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NEUROSCIENCE
2001
Springer
14 years 1 months ago
Finite-State Computation in Analog Neural Networks: Steps towards Biologically Plausible Models?
Abstract. Finite-state machines are the most pervasive models of computation, not only in theoretical computer science, but also in all of its applications to real-life problems, a...
Mikel L. Forcada, Rafael C. Carrasco
IJCSS
2000
117views more  IJCSS 2000»
13 years 8 months ago
Direct adaptive neural control for turning complex rotating profiles
Abstract. During the machining process of a complex rotating pro
Tingzhang Lui, Xinzhong Li
FPL
2009
Springer
161views Hardware» more  FPL 2009»
14 years 1 months ago
A multi-FPGA architecture for stochastic Restricted Boltzmann Machines
Although there are many neural network FPGA architectures, there is no framework for designing large, high-performance neural networks suitable for the real world. In this paper, ...
Daniel L. Ly, Paul Chow
DAS
2010
Springer
14 years 5 days ago
Improved classification through runoff elections
We consider the problem of dealing with irrelevant votes when a multi-case classifier is built from an ensemble of binary classifiers. We show how run-off elections can be used to...
Oleg Golubitsky, Stephen M. Watt
ICANN
2001
Springer
14 years 1 months ago
The Bayesian Committee Support Vector Machine
Empirical evidence indicates that the training time for the support vector machine (SVM) scales to the square of the number of training data points. In this paper, we introduce the...
Anton Schwaighofer, Volker Tresp