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» Learning with Annotation Noise
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139
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COLT
1995
Springer
15 years 7 months ago
On Learning Bounded-Width Branching Programs
In this paper, we study PAC-leaming algorithms for specialized classes of deterministic finite automata (DFA). Inpartictdar, we study branchingprogrsms, and we investigate the int...
Funda Ergün, Ravi Kumar, Ronitt Rubinfeld
170
Voted
WWW
2010
ACM
15 years 11 months ago
Stop thinking, start tagging: tag semantics emerge from collaborative verbosity
Recent research provides evidence for the presence of emergent semantics in collaborative tagging systems. While several methods have been proposed, little is known about the fact...
Christian Körner, Dominik Benz, Andreas Hotho...
143
Voted
ECCV
2010
Springer
15 years 9 months ago
Localizing Objects while Learning Their Appearance
Learning a new object class from cluttered training images is very challenging when the location of object instances is unknown. Previous works generally require objects covering a...
NAACL
2007
15 years 5 months ago
Semi-Supervised Learning for Semantic Parsing using Support Vector Machines
We present a method for utilizing unannotated sentences to improve a semantic parser which maps natural language (NL) sentences into their formal meaning representations (MRs). Gi...
Rohit J. Kate, Raymond J. Mooney
152
Voted
CVPR
2012
IEEE
13 years 6 months ago
Learning shared body plans
We cast the problem of recognizing related categories as a unified learning and structured prediction problem with shared body plans. When provided with detailed annotations of o...
Ian Endres, Vivek Srikumar, Ming-Wei Chang, Derek ...