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» Constraint Programming for Data Mining and Machine Learning
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KDD
2007
ACM
197views Data Mining» more  KDD 2007»
16 years 2 months ago
Learning the kernel matrix in discriminant analysis via quadratically constrained quadratic programming
The kernel function plays a central role in kernel methods. In this paper, we consider the automated learning of the kernel matrix over a convex combination of pre-specified kerne...
Jieping Ye, Shuiwang Ji, Jianhui Chen
KDD
2009
ACM
215views Data Mining» more  KDD 2009»
16 years 2 months ago
Large-scale sparse logistic regression
Logistic Regression is a well-known classification method that has been used widely in many applications of data mining, machine learning, computer vision, and bioinformatics. Spa...
Jun Liu, Jianhui Chen, Jieping Ye
PKDD
2009
Springer
269views Data Mining» more  PKDD 2009»
15 years 8 months ago
Enhanced Web Page Content Visualization with Firefox
This paper aims at presenting how natural language processing and machine learning techniques can help the internet surfer to get a better overview of the pages he is reading. The ...
Lorand Dali, Delia Rusu, Dunja Mladenic
ICMLA
2010
14 years 12 months ago
Boosting Multi-Task Weak Learners with Applications to Textual and Social Data
Abstract--Learning multiple related tasks from data simultaneously can improve predictive performance relative to learning these tasks independently. In this paper we propose a nov...
Jean Baptiste Faddoul, Boris Chidlovskii, Fabien T...
KBSE
2005
IEEE
15 years 7 months ago
Timna: a framework for automatically combining aspect mining analyses
To realize the benefits of Aspect Oriented Programming (AOP), developers must refactor active and legacy code bases into an AOP language. When refactoring, developers first need...
David Shepherd, Jeffrey Palm, Lori L. Pollock, Mar...