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ML
2000
ACM
244views Machine Learning» more  ML 2000»
15 years 6 months ago
Learnable Evolution Model: Evolutionary Processes Guided by Machine Learning
A new class of evolutionary computation processes is presented, called Learnable Evolution Model or LEM. In contrast to Darwinian-type evolution that relies on mutation, recombinat...
Ryszard S. Michalski
INFOCOM
2010
IEEE
15 years 4 months ago
Optimal Solutions for Single Fault Localization in Two Dimensional Lattice Networks
Abstract--Achieving fast, precise, and scalable fault localization has long been a highly desired feature in all-optical mesh networks. Monitoring tree (m-tree) is an interesting m...
János Tapolcai, Lajos Rónyai, Pin-Ha...
SYNTHESE
2011
77views more  SYNTHESE 2011»
15 years 1 months ago
E. W. Beth as a philosopher of physics
This paper examines E. W. Beth’s work in the philosophy of physics, both from a historical and a systematic point of view. Beth saw the philosophy of physics first of all as an ...
Dennis Dieks
ICCV
2005
IEEE
16 years 8 months ago
Dynamic Measurement Clustering to Aid Real Time Tracking
Many parameter estimation problems admit divide and conquer or partitioning techniques in order to reduce a highdimensional task into several reduced-dimension problems. These tec...
Christopher Kemp, Tom Drummond
ICCV
2003
IEEE
16 years 8 months ago
Bayesian Clustering of Optical Flow Fields
We present a method for unsupervised learning of classes of motions in video. We project optical flow fields to a complete, orthogonal, a-priori set of basis functions in a probab...
Jesse Hoey, James J. Little