1521 search results - page 34 / 305 » A learning model for oscillatory networks |
ICML
1997
IEEE
14 years 9 months ago
1997
IEEE
Machine learning techniques are applicable to computer system optimization. We show that shared memory multiprocessors can successfully utilize machine learning algorithms for mem...
IROS
2009
IEEE
14 years 3 months ago
2009
IEEE
— Tool-body assimilation is one of the intelligent human abilities. Through trial and experience, humans are capable of using tools as if they are part of their own bodies. This ...
IJCNN
2006
IEEE
14 years 2 months ago
2006
IEEE
— Handling catastrophic forgetting is an interesting and challenging topic in modeling the memory mechanisms of the human brain using machine learning models. From a more general...
JMLR
2006
13 years 8 months ago
2006
We study the computational and sample complexity of parameter and structure learning in graphical models. Our main result shows that the class of factor graphs with bounded degree...
IJCAI
2003
13 years 9 months ago
2003
Bayesian network models are widely used for discriminative prediction tasks such as classification. Usually their parameters are determined using 'unsupervised' methods ...