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» An annealing framework with learning memory
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TSMC
1998
94views more  TSMC 1998»
13 years 4 months ago
An annealing framework with learning memory
Chun-Chi Lo, Ching-Chi Hsu
ICML
2006
IEEE
14 years 5 months ago
Deterministic annealing for semi-supervised kernel machines
An intuitive approach to utilizing unlabeled data in kernel-based classification algorithms is to simply treat unknown labels as additional optimization variables. For marginbased...
Vikas Sindhwani, S. Sathiya Keerthi, Olivier Chape...
SDM
2012
SIAM
237views Data Mining» more  SDM 2012»
11 years 7 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
ICANNGA
2007
Springer
153views Algorithms» more  ICANNGA 2007»
13 years 6 months ago
A Neural Framework for Robot Motor Learning Based on Memory Consolidation
Neural networks are a popular technique for learning the adaptive control of non-linear plants. When applied to the complex control of android robots, however, they suffer from se...
Heni Ben Amor, Shuhei Ikemoto, Takashi Minato, Ber...
IJCNN
2008
IEEE
13 years 11 months ago
Cognitive learning and the multimodal memory game: Toward human-level machine learning
— Machine learning has made great progress during the last decades and is being deployed in a wide range of applications. However, current machine learning techniques are far fro...
Byoung-Tak Zhang