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ECML
2006
Springer
15 years 10 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»
15 years 4 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...
GRAMMARS
2002
119views more  GRAMMARS 2002»
15 years 6 months ago
Computational Complexity of Probabilistic Disambiguation
Recent models of natural language processing employ statistical reasoning for dealing with the ambiguity of formal grammars. In this approach, statistics, concerning the various li...
Khalil Sima'an
BMCBI
2011
14 years 10 months ago
Elastic SCAD as a novel penalization method for SVM classification tasks in high-dimensional data
Background: Classification and variable selection play an important role in knowledge discovery in highdimensional data. Although Support Vector Machine (SVM) algorithms are among...
Natalia Becker, Grischa Toedt, Peter Lichter, Axel...
HPCA
2007
IEEE
16 years 6 months ago
Colorama: Architectural Support for Data-Centric Synchronization
With the advent of ubiquitous multi-core architectures, a major challenge is to simplify parallel programming. One way to tame one of the main sources of programming complexity, n...
Luis Ceze, Pablo Montesinos, Christoph von Praun, ...