97 search results - page 1 / 20 » Herding dynamical weights to learn |
101
Voted
ICML
2009
IEEE
15 years 10 months ago
2009
IEEE
A new "herding" algorithm is proposed which directly converts observed moments into a sequence of pseudo-samples. The pseudosamples respect the moment constraints and ma...
JMLR
2010
14 years 4 months ago
2010
A parametric version of herding is formulated. The nonlinear mapping between consecutive time slices is learned by a form of self-supervised training. The resulting dynamical syst...
84
Voted
AAAI
2012
12 years 12 months ago
2012
In many dynamic matching applications—especially high-stakes ones—the competitive ratios of prior-free online algorithms are unacceptably poor. The algorithm should take distr...
78
Voted
ESANN
2003
14 years 11 months ago
2003
We derive continuous-time batch and online versions of the recently introduced efficient O(N2 ) training algorithm of Atiya and Parlos [2000] for fully recurrent networks. A mathem...
ISCAS
1999
IEEE
15 years 1 months ago
1999
IEEE
We study the weight dynamics of the floating-gate pFET synapse and the effects of the pFET's gate and drain voltages on these dynamics. We show that we can derive a weight upd...