4128 search results - page 299 / 826 » Learning and using relational theories |
188
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HIS
2007
15 years 8 months ago
2007
Meta-Learning has been used to relate the performance of algorithms and the features of the problems being tackled. The knowledge in Meta-Learning is acquired from a set of meta-e...
167
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IJCAI
1989
15 years 7 months ago
1989
Classification methods from statistical pattern recognition, neural nets, and machine learning were applied to four real-world data sets. Each of these data sets has been previous...
180
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ISCAS
2002
IEEE
15 years 11 months ago
2002
IEEE
We have implemented an aspect of learning and memory in the nervous system using analog electronics. Using a simple synaptic circuit we realize networks with Hebbian type adaptati...
221
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GECCO
2009
Springer
15 years 11 months ago
2009
Springer
Nowadays, object recognition is widely studied under the paradigm of matching local features. This work describes a genetic programming methodology that synthesizes mathematical e...
191
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NIPS
1998
15 years 8 months ago
1998
Inference is a key component in learning probabilistic models from partially observable data. When learning temporal models, each of the many inference phases requires a complete ...