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State Machine

A model of computation consisting of a set of states, a set of input events, a set of output events, and a state transition function.
National Institutes of Health

Papers overview

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2017
2017
In this paper, we present a novel architecture and learning algorithm for a multilayered echo state machine (ML-ESM). Traditional… Expand
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Highly Cited
2013
Highly Cited
2013
SUMMARY High-throughput sequencing provides an opportunity to analyse the repertoire of antigen-specific receptors with an… Expand
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Highly Cited
2007
Highly Cited
2007
We have combined an echo state network (ESN) with a competitive state machine framework to create a classification engine called… Expand
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Highly Cited
2006
Highly Cited
2006
We present an untethered, electrostatic, MEMS micro-robot, with dimensions of 60 /spl mu/m by 250 /spl mu/m by 10 /spl mu/m. The… Expand
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Highly Cited
2005
Highly Cited
2005
Modulation of flying capacitor and stacked multicell converters (SMC) is complicated by the fact that these converters have… Expand
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Highly Cited
2003
Highly Cited
2003
We present a new methodology for automatic verification of C programs against finite state machine specifications. Our approach… Expand
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Highly Cited
1998
Highly Cited
1998
Fig. 3 shows PG,.,,,,, (m) for various numbers of observations N and various sizes of memory m. The Chernoff bound on P,*(a) was… Expand
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Highly Cited
1997
Highly Cited
1997
Recently, fully connected recurrent neural networks have been proven to be computationally rich-at least as powerful as Turing… Expand
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Highly Cited
1996
Highly Cited
1996
  • Mike Casey
  • Neural Computation
  • 1996
  • Corpus ID: 1601719
Recurrent neural networks (RNNs) can learn to perform finite state computations. It is shown that an RNN performing a finite… Expand
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Highly Cited
1994
Highly Cited
1994
For maintainers involved in understanding and reengineering large software, locating source code fragments that match certain… Expand
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