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129
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ICML
2010
IEEE
15 years 3 months ago
From Transformation-Based Dimensionality Reduction to Feature Selection
Many learning applications are characterized by high dimensions. Usually not all of these dimensions are relevant and some are redundant. There are two main approaches to reduce d...
Mahdokht Masaeli, Glenn Fung, Jennifer G. Dy
IVC
2008
182views more  IVC 2008»
15 years 2 months ago
Ontology based complex object recognition
This paper presents an object categorization method. Our approach involves the following aspects of cognitive vision : machine learning and knowledge representation. A major eleme...
Nicolas Maillot, Monique Thonnat
131
Voted
NIPS
2000
15 years 4 months ago
Discovering Hidden Variables: A Structure-Based Approach
A serious problem in learning probabilistic models is the presence of hidden variables. These variables are not observed, yet interact with several of the observed variables. As s...
Gal Elidan, Noam Lotner, Nir Friedman, Daphne Koll...
121
Voted
HICSS
2005
IEEE
144views Biometrics» more  HICSS 2005»
15 years 8 months ago
Learning with Weblogs: An Empirical Investigation
The study investigates the impact of weblog use on individual learning in a university environment. Weblogs are a relatively new knowledge sharing technology, which enables people...
Helen S. Du, Christian Wagner
110
Voted
IJCNN
2007
IEEE
15 years 9 months ago
Transfer Learning in Decision Trees
— Most research in machine learning focuses on scenarios in which a learner faces a single learning task, independently of other learning tasks or prior knowledge. In reality, ho...
Jun Won Lee, Christophe G. Giraud-Carrier