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KDD
2012
ACM
190views Data Mining» more  KDD 2012»
11 years 10 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
12 years 11 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»
14 years 1 months 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
ISPW
2009
IEEE
14 years 2 months 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»
14 years 1 months 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