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» Speeding Up Evolution through Learning: LEM
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ICDE
2012
IEEE
202views Database» more  ICDE 2012»
11 years 8 months ago
Recomputing Materialized Instances after Changes to Mappings and Data
—A major challenge faced by today’s information systems is that of evolution as data usage evolves or new data resources become available. Modern organizations sometimes exchan...
Todd J. Green, Zachary G. Ives
ECML
2006
Springer
13 years 10 months ago
Efficient Non-linear Control Through Neuroevolution
Abstract. Many complex control problems are not amenable to traditional controller design. Not only is it difficult to model real systems, but often it is unclear what kind of beha...
Faustino J. Gomez, Jürgen Schmidhuber, Risto ...
JCP
2007
92views more  JCP 2007»
13 years 6 months ago
Lifelong Learning, Empirical Modelling and the Promises of Constructivism
—Educational technology is seen as key for lifelong learning, but it has yet to live up to expectation. We argue that current learning environments are typically oriented too muc...
Meurig Beynon, Antony Harfield
ICML
2007
IEEE
14 years 7 months ago
Cross-domain transfer for reinforcement learning
A typical goal for transfer learning algorithms is to utilize knowledge gained in a source task to learn a target task faster. Recently introduced transfer methods in reinforcemen...
Matthew E. Taylor, Peter Stone
ECCV
2010
Springer
13 years 11 months ago
A Stochastic Graph Evolution Framework for Robust Multi-Target Tracking
Maintaining the stability of tracks on multiple targets in video over extended time periods remains a challenging problem. A few methods which have recently shown encouraging resul...