Keywords
Affiliated Institutions
Related Publications
Learning Factorial Codes by Predictability Minimization
I propose a novel general principle for unsupervised learning of distributed nonredundant internal representations of input patterns. The principle is based on two opposing forc...
Improved Adam Optimizer for Deep Neural Networks
Adaptive optimization algorithms, such as Adam and RMSprop, have witnessed better optimization performance than stochastic gradient descent (SGD) in some scenarios. However, rec...
Recognition of handwritten digits by combining independent learning vector quantizations
Classifiers derived by learning vector quantization (LVQ) have well-defined decision regions that can be combined to construct a more accurate classifier. A given point may be i...
Robust neural networks with on-line learning for blind identification and blind separation of sources
Two unsupervised, self-normalizing, adaptive learning algorithms are developed for robust blind identification and/or blind separation of independent source signals from a linea...
Parallel networks that learn to pronounce English text
This paper describes NETtalk, a class of massively-parallel network systems that learn to convert English text to speech. The memory representations for pronunciations are learn...
Publication Info
- Year
- 2010
- Type
- article
- Volume
- 3
- Issue
- 1
- Pages
- 1-122
- Citations
- 15301
- Access
- Closed
External Links
Social Impact
Social media, news, blog, policy document mentions
Citation Metrics
Cite This
Identifiers
- DOI
- 10.1561/2200000016