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175
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KDD
2005
ACM
16 years 7 months ago
2005
ACM
Clustering is the problem of identifying the distribution of patterns and intrinsic correlations in large data sets by partitioning the data points into similarity classes. This p...
175
Voted
KDD
2004
ACM
16 years 7 months ago
2004
ACM
Past empirical work has shown that learning multiple related tasks from data simultaneously can be advantageous in terms of predictive performance relative to learning these tasks...
161
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KDD
2004
ACM
16 years 7 months ago
2004
ACM
Procedures for collective inference make simultaneous statistical judgments about the same variables for a set of related data instances. For example, collective inference could b...
159
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KDD
2004
ACM
16 years 7 months ago
2004
ACM
The goal of this paper is to show that generalizing the notion of support can be useful in extending association analysis to non-traditional types of patterns and non-binary data....
293
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POPL
2006
ACM
16 years 7 months ago
2006
ACM
We propose a type system based on regular tree grammars, where algebraic datatypes are interpreted in a structural way. Thus, the same constructors can be reused for different typ...