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EC
2006
121views ECommerce» more  EC 2006»
13 years 10 months ago
A Study of Structural and Parametric Learning in XCS
The performance of a learning classifier system is due to its two main components. First, it evolves new structures by generating new rules in a genetic process; second, it adjust...
Tim Kovacs, Manfred Kerber
ICAC
2007
IEEE
14 years 4 months ago
Adaptive Learning of Metric Correlations for Temperature-Aware Database Provisioning
This paper introduces a transparent self-configuring architecture for automatic scaling with temperature awareness in the database tier of a dynamic content web server. We use a ...
Saeed Ghanbari, Gokul Soundararajan, Jin Chen, Cri...
POPL
2010
ACM
14 years 5 months ago
Ypnos: declarative, parallel structured grid programming
A fully automatic, compiler-driven approach to parallelisation can result in unpredictable time and space costs for compiled code. On the other hand, a fully manual approach to pa...
Dominic A. Orchard, Max Bolingbroke, Alan Mycroft
BMCBI
2008
114views more  BMCBI 2008»
13 years 10 months ago
Combining classifiers for improved classification of proteins from sequence or structure
Background: Predicting a protein's structural or functional class from its amino acid sequence or structure is a fundamental problem in computational biology. Recently, there...
Iain Melvin, Jason Weston, Christina S. Leslie, Wi...
JMLR
2008
110views more  JMLR 2008»
13 years 10 months ago
Cross-Validation Optimization for Large Scale Structured Classification Kernel Methods
We propose a highly efficient framework for penalized likelihood kernel methods applied to multiclass models with a large, structured set of classes. As opposed to many previous a...
Matthias W. Seeger