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120
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ACL
1994
15 years 3 months ago
1994
This paper shows how to formally characterize language learning in a finite parameter space as a Markov structure, hnportant new language learning results follow directly: explici...
125
Voted
KDD
2007
ACM
16 years 2 months ago
2007
ACM
In many data mining applications, online labeling feedback is only available for examples which were predicted to belong to the positive class. Such applications include spam filt...
105
Voted
ALT
2004
Springer
15 years 11 months ago
2004
Springer
In this paper we introduce a paradigm for learning in the limit of potentially infinite languages from all positive data and negative counterexamples provided in response to the ...
123
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OOPSLA
2009
Springer
15 years 9 months ago
2009
Springer
Programs written in managed languages are compiled to a platform-independent intermediate representation, such as Java bytecode. The relative high level of Java bytecode has engen...
135
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MM
2009
ACM
15 years 9 months ago
2009
ACM
In this work, we investigate how to automatically reassign the manually annotated labels at the image-level to those contextually derived semantic regions. First, we propose a bi-...