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KDD
2012
ACM
190views Data Mining» more  KDD 2012»
13 years 8 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
CISS
2010
IEEE
14 years 9 months ago
Self-organizing Dynamic Fractional Frequency Reuse on the uplink of OFDMA systems
Reverse link (or uplink) performance of cellular systems is becoming increasingly important with the emergence of new uplink-bandwidth intensive applications such as Video Share [...
Balaji Rengarajan, Alexander L. Stolyar, Harish Vi...
HICSS
2008
IEEE
108views Biometrics» more  HICSS 2008»
16 years 16 days ago
Free-Riding and Competition in Network Markets for Digital Goods
— We present a continuous, stochastic model — the first of its kind — for the monetary flow in multi-level markets allowing for the quantitative assessment of the incentive...
Andreas U. Schmidt
135
Voted
ISPW
2009
IEEE
16 years 21 days ago
On the Relative Merits of Software Reuse
Abstract. Using process simulation and AI search methods, we compare software reuse against other possible changes to a project. such as reducing functionality or improving the ski...
Andres S. Orrego, Tim Menzies, Oussama El-Rawas
AUSDM
2007
Springer
193views Data Mining» more  AUSDM 2007»
16 years 7 days ago
Are Zero-suppressed Binary Decision Diagrams Good for Mining Frequent Patterns in High Dimensional Datasets?
Mining frequent patterns such as frequent itemsets is a core operation in many important data mining tasks, such as in association rule mining. Mining frequent itemsets in high-di...
Elsa Loekito, James Bailey