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NIPS
2007
15 years 3 months ago
A Randomized Algorithm for Large Scale Support Vector Learning
This paper investigates the application of randomized algorithms for large scale SVM learning. The key contribution of the paper is to show that, by using ideas random projections...
Krishnan Kumar, Chiru Bhattacharyya, Ramesh Hariha...
PROMISE
2010
14 years 9 months ago
On the value of learning from defect dense components for software defect prediction
BACKGROUND: Defect predictors learned from static code measures can isolate code modules with a higher than usual probability of defects. AIMS: To improve those learners by focusi...
Hongyu Zhang, Adam Nelson, Tim Menzies
ICFP
2010
ACM
15 years 3 months ago
Experience report: growing programming languages for beginning students
A student learning how to program learns best when the programming language and programming environment cater to her specific needs. These needs are different from the requirement...
Marcus Crestani, Michael Sperber
APCHI
1998
IEEE
15 years 6 months ago
The Design of Banking Websites: Lessons from Iterative Design
Iterative design is usually considered in the context of prototyping, evaluating, and improving a single product. We had the interesting opportunity to work on three distinct prod...
Tom Brinck, Darren Gergle
WAIM
2010
Springer
15 years 7 months ago
Semi-supervised Learning from Only Positive and Unlabeled Data Using Entropy
Abstract. The problem of classification from positive and unlabeled examples attracts much attention currently. However, when the number of unlabeled negative examples is very sma...
Xiaoling Wang, Zhen Xu, Chaofeng Sha, Martin Ester...