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» Classifier Selection Based on Data Complexity Measures
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ECML
2006
Springer
15 years 5 months ago
Unsupervised Multiple-Instance Learning for Functional Profiling of Genomic Data
Multiple-instance learning (MIL) is a popular concept among the AI community to support supervised learning applications in situations where only incomplete knowledge is available....
Corneliu Henegar, Karine Clément, Jean-Dani...
WKDD
2010
CPS
238views Data Mining» more  WKDD 2010»
14 years 11 months ago
3D Scientific Data Mining in Ion Trajectories
In physics, structure of glass and ion trajectories are essentially based on statistical analysis of data acquired through experimental measurement and computer simulation [1, 2]. ...
J. M. Sharif, M. Mahadi Abdul Jamil, Md. Asri Ngad...
IJON
2002
84views more  IJON 2002»
15 years 1 months ago
On the generative probability density model in the self-organizing map
The Self-Organizing Map, SOM, is a widely used tool in exploratory data analysis. A major drawback of the SOM has been the lack of a theoretically justified criterion for model se...
Timo Kostiainen, Jouko Lampinen
AFRICACRYPT
2010
Springer
15 years 5 months ago
Practical Improvements of Profiled Side-Channel Attacks on a Hardware Crypto-Accelerator
Abstract. This article investigates the relevance of the theoretical framework on profiled side-channel attacks presented by F.-X. Standaert et al. at Eurocrypt 2009. The analyses ...
M. Abdelaziz Elaabid, Sylvain Guilley
ICPR
2004
IEEE
16 years 2 months ago
Efficient Calculation of the Complete Optimal Classification Set
Feature and structure selection is an important part of many classification problems. In previous papers, an approach called basis pursuit classification has been proposed which p...
Martin Brown, Nicholas Costen, Shigeru Akamatsu