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NCA
2007
IEEE
15 years 5 months ago
Using evolution to improve neural network learning: pitfalls and solutions
: Autonomous neural network systems typically require fast learning and good generalization performance, and there is potentially a trade-off between the two. The use of evolutiona...
John A. Bullinaria
ICDE
2005
IEEE
122views Database» more  ICDE 2005»
15 years 12 months ago
Autonomous Index Optimization in XML Databases
Abstract— Defining suitable indexes is a major task when optimizing a database. Usually, a human database administrator defines a set of indexes in the design phase of the data...
Beda Christoph Hammerschmidt, Martin Kempa, Volker...
SIGCOMM
1998
ACM
15 years 10 months ago
A Digital Fountain Approach to Reliable Distribution of Bulk Data
—The proliferation of applications that must reliably distribute bulk data to a large number of autonomous clients motivates the design of new multicast and broadcast protocols. ...
John W. Byers, Michael Luby, Michael Mitzenmacher,...
PAAMS
2010
Springer
15 years 4 months ago
Towards Improving Supply Chain Coordination through Agent-Based Simulation
Abstract One of the most significant paradigm shifts of modern business management is that individual businesses no longer compete as autonomous entities but rather as supply chain...
Areti Manataki, Yun-Heh Chen-Burger, Michael Rovat...
GECCO
2005
Springer
142views Optimization» more  GECCO 2005»
15 years 11 months ago
Toward evolved flight
We present the first hardware-in-the-loop evolutionary optimization on an ornithopter. Our experiments demonstrate the feasibility of evolving flight through genetic algorithms an...
Rusty Hunt, Gregory Hornby, Jason D. Lohn