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NN
2000
Springer
167views Neural Networks» more  NN 2000»
15 years 4 months ago
Blind signal processing by the adaptive activation function neurons
The aim of this paper is to study an Information Theory based learning theory for neural units endowed with adaptive activation functions. The learning theory has the target to fo...
Simone Fiori
PVLDB
2010
168views more  PVLDB 2010»
15 years 3 months ago
Active Complex Event Processing: Applications in Real-Time Health Care
Our analysis of many real-world event based applications has revealed that existing Complex Event Processing technology (CEP), while effective for efficient pattern matching on e...
Di Wang, Elke A. Rundensteiner, Richard Ellison, H...
COLING
2008
15 years 6 months ago
Robust and Efficient Chinese Word Dependency Analysis with Linear Kernel Support Vector Machines
Data-driven learning based on shift reduce parsing algorithms has emerged dependency parsing and shown excellent performance to many Treebanks. In this paper, we investigate the e...
Yu-Chieh Wu, Jie-Chi Yang, Yue-Shi Lee
AIED
2005
Springer
15 years 10 months ago
What Do You Mean by to Help Learning of Metacognition?
Several computer-based learning support systems and methods help learners to master metacognitive activity. Which systems and methods are designed to eliminate which difficulties a...
Michiko Kayashima, Akiko Inaba, Riichiro Mizoguchi
IWAN
1999
Springer
15 years 9 months ago
ANMAC: An Architectural Framework for Network Management and Control using Active Networks
In this paper, we propose a new framework called Active Network Management and Control (ANMAC) for the management and control of high speed networks. The software architecture in A...
Samphel Norden, Kenneth F. Wong