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GECCO
2009
Springer
188views Optimization» more  GECCO 2009»
15 years 1 months ago
Exploiting multiple classifier types with active learning
Many approaches to active learning involve training one classifier by periodically choosing new data points about which the classifier has the least confidence, but designing a co...
Zhenyu Lu, Josh Bongard
JMLR
2012
12 years 12 months ago
Exploiting Unrelated Tasks in Multi-Task Learning
We study the problem of learning a group of principal tasks using a group of auxiliary tasks, unrelated to the principal ones. In many applications, joint learning of unrelated ta...
Bernardino Romera-Paredes, Andreas Argyriou, Nadia...
ICASSP
2008
IEEE
15 years 4 months ago
Link throughput of multi-channel opportunistic access with limited sensing
—We aim to characterize the maximum link throughput of a multi-channel opportunistic communication system. The states of these channels evolve as independent and identically dist...
Keqin Liu, Qing Zhao
INFOCOM
2003
IEEE
15 years 2 months ago
User-Level Performance of Channel-Aware Scheduling Algorithms in Wireless Data Networks
— Channel-aware scheduling strategies, such as the Proportional Fair algorithm for the CDMA 1xEV-DO system, provide an effective mechanism for improving throughput performance in...
Sem C. Borst
ENDM
2010
167views more  ENDM 2010»
14 years 7 months ago
Column Generation based Primal Heuristics
In the past decade, significant progress has been achieved in developing generic primal heuristics that made their way into commercial mixed integer programming (MIP) solver. Exte...
C. Joncour, S. Michel, R. Sadykov, D. Sverdlov, Fr...