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» A Note on Learning Vector Quantization
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ICML
2008
IEEE
16 years 17 days ago
A decoupled approach to exemplar-based unsupervised learning
A recent trend in exemplar based unsupervised learning is to formulate the learning problem as a convex optimization problem. Convexity is achieved by restricting the set of possi...
Gökhan H. Bakir, Sebastian Nowozin
PR
2007
104views more  PR 2007»
14 years 11 months ago
Optimizing resources in model selection for support vector machine
Tuning SVM hyperparameters is an important step in achieving a high-performance learning machine. It is usually done by minimizing an estimate of generalization error based on the...
Mathias M. Adankon, Mohamed Cheriet
ICMLA
2003
15 years 1 months ago
A Distributed Reinforcement Learning Approach to Pattern Inference in Go
— This paper shows that the distributed representation found in Learning Vector Quantization (LVQ) enables reinforcement learning methods to cope with a large decision search spa...
Myriam Abramson, Harry Wechsler
NN
2008
Springer
153views Neural Networks» more  NN 2008»
14 years 11 months ago
A biologically motivated visual memory architecture for online learning of objects
We present a biologically motivated architecture for object recognition that is based on a hierarchical feature-detection model in combination with a memory architecture that impl...
Stephan Kirstein, Heiko Wersing, Edgar Körner
JNW
2008
101views more  JNW 2008»
14 years 11 months ago
Micro-controller based Remote Monitoring using Mobile through Spoken Commands
Mobile phone can serve as powerful tool for world-wide communication. A system is developed to remotely monitor process through spoken commands using mobile. Mel cepstrum features ...
Naresh P. Jawarkar, Vasif Ahmed, Siddharth A. Ladh...