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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
TRS
2008
15 years 6 months ago
A Model of User-Oriented Reduct Construction for Machine Learning
An implicit assumption of many machine learning algorithms is that all attributes are of the same importance. An algorithm typically selects attributes based solely on their statis...
Yiyu Yao, Yan Zhao, Jue Wang, Suqing Han
SIGKDD
2000
139views more  SIGKDD 2000»
15 years 6 months ago
Support Vector Machines: Hype or Hallelujah?
Support Vector Machines (SVMs) and related kernel methods have become increasingly popular tools for data mining tasks such as classification, regression, and novelty detection. T...
Kristin P. Bennett, Colin Campbell
JCDL
2004
ACM
89views Education» more  JCDL 2004»
16 years 1 days ago
Machine learning for information architecture in a large governmental website
This paper describes ongoing research into the application of machine learning techniques for improving access to governmental information in complex digital libraries. Under the ...
Miles Efron, Jonathan L. Elsas, Gary Marchionini, ...
DAC
1996
ACM
15 years 10 months ago
Stochastic Sequential Machine Synthesis Targeting Constrained Sequence Generation
- The problem of stochastic sequential machines (SSM) synthesis is addressed and its relationship with the constrained sequence generation problem which arises during power estimat...
Diana Marculescu, Radu Marculescu, Massoud Pedram