1986 search results - page 270 / 398 » Modelling Learning Subjects as Relationships |
137
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GECCO
2008
Springer
15 years 5 months ago
2008
Springer
A developmental model of neural network is presented and evaluated in the game of Checkers. The network is developed using cartesian genetic programs (CGP) as genotypes. Two agent...
139
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CDC
2010
IEEE
14 years 11 months ago
2010
IEEE
The asymptotic behavior of stochastic gradient algorithms is studied. Relying on some results of differential geometry (Lojasiewicz gradient inequality), the almost sure pointconve...
134
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JAIR
2011
14 years 11 months ago
2011
Markovian processes have long been used to model stochastic environments. Reinforcement learning has emerged as a framework to solve sequential planning and decision-making proble...
134
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AIR
2004
15 years 3 months ago
2004
Real-world data is never perfect and can often suffer from corruptions (noise) that may impact interpretations of the data, models created from the data and decisions made based on...
127
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SIGMETRICS
2008
ACM
15 years 3 months ago
2008
ACM
Traditional performance models are too brittle to be relied on for continuous capacity planning and performance debugging in many computer systems. Simply put, a brittle model is ...