1413 search results - page 118 / 283 » A Theory for Memory-Based Learning |
174
Voted
ML
2007
ACM
15 years 5 months ago
2007
ACM
We prove new lower bounds for learning intersections of halfspaces, one of the most important concept classes in computational learning theory. Our main result is that any statist...
179
Voted
ATAL
2009
Springer
15 years 4 months ago
2009
Springer
Today's society is largely connected and many real life applications lend themselves to be modeled as multi-agent systems. Although such systems as well as their models are d...
177
Voted
JDCTA
2010
15 years 28 days ago
2010
To gain insights into the neural basis of such adaptive decision-making processes, we investigated the nature of learning process in humans playing a competitive game with binary ...
175
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ICML
2009
IEEE
16 years 7 months ago
2009
IEEE
This paper investigates a new learning formulation called structured sparsity, which is a naturalextensionofthestandardsparsityconceptinstatisticallearningandcompressivesensing. B...
162
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ICML
2007
IEEE
16 years 7 months ago
2007
IEEE
Feature selection aims to reduce dimensionality for building comprehensible learning models with good generalization performance. Feature selection algorithms are largely studied ...