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» On an Optimization Problem in Sensor Selection*
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AAAI
2000
14 years 11 months ago
Information Extraction with HMM Structures Learned by Stochastic Optimization
Recent research has demonstrated the strong performance of hidden Markov models applied to information extraction--the task of populating database slots with corresponding phrases...
Dayne Freitag, Andrew McCallum
KDD
2010
ACM
197views Data Mining» more  KDD 2010»
14 years 8 months ago
Semi-supervised feature selection for graph classification
The problem of graph classification has attracted great interest in the last decade. Current research on graph classification assumes the existence of large amounts of labeled tra...
Xiangnan Kong, Philip S. Yu
GECCO
2010
Springer
191views Optimization» more  GECCO 2010»
15 years 2 months ago
Toward comparison-based adaptive operator selection
Adaptive Operator Selection (AOS) turns the impacts of the applications of variation operators into Operator Selection through a Credit Assignment mechanism. However, most Credit ...
Álvaro Fialho, Marc Schoenauer, Michè...
165
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WIRN
2005
Springer
15 years 3 months ago
Artificial Immune-Based Optimization Technique for Solving Economic Dispatch in Power System
Abstract. This paper presents an Artificial Immune-based optimization technique for solving the economic dispatch problem in a power system. The main role of electrical power utili...
Titik Khawa Abdul Rahman, Saiful Izwan Suliman, Is...
ICDE
2006
IEEE
146views Database» more  ICDE 2006»
15 years 11 months ago
Query Selection Techniques for Efficient Crawling of Structured Web Sources
The high quality, structured data from Web structured sources is invaluable for many applications. Hidden Web databases are not directly crawlable by Web search engines and are on...
Ping Wu, Ji-Rong Wen, Huan Liu, Wei-Ying Ma