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» Relational Reinforcement Learning
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KI
2008
Springer
15 years 6 months ago
Autonomous Learning of User's Preferences Improved through User Feedback
Ambient Intelligent (AmI) environments are supposed to act proactively anticipating the user's needs and preferences, therefore the capability of an AmI system to learn those ...
Asier Aztiria, Juan Carlos Augusto, Alberto Izagui...
ICML
2003
IEEE
16 years 7 months ago
The Cross Entropy Method for Fast Policy Search
We present a learning framework for Markovian decision processes that is based on optimization in the policy space. Instead of using relatively slow gradient-based optimization al...
Shie Mannor, Reuven Y. Rubinstein, Yohai Gat
VL
2007
IEEE
123views Visual Languages» more  VL 2007»
16 years 1 months ago
Introductory Computing Construct Use in an End-User Programming Community
Previous studies of end-user programmers have indicated a reliance on related examples for learning. Accordingly, we analyzed the projects contained in an online community with re...
Brian Dorn, Allison Elliott Tew, Mark Guzdial
ICANN
2005
Springer
16 years 12 days ago
A Gradient Rule for the Plasticity of a Neuron's Intrinsic Excitability
While synaptic learning mechanisms have always been a core topic of neural computation research, there has been relatively little work on intrinsic learning processes, which change...
Jochen Triesch
ICDE
2007
IEEE
96views Database» more  ICDE 2007»
15 years 10 months ago
Mining Software Data
Data mining techniques and machine learning methods are commonly used in several disciplines. It is possible that they could also provide a basis for quality assessment of softwar...
Burak Turhan, F. Onur Kutlubay