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» Gender Classification Using Support Vector Machines
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MLDM
2007
Springer
15 years 11 months ago
A Novel Rule Ordering Approach in Classification Association Rule Mining
A Classification Association Rule (CAR), a common type of mined knowledge in Data Mining, describes an implicative co-occurring relationship between a set of binary-valued data-att...
Yanbo J. Wang, Qin Xin, Frans Coenen
PKDD
2009
Springer
135views Data Mining» more  PKDD 2009»
15 years 11 months ago
Syntactic Structural Kernels for Natural Language Interfaces to Databases
A core problem in data mining is to retrieve data in a easy and human friendly way. Automatically translating natural language questions into SQL queries would allow for the design...
Alessandra Giordani, Alessandro Moschitti
ICML
2008
IEEE
16 years 5 months ago
Robust matching and recognition using context-dependent kernels
The success of kernel methods including support vector machines (SVMs) strongly depends on the design of appropriate kernels. While initially kernels were designed in order to han...
Hichem Sahbi, Jean-Yves Audibert, Jaonary Rabariso...
ICML
2009
IEEE
16 years 5 months ago
Semi-supervised learning using label mean
Semi-Supervised Support Vector Machines (S3VMs) typically directly estimate the label assignments for the unlabeled instances. This is often inefficient even with recent advances ...
Yu-Feng Li, James T. Kwok, Zhi-Hua Zhou
BMCBI
2006
153views more  BMCBI 2006»
15 years 4 months ago
Automatic document classification of biological literature
Background: Document classification is a wide-spread problem with many applications, from organizing search engine snippets to spam filtering. We previously described Textpresso, ...
David Chen, Hans-Michael Müller, Paul W. Ster...