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» Dimensionality Reduction for Text using Domain Knowledge
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CVPR
2008
IEEE
15 years 11 months ago
A unified framework for generalized Linear Discriminant Analysis
Linear Discriminant Analysis (LDA) is one of the wellknown methods for supervised dimensionality reduction. Over the years, many LDA-based algorithms have been developed to cope w...
Shuiwang Ji, Jieping Ye
ICML
2006
IEEE
15 years 10 months ago
Constructing informative priors using transfer learning
Many applications of supervised learning require good generalization from limited labeled data. In the Bayesian setting, we can try to achieve this goal by using an informative pr...
Rajat Raina, Andrew Y. Ng, Daphne Koller
KDD
2008
ACM
199views Data Mining» more  KDD 2008»
15 years 10 months ago
Building semantic kernels for text classification using wikipedia
Document classification presents difficult challenges due to the sparsity and the high dimensionality of text data, and to the complex semantics of the natural language. The tradi...
Pu Wang, Carlotta Domeniconi
ICFHR
2010
117views Biometrics» more  ICFHR 2010»
14 years 4 months ago
A Medical Knowledge Based Postprocessing Approach for Doctor's Handwriting Recognition
In this paper, we propose a novel postprocessing approach for on-line handwriting recognition. Differing from the existing linguistic knowledge-based methods, we make use of domai...
Qi Chen, Tianxia Gong, Linlin Li, Chew Lim Tan, Bo...
EUROPLOP
2006
14 years 11 months ago
Meta-Specification and Cataloging of Software Patterns with Domain Specific Languages and Adaptive Object Models
Writing patterns is a very important task for leveraging knowledge within an organization or in the software engineering community as a whole. Patterns are more than text, diagram...
León Welicki, Juan Manuel Cueva Lovelle, Lu...