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» Evaluating algorithms that learn from data streams
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GECCO
2004
Springer
155views Optimization» more  GECCO 2004»
15 years 9 months ago
Genetic Network Programming with Reinforcement Learning and Its Performance Evaluation
A new graph-based evolutionary algorithm named “Genetic Network Programming, GNP” has been proposed. GNP represents its solutions as directed graph structures, which can improv...
Shingo Mabu, Kotaro Hirasawa, Jinglu Hu
ANLP
1997
111views more  ANLP 1997»
15 years 5 months ago
An Improvement in the Selection Process of Machine Translation Using Inductive Learning with Genetic Algorithms
We proposed a method of machine translation using inductive learning with genetic algorithms, and confirmed the effectiveness of applying genetic algorithms. However, the system b...
Hiroshi Echizen-ya, Kenji Araki, Yoshikazu Miyanag...
SDM
2009
SIAM
112views Data Mining» more  SDM 2009»
16 years 1 months ago
A Re-evaluation of the Over-Searching Phenomenon in Inductive Rule Learning.
Most commonly used inductive rule learning algorithms employ a hill-climbing search, whereas local pattern discovery algorithms employ exhaustive search. In this paper, we evaluat...
Frederik Janssen, Johannes Fürnkranz
FGCS
2007
92views more  FGCS 2007»
15 years 4 months ago
Optimizing Web Service messaging performance in mobile computing
— The performance and efficiency of Web Services can be greatly increased in conversational and streaming message exchanges by streaming the message exchange paradigm. In this pa...
Sangyoon Oh, Geoffrey Fox
ICIP
2003
IEEE
16 years 6 months ago
Learning automatic video capture from human's camera operations
This paper presents a video acquisition system that can learn automatic video capture from human's camera operations. Unlike a predefined camera control system, this system c...
Qiong Liu, Don Kimber