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GECCO
2004
Springer
116views Optimization» more  GECCO 2004»
16 years 8 days ago
Reducing Fitness Evaluations Using Clustering Techniques and Neural Network Ensembles
Abstract. In many real-world applications of evolutionary computation, it is essential to reduce the number of fitness evaluations. To this end, computationally efficient models c...
Yaochu Jin, Bernhard Sendhoff
ICOIN
2004
Springer
16 years 7 days ago
On Reducing Paging Cost in IP-Based Wireless/Mobile Networks
For more scalable mobile services, it is important to reduce the signaling cost for location management. In this paper, we propose a cost effective IP paging scheme utilizing expl...
Kyoungae Kim, Sangheon Pack, Yanghee Choi
ICDM
2003
IEEE
111views Data Mining» more  ICDM 2003»
16 years 5 days ago
OP-Cluster: Clustering by Tendency in High Dimensional Space
Clustering is the process of grouping a set of objects into classes of similar objects. Because of unknownness of the hidden patterns in the data sets, the definition of similari...
Jinze Liu, Wei Wang 0010
AMKM
2003
Springer
16 years 3 days ago
Discovering, Visualizing, and Sharing Knowledge through Personalized Learning Knowledge Maps
This paper presents an agent-based approach to semantic exploration and knowledge discovery in large information spaces by means of capturing, visualizing and making usable implic...
Jasminko Novak, Michael Wurst, Monika Fleischmann,...
NLPRS
2001
Springer
15 years 11 months ago
Named Entity Recognition using Machine Learning Methods and Pattern-Selection Rules
Named Entity recognition, as a task of providing important semantic information, is a critical first step in Information Extraction and QuestionAnswering system. This paper propos...
Choong-Nyoung Seon, Youngjoong Ko, Jeong-Seok Kim,...
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