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» Learning discrete categorial grammars from structures
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BMCBI
2008
228views more  BMCBI 2008»
13 years 7 months ago
Adaptive diffusion kernel learning from biological networks for protein function prediction
Background: Machine-learning tools have gained considerable attention during the last few years for analyzing biological networks for protein function prediction. Kernel methods a...
Liang Sun, Shuiwang Ji, Jieping Ye
CVPR
2009
IEEE
15 years 2 months ago
Unsupervised Learning of Hierarchical Spatial Structures In Images
The visual world demonstrates organized spatial patterns, among objects or regions in a scene, object-parts in an object, and low-level features in object-parts. These classes o...
Devi Parikh (Carnegie Mellon University), C. Lawre...
JCDL
2006
ACM
119views Education» more  JCDL 2006»
14 years 1 months ago
Learning from artifacts: metadata utilization analysis
Describes the MARC Content Designation Utilization Project, which is examining a very large set of metadata records as artifacts of the library cataloging enterprise. This is the ...
William E. Moen, Shawne D. Miksa, Amy Eklund, Serh...
CVPR
2006
IEEE
14 years 9 months ago
Hierarchical Statistical Learning of Generic Parts of Object Structure
With the growing interest in object categorization various methods have emerged that perform well in this challenging task, yet are inherently limited to only a moderate number of...
Sanja Fidler, Gregor Berginc, Ales Leonardis
CICLING
2003
Springer
14 years 23 days ago
Total Lexicalism and GASGrammars: A Direct Way to Semantics
A new sort of generative grammar (Sec2) will be demonstrated which is more radically “lexicalist” than any earlier one (Sec1). It is a modified Unification Categorial Gramma...
Gábor Alberti, Katalin Balogh, Judit Kleibe...