4085 search results - page 577 / 817 » Benchmarking Data Mining Algorithms |
217
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KDD
2010
ACM
15 years 11 months ago
2010
ACM
In multi-label learning, each training example is associated with a set of labels and the task is to predict the proper label set for the unseen example. Due to the tremendous (ex...
161
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KDD
1995
ACM
15 years 10 months ago
1995
ACM
The quest to nd models usefully characterizing data is a process central to the scienti c method, and has been carried out on many fronts. Researchers from an expanding number of ...
204
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SDM
2008
SIAM
15 years 8 months ago
2008
SIAM
The rigid all-versus-all adjacency required by a maximal biclique for its two vertex sets is extremely vulnerable to missing data. In the past, several types of quasi-bicliques ha...
212
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PKDD
2010
Springer
15 years 5 months ago
2010
Springer
Abstract. Bayesian reinforcement learning (RL) is aimed at making more efficient use of data samples, but typically uses significantly more computation. For discrete Markov Decis...
204
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EDM
2009
15 years 4 months ago
2009
E-Learning systems offer students innovative and attractive ways of learning through augmentation or substitution of traditional lectures and exercises with online learning materia...