1800 search results - page 178 / 360 » Learning Restart Strategies |
173
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CEEMAS
2003
Springer
15 years 10 months ago
2003
Springer
Modeling learning agents in the context of Multi-agent Systems requires an adequate understanding of their dynamic behaviour. Usually, these agents are modeled similar to the di�...
178
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ICML
2000
IEEE
15 years 9 months ago
2000
IEEE
In this paper, we describe our research in computer-aided image analysis. We have incorporated machine learning methodologies with traditional image processing to perform unsuperv...
149
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CIARP
2006
Springer
15 years 7 months ago
2006
Springer
The Neural Gas (NG) is a Vector Quantization technique where a set of prototypes self organize to represent the topology structure of the data. The learning algorithm of the Neural...
148
Voted
AAAI
2010
15 years 6 months ago
2010
Recent advancements in model-based reinforcement learning have shown that the dynamics of many structured domains (e.g. DBNs) can be learned with tractable sample complexity, desp...
127
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IJCAI
2007
15 years 6 months ago
2007
We present a general machine learning framework for modelling the phenomenon of missing information in data. We propose a masking process model to capture the stochastic nature of...