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ICANN
2009
Springer
14 years 2 months ago
Evolving Memory Cell Structures for Sequence Learning
The best recent supervised sequence learning methods use gradient descent to train networks of miniature nets called memory cells. The most popular cell structure seems somewhat ar...
Justin Bayer, Daan Wierstra, Julian Togelius, J&uu...
ANLP
1997
84views more  ANLP 1997»
13 years 9 months ago
High Performance Segmentation of Spontaneous Speech Using Part of Speech and Trigger Word Information
We describe and experimentally evaluate an efficient method for automatically determining small clause boundaries in spontaneous speech. Our method applies an artificial neural ne...
Marsal Gavaldà, Klaus Zechner, Gregory Aist
NIPS
2001
13 years 9 months ago
(Not) Bounding the True Error
We present a new approach to bounding the true error rate of a continuous valued classifier based upon PAC-Bayes bounds. The method first constructs a distribution over classifier...
John Langford, Rich Caruana
CSMR
2009
IEEE
14 years 9 days ago
Application of TreeNet in Predicting Object-Oriented Software Maintainability: A Comparative Study
There is an increasing interest in more accurate prediction of software maintainability in order to better manage and control software maintenance. Recently, TreeNet has been prop...
Mahmoud O. Elish, Karim O. Elish
ALIFE
2005
13 years 7 months ago
Flexible Couplings: Diffusing Neuromodulators and Adaptive Robotics
Recent years have seen the discovery of freely diffusing gaseous neurotransmitters, such as nitric oxide (NO), in biological nervous systems. A type of artificial neural network (A...
Andrew Philippides, Phil Husbands, Tom Smith, Mich...