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JMLR
2006
150views more  JMLR 2006»
13 years 9 months ago
Building Support Vector Machines with Reduced Classifier Complexity
Support vector machines (SVMs), though accurate, are not preferred in applications requiring great classification speed, due to the number of support vectors being large. To overc...
S. Sathiya Keerthi, Olivier Chapelle, Dennis DeCos...
CANDC
2009
ACM
14 years 4 months ago
Creativity factor evaluation: towards a standardized survey metric for creativity support
We present a new survey metric, the Creativity Support Index (CSI) that is designed to help researchers and designers evaluate the level of creativity support provided by various ...
Erin A. Carroll, Celine Latulipe, Richard Fung, Mi...
ASWEC
2006
IEEE
14 years 3 months ago
Evaluating software refactoring tool support
Up to 75% of the costs associated with the development of software systems occur post-deployment during maintenance and evolution. Software refactoring is a process which can sign...
Erica Mealy, Paul A. Strooper
ACMICEC
2006
ACM
217views ECommerce» more  ACMICEC 2006»
14 years 3 months ago
Adaptive decision support system (ADSS) for B2C e-commerce
This paper covers the research problem of supporting users' decision making in E-Commerce systems with complex choices, and design of an Adaptive Decision Support System (ADS...
Faisal Al-Qaed, Alistair G. Sutcliffe
PAKDD
2005
ACM
111views Data Mining» more  PAKDD 2005»
14 years 3 months ago
Training Support Vector Machines Using Greedy Stagewise Algorithm
Abstract. Hard margin support vector machines (HM-SVMs) have a risk of getting overfitting in the presence of the noise. Soft margin SVMs deal with this
Liefeng Bo, Ling Wang, Licheng Jiao