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SCP
2008
150views more  SCP 2008»
15 years 6 months ago
Google's MapReduce programming model - Revisited
Google's MapReduce programming model serves for processing large data sets in a massively parallel manner. We deliver the first rigorous description of the model including it...
Ralf Lämmel
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
AUSAI
2008
Springer
15 years 8 months ago
Learning a Generative Model for Structural Representations
Abstract. Graph-based representations have been used with considercess in computer vision in the abstraction and recognition of object shape and scene structure. Despite this, the ...
Andrea Torsello, David L. Dowe
ICPR
2006
IEEE
16 years 7 months ago
Detection of presynaptic terminals on dendritic spines in double labeling confocal images
For the analysis of learning processes and the underlying changes of the shape of excitatory synapses (spines), 3-D volume samples of selected dendritic segments are scanned by a ...
Andreas Herzog, Bernd Michaelis, Gerald Krell, Kat...
DMSN
2009
ACM
16 years 1 months ago
Message models and aggregation in knowledge based middleware for rich sensor systems
Networked, distributed real world sensing is an increasingly prominent topic in computing and has quickly expanded from resource constrained “sensor networks” measuring simple...
Joseph B. Kopena, William C. Regli, Boon Thau Loo