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» Making inferences with small numbers of training sets
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WSC
1998
13 years 10 months ago
Sequential Allocations that Reduce Risk for Multiple Comparisons
We consider how to efficiently allocate computing resources in order to infer the best of a finite set of simulated systems, where best means that the system has the maximal expec...
Stephen E. Chick, Koichiro Inoue
BIOINFORMATICS
2004
83views more  BIOINFORMATICS 2004»
13 years 8 months ago
Haplotypes histories as pathways of recombinations
Motivation: The diversity of a haplotype, represented as a string of polymorphic sites along a DNA sequence, increases exponentially with the number of sites if recombinations are...
Nadia El-Mabrouk, Damian Labuda
BMCBI
2008
141views more  BMCBI 2008»
13 years 9 months ago
MiRTif: a support vector machine-based microRNA target interaction filter
Background: MicroRNAs (miRNAs) are a set of small non-coding RNAs serving as important negative gene regulators. In animals, miRNAs turn down protein translation by binding to the...
Yuchen Yang, Yu-Ping Wang, Kuo-Bin Li
CVPR
2010
IEEE
14 years 5 months ago
Visual Event Recognition in Videos by Learning from Web Data
We propose a visual event recognition framework for consumer domain videos by leveraging a large amount of loosely labeled web videos (e.g., from YouTube). First, we propose a new...
Lixin Duan, Dong Xu, Wai-Hung Tsang, Jiebo Luo
HICSS
2009
IEEE
144views Biometrics» more  HICSS 2009»
14 years 3 months ago
Privacy Preserving Decision Tree Mining from Perturbed Data
Privacy preserving data mining has been investigated extensively. The previous works mainly fall into two categories, perturbation and randomization based approaches and secure mu...
Li Liu, Murat Kantarcioglu, Bhavani M. Thuraisingh...