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ICANN
2003
Springer
15 years 3 months ago
Optimal Hebbian Learning: A Probabilistic Point of View
Many activity dependent learning rules have been proposed in order to model long-term potentiation (LTP). Our aim is to derive a spike time dependent learning rule from a probabili...
Jean-Pascal Pfister, David Barber, Wulfram Gerstne...
NIPS
1990
14 years 11 months ago
Back Propagation is Sensitive to Initial Conditions
This paper explores the effect of initial weight selection on feed-forward networks learning simple functions with the back-propagation technique. We first demonstrate, through th...
John F. Kolen, Jordan B. Pollack
APPROX
2010
Springer
135views Algorithms» more  APPROX 2010»
14 years 10 months ago
Monotonicity Testing and Shortest-Path Routing on the Cube
We study the problem of monotonicity testing over the hypercube. As previously observed in several works, a positive answer to a natural question about routing properties of the hy...
Jop Briët, Sourav Chakraborty, David Garc&iac...
STOC
2005
ACM
129views Algorithms» more  STOC 2005»
15 years 10 months ago
Learning with attribute costs
We study an extension of the "standard" learning models to settings where observing the value of an attribute has an associated cost (which might be different for differ...
Haim Kaplan, Eyal Kushilevitz, Yishay Mansour
VLSID
2002
IEEE
207views VLSI» more  VLSID 2002»
15 years 10 months ago
Synthesis of High Performance Low Power Dynamic CMOS Circuits
This paper presents a novel approach for the synthesis of dynamic CMOS circuits using Domino and Nora styles. As these logic styles can implement only non-inverting logic, convent...
Debasis Samanta, Nishant Sinha, Ajit Pal