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IDA
2005
Springer
16 years 5 days ago
Bayesian Networks Learning for Gene Expression Datasets
DNA arrays yield a global view of gene expression and can be used to build genetic networks models, in order to study relations between genes. Literature proposes Bayesian network ...
Giacomo Gamberoni, Evelina Lamma, Fabrizio Riguzzi...
PRICAI
2004
Springer
16 years 8 hour ago
Power of Brute-Force Search in Strongly-Typed Inductive Functional Programming Automation
Abstract. A successful case of applying brute-force search to functional programming automation is presented and compared with a conventional genetic programming method. From the i...
Susumu Katayama
GECCO
2007
Springer
184views Optimization» more  GECCO 2007»
15 years 10 months ago
Evolving kernels for support vector machine classification
While support vector machines (SVMs) have shown great promise in supervised classification problems, researchers have had to rely on expert domain knowledge when choosing the SVM&...
Keith Sullivan, Sean Luke
ALGORITHMICA
2008
79views more  ALGORITHMICA 2008»
15 years 6 months ago
Practical Methods for Shape Fitting and Kinetic Data Structures using Coresets
The notion of -kernel was introduced by Agarwal et al. [5] to set up a unified framework for computing various extent measures of a point set P approximately. Roughly speaking, a ...
Hai Yu, Pankaj K. Agarwal, Raghunath Poreddy, Kast...
ERSA
2010
152views Hardware» more  ERSA 2010»
15 years 4 months ago
Persistent CAD for in-the-field Power Optimization
A major focus within the Integrated Chip (IC) industry is reducing power consumption of devices. In this paper, we explore the idea of persistent CAD algorithms that constantly imp...
Peter Jamieson