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» Multiagent learning using a variable learning rate
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148
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COLT
2001
Springer
15 years 9 months ago
Smooth Boosting and Learning with Malicious Noise
We describe a new boosting algorithm which generates only smooth distributions which do not assign too much weight to any single example. We show that this new boosting algorithm ...
Rocco A. Servedio
NECO
2007
258views more  NECO 2007»
15 years 4 months ago
Reinforcement Learning Through Modulation of Spike-Timing-Dependent Synaptic Plasticity
The persistent modification of synaptic efficacy as a function of the relative timing of pre- and postsynaptic spikes is a phenomenon known as spiketiming-dependent plasticity (...
Razvan V. Florian
LWA
2007
15 years 6 months ago
Parameter Learning for a Readability Checking Tool
This paper describes the application of machine learning methods to determine parameters for DeLite, a readability checking tool. DeLite pinpoints text segments that are difficul...
Tim vor der Brück, Johannes Leveling
147
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GEOINFORMATICA
1998
96views more  GEOINFORMATICA 1998»
15 years 4 months ago
Experiments with Learning Techniques for Spatial Model Enrichment and Line Generalization
The nature of map generalization may be non-uniform along the length of an individual line, requiring the application of methods that adapt to the local geometry and the geographi...
Corinne Plazanet, Nara Martini Bigolin, Anne Ruas
119
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HAIS
2010
Springer
15 years 9 months ago
A Case-Based Reasoning Approach for Norm Adaptation
Existing organisational centred multi-agent systems regulate agents' activities. However, population/environmental changes may lead to a poor fullment of system's goals,...
Jordi Campos Miralles, Maite López-Sá...