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» Hashing Methods for Temporal Data
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115
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GECCO
2003
Springer
182views Optimization» more  GECCO 2003»
15 years 7 months ago
Spatial Operators for Evolving Dynamic Bayesian Networks from Spatio-temporal Data
Learning Bayesian networks from data has been studied extensively in the evolutionary algorithm communities [Larranaga96, Wong99]. We have previously explored extending some of the...
Allan Tucker, Xiaohui Liu, David Garway-Heath
HOTOS
2007
IEEE
15 years 6 months ago
Hyperspaces for Object Clustering and Approximate Matching in Peer-to-Peer Overlays
Existing distributed hash tables provide efficient mechanisms for storing and retrieving a data item based on an exact key, but are unsuitable when the search key is similar, but ...
Bernard Wong, Ymir Vigfusson, Emin Gün Sirer
ISSA
2008
15 years 3 months ago
Application of Message Digests for the Verification of Logical Forensic Data
A message digest is a fixed length output produced by applying a cryptographic algorithm on input binary data of arbitrary length. If the input data changes even by one bit, the g...
Pontjho Mokhonoana, Martin S. Olivier
119
Voted
AAAI
2012
13 years 4 months ago
A Novel and Scalable Spatio-Temporal Technique for Ocean Eddy Monitoring
Swirls of ocean currents known as ocean eddies are a crucial component of the ocean’s dynamics. In addition to dominating the ocean’s kinetic energy, eddies play a significan...
James H. Faghmous, Yashu Chamber, Shyam Boriah, Fr...
129
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ICML
2009
IEEE
16 years 3 months ago
Regularization and feature selection in least-squares temporal difference learning
We consider the task of reinforcement learning with linear value function approximation. Temporal difference algorithms, and in particular the Least-Squares Temporal Difference (L...
J. Zico Kolter, Andrew Y. Ng