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» A New Selection Ratio for Large Population Sizes
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EOR
2007
165views more  EOR 2007»
13 years 8 months ago
Adaptive credit scoring with kernel learning methods
Credit scoring is a method of modelling potential risk of credit applications. Traditionally, logistic regression, linear regression and discriminant analysis are the most popular...
Yingxu Yang
BMCBI
2011
13 years 1 days ago
To aggregate or not to aggregate high-dimensional classifiers
Background: High-throughput functional genomics technologies generate large amount of data with hundreds or thousands of measurements per sample. The number of sample is usually m...
Cheng-Jian Xu, Huub C. J. Hoefsloot, Age K. Smilde
CGO
2003
IEEE
14 years 1 months ago
Addressing Mode Selection
Many processor architectures provide a set of addressing modes in their address generation units. For example DSPs (digital signal processors) have powerful addressing modes for e...
Erik Eckstein, Bernhard Scholz
CVPR
2009
IEEE
15 years 3 months ago
An Instance Selection Approach to Multiple Instance Learning
Multiple-instance Learning (MIL) is a new paradigm of supervised learning that deals with the classification of bags. Each bag is presented as a collection of instances from whi...
Zhouyu Fu (Australian National University), Antoni...
ASPLOS
2004
ACM
14 years 1 months ago
Scalable selective re-execution for EDGE architectures
Pipeline flushes are becoming increasingly expensive in modern microprocessors with large instruction windows and deep pipelines. Selective re-execution is a technique that can r...
Rajagopalan Desikan, Simha Sethumadhavan, Doug Bur...