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» Unsupervised Feature Selection Using Feature Similarity
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DOCENG
2006
ACM
14 years 4 months ago
NEWPAR: an automatic feature selection and weighting schema for category ranking
Category ranking provides a way to classify plain text documents into a pre-determined set of categories. This work proposes to have a look at typical document collections and ana...
Fernando Ruiz-Rico, José Luis Vicedo Gonz&a...
IROS
2006
IEEE
163views Robotics» more  IROS 2006»
14 years 4 months ago
Attentional Landmark Selection for Visual SLAM
— In this paper, we introduce a new method to automatically detect useful landmarks for visual SLAM. A biologically motivated attention system detects regions of interest which ...
Simone Frintrop, Patric Jensfelt, Henrik I. Christ...
IWANN
2005
Springer
14 years 3 months ago
Heuristic Search over a Ranking for Feature Selection
In this work, we suggest a new feature selection technique that lets us use the wrapper approach for finding a well suited feature set for distinguishing experiment classes in hig...
Roberto Ruiz, José Cristóbal Riquelm...
ICML
2003
IEEE
14 years 11 months ago
Feature Selection for High-Dimensional Data: A Fast Correlation-Based Filter Solution
Feature selection, as a preprocessing step to machine learning, has been effective in reducing dimensionality, removing irrelevant data, increasing learning accuracy, and improvin...
Lei Yu, Huan Liu
CIARP
2004
Springer
14 years 3 months ago
Unsupervised Learning of Ontology-Linked Selectional Preferences
We present a method for extracting selectional preferences of verbs from unannotated text. These selectional preferences are linked to an ontology (e.g. the hypernym relations foun...
Hiram Calvo, Alexander F. Gelbukh