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AAAI
2007
15 years 4 months ago
A Connectionist Cognitive Model for Temporal Synchronisation and Learning
The importance of the efforts towards integrating the symbolic and connectionist paradigms of artificial intelligence has been widely recognised. Integration may lead to more e...
Luís C. Lamb, Rafael V. Borges, Artur S. d'...
CIKM
2008
Springer
15 years 3 months ago
Classifying networked entities with modularity kernels
Statistical machine learning techniques for data classification usually assume that all entities are i.i.d. (independent and identically distributed). However, real-world entities...
Dell Zhang, Robert Mao
AIIDE
2006
15 years 3 months ago
Incorporating Advice into Neuroevolution of Adaptive Agents
Neuroevolution is a promising learning method in tasks with extremely large state and action spaces and hidden states. Recent advances allow neuroevolution to take place in real t...
Chern Han Yong, Kenneth O. Stanley, Risto Miikkula...
IEEECIT
2010
IEEE
15 years 13 days ago
An Innovative Course about Network Storage and System Virtualization Technologies in PKU
—“Network Storage and System Virtualization Technologies” is an up-to-date course opened by the school of electronics engineering and computer science of Peking University. T...
Xiaolin Wang, Xinxin Jin, Yingwei Luo, Zhenlin Wan...
KDD
2009
ACM
347views Data Mining» more  KDD 2009»
16 years 2 months ago
Network anomaly detection based on Eigen equation compression
This paper addresses the issue of unsupervised network anomaly detection. In recent years, networks have played more and more critical roles. Since their outages cause serious eco...
Shunsuke Hirose, Kenji Yamanishi, Takayuki Nakata,...