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148
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ECML
2004
Springer
15 years 8 months ago
2004
Springer
The standard framework of machine learning problems assumes that the available data is independent and identically distributed (i.i.d.). However, in some applications such as image...
141
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PAMI
1998
15 years 3 months ago
1998
—This paper concerns an efficient algorithm for learning in the limit a special type of regular languages called strictly locally testable languages from positive data, and its a...
161
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ACML
2009
Springer
15 years 8 months ago
2009
Springer
A fundamental assumption for any machine learning task is to have training and test data instances drawn from the same distribution while having a sufficiently large number of tra...
134
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ML
2006
ACM
15 years 9 months ago
2006
ACM
Existing ML-like languages guarantee type-safety, ensuring memty and protecting the invariants of abstract types, but only within single executions of single programs. Distributed...
133
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KDD
2008
ACM
16 years 3 months ago
2008
ACM
Contextual advertising on web pages has become very popular recently and it poses its own set of unique text mining challenges. Often advertisers wish to either target (or avoid) ...