167 search results - page 13 / 34 » Bayesian Classification and Feature Selection from Finite Da... |
87
Voted
DAGSTUHL
2009
14 years 10 months ago
2009
The selection of features that are relevant for a prediction or classification problem is an important problem in many domains involving high-dimensional data. Selecting features h...
ACL
2009
14 years 7 months ago
2009
In text categorization, feature selection (FS) is a strategy that aims at making text classifiers more efficient and accurate. However, when dealing with a new task, it is still d...
IJCV
2008
14 years 9 months ago
2008
This paper shows (i) improvements over state-of-the-art local feature recognition systems, (ii) how to formulate principled models for automatic local feature selection in object c...
EMNLP
2010
14 years 7 months ago
2010
The problem of automatically classifying the gender of a blog author has important applications in many commercial domains. Existing systems mainly use features such as words, wor...
69
Voted
CIARP
2006
Springer
15 years 1 months ago
2006
Springer
Feature selection is a critical procedure in many pattern recognition applications. There are two distinct mechanisms for feature selection namely the wrapper methods and the filte...