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» Evaluating Adaptive Problem Selection
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103
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CEC
2005
IEEE
15 years 9 months ago
Parallel evolutionary algorithms on graphics processing unit
Evolutionary Algorithms (EAs) are effective and robust methods for solving many practical problems such as feature selection, electrical circuits synthesis, and data mining. Howeve...
Man Leung Wong, Tien-Tsin Wong, Ka-Ling Fok
136
Voted
RTCSA
2005
IEEE
15 years 9 months ago
Quasi-Static Scheduling for Multiprocessor Real-Time Systems with Hard and Soft Tasks
We address in this paper the problem of scheduling for multiprocessor real-time systems with hard and soft tasks. Utility functions are associated to soft tasks to capture their r...
Luis Alejandro Cortés, Petru Eles, Zebo Pen...
130
Voted
ICDM
2002
IEEE
133views Data Mining» more  ICDM 2002»
15 years 8 months ago
Estimating the number of segments in time series data using permutation tests
Segmentation is a popular technique for discovering structure in time series data. We address the largely open problem of estimating the number of segments that can be reliably di...
Kari Vasko, Hannu Toivonen
135
Voted
ITC
2002
IEEE
72views Hardware» more  ITC 2002»
15 years 8 months ago
Test Point Insertion that Facilitates ATPG in Reducing Test Time and Data Volume
Efficient production testing is frequently hampered because current digital circuits require test sets which are too large. These test sets can be reduced significantly by means...
M. J. Geuzebroek, J. Th. van der Linden, A. J. van...
SIGMOD
2010
ACM
213views Database» more  SIGMOD 2010»
15 years 8 months ago
On active learning of record matching packages
We consider the problem of learning a record matching package (classifier) in an active learning setting. In active learning, the learning algorithm picks the set of examples to ...
Arvind Arasu, Michaela Götz, Raghav Kaushik