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» Learning Overcomplete Representations
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ACL
2010
14 years 11 months ago
Word Representations: A Simple and General Method for Semi-Supervised Learning
Joseph P. Turian, Lev-Arie Ratinov, Yoshua Bengio
CVPR
2011
IEEE
14 years 9 months ago
Sparse Image Representation with Epitomes
Sparse coding, which is the decomposition of a vector using only a few basis elements, is widely used in machine learning and image processing. The basis set, also called dictiona...
Louise Benoit, Julien Mairal, Francis Bach, Jean P...
83
Voted
AAAI
2000
15 years 2 months ago
Modeling Classification and Inference Learning
Human categorization research is dominated by work in classification learning. The field may be in danger of equating the classification learning paradigm with the more general ph...
Bradley C. Love, Arthur B. Markman, Takashi Yamauc...
106
Voted
CINQ
2004
Springer
123views Database» more  CINQ 2004»
15 years 6 months ago
One-Sided Instance-Based Boundary Sets
Abstract. Instance retraction is a difficult problem for concept learning by version spaces. This chapter introduces a family of version-space representations called one-sided inst...
Evgueni N. Smirnov, Ida G. Sprinkhuizen-Kuyper, H....