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AAAI
2012
10 years 2 days ago
Multi-Label Learning by Exploiting Label Correlations Locally
It is well known that exploiting label correlations is important for multi-label learning. Existing approaches typically exploit label correlations globally, by assuming that the ...
Sheng-Jun Huang, Zhi-Hua Zhou
KDD
2012
ACM
190views Data Mining» more  KDD 2012»
10 years 4 days ago
Multi-label hypothesis reuse
Multi-label learning arises in many real-world tasks where an object is naturally associated with multiple concepts. It is well-accepted that, in order to achieve a good performan...
Sheng-Jun Huang, Yang Yu, Zhi-Hua Zhou
SDM
2011
SIAM
242views Data Mining» more  SDM 2011»
11 years 15 days ago
Fast Algorithms for Finding Extremal Sets
Identifying the extremal (minimal and maximal) sets from a collection of sets is an important subproblem in the areas of data-mining and satis´Čüability checking. For example, ext...
Roberto J. Bayardo, Biswanath Panda
CHI
2011
ACM
11 years 1 months ago
Active reading and its discontents: the situations, problems and ideas of readers
The increasing popularity of personal reading devices raises the question of how best to support so-called active reading, which involves acts like annotation, note taking, etc. P...
Craig S. Tashman, W. Keith Edwards
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