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JMLR
2006
156views more  JMLR 2006»
13 years 7 months ago
Large Scale Multiple Kernel Learning
While classical kernel-based learning algorithms are based on a single kernel, in practice it is often desirable to use multiple kernels. Lanckriet et al. (2004) considered conic ...
Sören Sonnenburg, Gunnar Rätsch, Christi...
INFORMS
2010
177views more  INFORMS 2010»
13 years 6 months ago
Binarized Support Vector Machines
The widely used Support Vector Machine (SVM) method has shown to yield very good results in Supervised Classification problems. Other methods such as Classification Trees have bec...
Emilio Carrizosa, Belen Martin-Barragan, Dolores R...
KDD
2005
ACM
125views Data Mining» more  KDD 2005»
14 years 8 months ago
Email data cleaning
Addressed in this paper is the issue of `email data cleaning' for text mining. Many text mining applications need take emails as input. Email data is usually noisy and thus i...
Jie Tang, Hang Li, Yunbo Cao, ZhaoHui Tang
ILP
2007
Springer
14 years 1 months ago
Using ILP to Construct Features for Information Extraction from Semi-structured Text
Machine-generated documents containing semi-structured text are rapidly forming the bulk of data being stored in an organisation. Given a feature-based representation of such data,...
Ganesh Ramakrishnan, Sachindra Joshi, Sreeram Bala...
KDD
2000
ACM
222views Data Mining» more  KDD 2000»
13 years 11 months ago
Interactive exploration of very large relational datasets through 3D dynamic projections
The grand tour, one of the most popular methods for multidimensional data exploration, is based on orthogonally projecting multidimensional data to a sequence of lower dimensional...
Li Yang