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134
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VLSISP
2002
124views more  VLSISP 2002»
15 years 4 months ago
Agglomerative Learning Algorithms for General Fuzzy Min-Max Neural Network
In this paper two agglomerative learning algorithms based on new similarity measures defined for hyperbox fuzzy sets are proposed. They are presented in a context of clustering and...
Bogdan Gabrys
138
Voted
CORR
2010
Springer
77views Education» more  CORR 2010»
15 years 4 months ago
Decreasing log data of multi-tier services for effective request tracing
Previous work shows request tracing systems help understand and debug the performance problems of multi-tier services. However, for large-scale data centers, more than hundreds of...
Bo Sang, Jianfeng Zhan, Guanhua Tian
135
Voted
ICONIP
2010
15 years 3 months ago
Improving Recurrent Neural Network Performance Using Transfer Entropy
Abstract. Reservoir computing approaches have been successfully applied to a variety of tasks. An inherent problem of these approaches, is, however, their variation in performance ...
Oliver Obst, Joschka Boedecker, Minoru Asada
139
Voted
ICRA
2010
IEEE
148views Robotics» more  ICRA 2010»
15 years 3 months ago
Body schema acquisition through active learning
— We present an active learning algorithm for the problem of body schema learning, i.e. estimating a kinematic model of a serial robot. The learning process is done online using ...
Ruben Martinez-Cantin, Manuel Lopes, Luis Montesan...
133
Voted
ICRA
2010
IEEE
111views Robotics» more  ICRA 2010»
15 years 3 months ago
Multi-tasking SLAM
— The problem of simultaneous localization and mapping (SLAM) is one of the most studied in the robotics literature. Most existing approaches, however, focus on scenarios where l...
Arthur Guez, Joelle Pineau