 5 months ago
On the Optimal Selection of k in the k-Anonymity Problem
When disseminating data involving human subjects, researchers have to weigh in the requirements of privacy of the individuals involved in the data. A model widely used for enhancin...
Rinku Dewri, Indrajit Ray, Indrakshi Ray, Darrell ...
113
Voted
ICPR
2002
IEEE
16 years 4 months ago
Prototype Selection for Finding Efficient Representations of Dissimilarity Data
The nearest neighbor (NN) rule is a simple and intuitive method for solving classification problems. Originally, it uses distances to the complete training set. It performs well, ...
Elzbieta Pekalska, Robert P. W. Duin
144
Voted
COSIT
2003
Springer
132views GIS» more  COSIT 2003»
15 years 9 months ago
"Simplest" Paths: Automated Route Selection for Navigation
Numerous cognitive studies have indicated that the form and complexity of route instructions may be as important to human navigators as the overall length of route. Most automated ...
Matt Duckham, Lars Kulik
131
Voted
NIPS
2007
15 years 5 months ago
Direct Importance Estimation with Model Selection and Its Application to Covariate Shift Adaptation
A situation where training and test samples follow different input distributions is called covariate shift. Under covariate shift, standard learning methods such as maximum likeli...
Masashi Sugiyama, Shinichi Nakajima, Hisashi Kashi...