8970 search results - page 347 / 1794 » Learning to Learn Causal Models |
184
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NIPS
2007
15 years 8 months ago
2007
We present a probabilistic generative model of visual attributes, together with an efficient learning algorithm. Attributes are visual qualities of objects, such as ‘red’, ...
211
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IJCAI
2003
15 years 8 months ago
2003
Bayesian network models are widely used for discriminative prediction tasks such as classification. Usually their parameters are determined using 'unsupervised' methods ...
199
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GRAPHICSINTERFACE
2000
15 years 8 months ago
2000
We introduce a new metaphor for learning spatial relations--the 3D puzzle. With this metaphor users learn spatial relations by assembling a geometric model themselves. For this pu...
172
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BC
2000
15 years 6 months ago
2000
Long conduction delays in the nervous system prevent the accurate control of movements by feedback control alone. We present a new, biologically plausible cerebellar model to study...
239
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NN
2010
Springer
15 years 5 months ago
2010
Springer
This study shows that a mixture of RNN experts model can acquire the ability to generate sequences that are combination of multiple primitive patterns by means of self-organizing ...