1359 search results - page 90 / 272 » Neural Dynamics with Stochasticity |
172
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NIPS
1993
15 years 7 months ago
1993
Stochastic optimization algorithms typically use learning rate schedules that behave asymptotically as (t) = 0=t. The ensemble dynamics (Leen and Moody, 1993) for such algorithms ...
127
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TIT
1998
15 years 5 months ago
1998
— This paper reviews two streams of development, from the 1940’s to the present, in signal detection theory: the structure of the likelihood ratio for detecting signals in nois...
177
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CDC
2010
IEEE
15 years 1 months ago
2010
IEEE
Abstract-- We study the convergence rate of average consensus algorithms in networks with stochastic communication failures. We show how the system dynamics can be modeled by a dis...
215
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BICOB
2011
Springer
14 years 6 months ago
2011
Springer
Although the populations of biological systems are inherently discrete and their dynamics are strongly stochastic, it is usual to consider their limiting behaviour for large envir...
178
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ICML
2009
IEEE
16 years 7 months ago
2009
IEEE
Relational world models that can be learned from experience in stochastic domains have received significant attention recently. However, efficient planning using these models rema...