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ICDM
2009
IEEE
199views Data Mining» more  ICDM 2009»
15 years 6 months ago
Active Learning with Adaptive Heterogeneous Ensembles
—One common approach to active learning is to iteratively train a single classifier by choosing data points based on its uncertainty, but it is nontrivial to design uncertainty ...
Zhenyu Lu, Xindong Wu, Josh Bongard
WOWMOM
2009
ACM
191views Multimedia» more  WOWMOM 2009»
15 years 6 months ago
Multi-channel spectrum-agile MAC protocol with adaptive load control
Abstract— Spectrum-agile radios, also known as cognitive radios, have a great potential to improve spectrum utilization by enabling dynamic access to the spectrum. A key challeng...
Fan Wang, Marwan Krunz
CAISE
2005
Springer
15 years 5 months ago
Capitalizing on Awareness of User Tasks for Guiding Self-Adaptation
Abstract. Computers support more and more tasks in the personal and professional activities of users. Such user tasks increasingly span large periods of time and many locations acr...
João Pedro Sousa, Vahe Poladian, David Garl...
IEEEPACT
2002
IEEE
15 years 4 months ago
Integrating Adaptive On-Chip Storage Structures for Reduced Dynamic Power
Energy efficiency in microarchitectures has become a necessity. Significant dynamic energy savings can be realized for adaptive storage structures such as caches, issue queues, ...
Steve Dropsho, Alper Buyuktosunoglu, Rajeev Balasu...
PODS
2000
ACM
146views Database» more  PODS 2000»
15 years 3 months ago
Analysis and Application of Adaptive Sampling
An estimation algorithm for a query is a probabilistic algorithm that computes an approximation for the size (number of tuples) of the query. One class of estimation algorithms us...
James F. Lynch