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133
Voted
TOIS
2010
15 years 2 months ago
2010
We propose a new unsupervised learning technique for extracting information about authors and topics from large text collections. We model documents as if they were generated by a...
109
Voted
INFORMS
2007
15 years 3 months ago
2007
It has been shown in prior work in management science, statistics and machine learning that using an ensemble of models often results in better performance than using a single ‘...
180
Voted
Publication
Providing methods to support semantic interaction with growing volumes of video data is an increasingly important challenge for data mining. To this end, there has been some succes...
136
Voted
WSDM
2010
ACM
16 years 1 months ago
2010
ACM
In information retrieval, relevance of documents with respect to queries is usually judged by humans, and used in evaluation and/or learning of ranking functions. Previous work ha...
154
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MLDM
2009
Springer
15 years 10 months ago
2009
Springer
We face the problem of novelty detection from stream data, that is, the identification of new or unknown situations in an ordered sequence of objects which arrive on-line, at cons...