4255 search results - page 263 / 851 » On Learning Boolean Functions |
158
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ICANN
2009
Springer
15 years 11 months ago
2009
Springer
This paper proposes a modelling of Support Vector Machine (SVM) learning to address the problem of learning with sloppy labels. In binary classification, learning with sloppy labe...
183
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ECML
2006
Springer
15 years 10 months ago
2006
Springer
Reinforcement learning in real-world domains suffers from three curses of dimensionality: explosions in state and action spaces, and high stochasticity. We present approaches that ...
205
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WSC
2007
15 years 9 months ago
2007
Adaptive Time Warp protocols in the literature are usually based on a pre-defined analytic model of the system, expressed as a closed form function that maps system state to cont...
176
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HEURISTICS
2008
15 years 6 months ago
2008
This paper investigates how to make improved action selection for online policy learning in robotic scenarios using reinforcement learning (RL) algorithms. Since finding control po...
168
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ICML
2003
IEEE
16 years 7 months ago
2003
IEEE
The paper explores a very simple agent design method called Q-decomposition, wherein a complex agent is built from simpler subagents. Each subagent has its own reward function and...