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AAAI
2012
12 years 11 months 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»
12 years 11 months 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
92
Voted
SDM
2011
SIAM
242views Data Mining» more  SDM 2011»
13 years 11 months 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 satisfiability checking. For example, ext...
Roberto J. Bayardo, Biswanath Panda
88
Voted
CHI
2011
ACM
14 years 11 days 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