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IROS
2009
IEEE
142views Robotics» more  IROS 2009»
14 years 5 months ago
Phoneme acquisition model based on vowel imitation using Recurrent Neural Network
- A phoneme-acquisition system was developed using a computational model that explains the developmental process of human infants in the early period of acquiring language. There a...
Hisashi Kanda, Tetsuya Ogata, Toru Takahashi, Kazu...
SBACPAD
2006
IEEE
147views Hardware» more  SBACPAD 2006»
14 years 4 months ago
Controlling the Power and Area of Neural Branch Predictors for Practical Implementation in High-Performance Processors
Neural-inspired branch predictors achieve very low branch misprediction rates. However, previously proposed implementations have a variety of characteristics that make them challe...
Daniel A. Jiménez, Gabriel H. Loh
EUROCOLT
1997
Springer
14 years 2 months ago
Vapnik-Chervonenkis Dimension of Recurrent Neural Networks
Most of the work on the Vapnik-Chervonenkis dimension of neural networks has been focused on feedforward networks. However, recurrent networks are also widely used in learning app...
Pascal Koiran, Eduardo D. Sontag
NECO
2007
129views more  NECO 2007»
13 years 10 months ago
Variational Bayes Solution of Linear Neural Networks and Its Generalization Performance
It is well-known that, in unidentifiable models, the Bayes estimation provides much better generalization performance than the maximum likelihood (ML) estimation. However, its ac...
Shinichi Nakajima, Sumio Watanabe
ENGL
2007
180views more  ENGL 2007»
13 years 10 months ago
Biological Data Mining for Genomic Clustering Using Unsupervised Neural Learning
— The paper aims at designing a scheme for automatic identification of a species from its genome sequence. A set of 64 three-tuple keywords is first generated using the four type...
Shreyas Sen, Seetharam Narasimhan, Amit Konar