128 search results - page 14 / 26 » A context-aware experience sampling tool |
ICML
2009
IEEE
15 years 10 months ago
2009
IEEE
We cast model-free reinforcement learning as the problem of maximizing the likelihood of a probabilistic mixture model via sampling, addressing both the infinite and finite horizo...
ADMA
2006
Springer
15 years 3 months ago
2006
Springer
Gene Expression Programming (GEP) aims at discovering essential rules hidden in observed data and expressing them mathematically. GEP has been proved to be a powerful tool for cons...
71
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HICSS
2000
IEEE
15 years 1 months ago
2000
IEEE
The widespread presence of errors in spreadsheets is now well-established. Quite a few methodological and software approaches have been suggested as ways to reduce spreadsheet err...
113
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TNN
2010
14 years 4 months ago
2010
Finite mixture model is a powerful tool in many statistical learning problems. In this paper, we propose a general, structure-preserving approach to reduce its model complexity, w...
ICASSP
2011
IEEE
14 years 1 months ago
2011
IEEE
This paper presents a signal processing tool for analyzing and manipulating digitized acoustic wave fields, based on a spatio-temporal extension of the time–frequency represent...