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» Learning for Dynamic Subsumption
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117
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JCNS
2008
78views more  JCNS 2008»
15 years 1 months ago
A computational study of synaptic mechanisms of partial memory transfer in cerebellar vestibulo-ocular-reflex learning
There is a debate regarding whether motor memory is stored in the cerebellar cortex, or the cerebellar nuclei, or both. Memory may be acquired in the cortex and then be transferred...
Naoki Masuda, Shun-ichi Amari
155
Voted
ISF
2010
164views more  ISF 2010»
15 years 1 days ago
An SVM-based machine learning method for accurate internet traffic classification
Accurate and timely traffic classification is critical in network security monitoring and traffic engineering. Traditional methods based on port numbers and protocols have proven t...
Ruixi Yuan, Zhu Li, Xiaohong Guan, Li Xu
201
Voted
ICWE
2011
Springer
14 years 6 months ago
Learning Semantic Relationships between Entities in Twitter
In this paper, we investigate whether semantic relationships between entities can be learnt from analyzing microblog posts published on Twitter. We identify semantic links between ...
Ilknur Celik, Fabian Abel, Geert-Jan Houben
158
Voted
SDM
2012
SIAM
237views Data Mining» more  SDM 2012»
13 years 5 months ago
A Distributed Kernel Summation Framework for General-Dimension Machine Learning
Kernel summations are a ubiquitous key computational bottleneck in many data analysis methods. In this paper, we attempt to marry, for the first time, the best relevant technique...
Dongryeol Lee, Richard W. Vuduc, Alexander G. Gray
253
Voted
AAAI
2012
13 years 5 months ago
Learning from Demonstration for Goal-Driven Autonomy
Goal-driven autonomy (GDA) is a conceptual model for creating an autonomous agent that monitors a set of expectations during plan execution, detects when discrepancies occur, buil...
Ben George Weber, Michael Mateas, Arnav Jhala