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NIPS
1996
14 years 11 months ago
Solving the Ill-Conditioning in Neural Network Learning
Abstract. In this paper we investigate the feed-forward learning problem. The well-known ill-conditioning which is present in most feed-forward learning problems is shown to be the...
P. Patrick van der Smagt, Gerd Hirzinger
NIPS
1996
14 years 11 months ago
Early Brain Damage
Optimal Brain Damage (OBD) is a method for reducing the number of weights in a neural network. OBD estimates the increase in cost function if weights are pruned and is a valid app...
Volker Tresp, Ralph Neuneier, Hans-Georg Zimmerman...
ENDM
2008
93views more  ENDM 2008»
14 years 10 months ago
The Generalized Max-Controlled Set Problem
In this work we deal with sandwich graphs G = (V, E) and present the notion of vertices f-controlled by a subset M V . We introduce the generalized maxcontrolled set problem (gmc...
Ivairton M. Santos, Carlos A. J. Martinhon, Luiz S...
SSS
2009
Springer
162views Control Systems» more  SSS 2009»
15 years 4 months ago
Distributed Sleep Scheduling in Wireless Sensor Networks via Fractional Domatic Partitioning
We consider setting up sleep scheduling in sensor networks. We formulate the problem as an instance of the fractional domatic partition problem and obtain a distributed approximati...
André Schumacher, Harri Haanpää
UAI
2004
14 years 11 months ago
Graph Partition Strategies for Generalized Mean Field Inference
An autonomous variational inference algorithm for arbitrary graphical models requires the ability to optimize variational approximations over the space of model parameters as well...
Eric P. Xing, Michael I. Jordan