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KDD
2009
ACM
227views Data Mining» more  KDD 2009»
14 years 9 months ago
Efficiently learning the accuracy of labeling sources for selective sampling
Many scalable data mining tasks rely on active learning to provide the most useful accurately labeled instances. However, what if there are multiple labeling sources (`oracles...
Pinar Donmez, Jaime G. Carbonell, Jeff Schneider
DAWAK
2011
Springer
12 years 8 months ago
An Envelope-Based Approach to Rotation-Invariant Boundary Image Matching
(The original conference version of this paper mischaracterizes the contributions of the current authors, relative to the contributions of Keogh et al. [11, 12]. We would like to ...
Sang-Pil Kim, Yang-Sae Moon, Sun-Kyong Hong
DAC
2005
ACM
14 years 10 months ago
Optimal procrastinating voltage scheduling for hard real-time systems
This paper presents an optimal procrastinating voltage scheduling (OP-DVS) for hard real-time systems using stochastic workload information. Algorithms are presented for both sing...
Yan Zhang, Zhijian Lu, John Lach, Kevin Skadron, M...
ICML
1998
IEEE
14 years 9 months ago
Value Function Based Production Scheduling
Production scheduling, the problem of sequentially con guring a factory to meet forecasted demands, is a critical problem throughout the manufacturing industry. The requirement of...
Jeff G. Schneider, Justin A. Boyan, Andrew W. Moor...
JSSPP
2009
Springer
14 years 3 months ago
Competitive Two-Level Adaptive Scheduling Using Resource Augmentation
Abstract. As multi-core processors proliferate, it has become more important than ever to ensure efficient execution of parallel jobs on multiprocessor systems. In this paper, we s...
Hongyang Sun, Yangjie Cao, Wen-Jing Hsu