Sciweavers

889 search results - page 31 / 178
» Observational Learning in Random Networks
Sort
View
GECCO
2009
Springer
162views Optimization» more  GECCO 2009»
13 years 7 months ago
Uncertainty handling CMA-ES for reinforcement learning
The covariance matrix adaptation evolution strategy (CMAES) has proven to be a powerful method for reinforcement learning (RL). Recently, the CMA-ES has been augmented with an ada...
Verena Heidrich-Meisner, Christian Igel
GECCO
2000
Springer
120views Optimization» more  GECCO 2000»
14 years 1 months ago
A Note on Learning and Evolution in Neural Networks
Interactions between evolution and lifetime learning are of great interest to studies of adaptive behaviour both in the natural world and the field of evolutionary computation. Th...
Brian Carse, Johan Oreland
ICDE
2008
IEEE
124views Database» more  ICDE 2008»
14 years 11 months ago
Randomized Synopses for Query Assurance on Data Streams
The overwhelming flow of information in many data stream applications forces many companies to outsource to a third-party the deployment of a Data Stream Management System (DSMS) f...
Ke Yi, Feifei Li, Marios Hadjieleftheriou, George ...
SPW
2005
Springer
14 years 3 months ago
Enhancing Privacy with Shared Pseudo Random Sequences
Protecting users’ privacy is essential for turning networks and services into trustworthy friends. Many privacy enhancing techniques, such as anonymous e-cash and mix-nets, have...
Jari Arkko, Pekka Nikander, Mats Näslund
IJON
2000
85views more  IJON 2000»
13 years 9 months ago
Hebbian learning and temporary storage in the convergence-zone model of episodic memory
The Convergence-Zone model shows how sparse, random memory patterns can lead to one-shot storage and high capacity in the hippocampal component of the episodic memory system. This...
Michael Howe, Risto Miikkulainen