364 search results - page 63 / 73 » Regularization Learning of Neural Networks for Generalizatio... |
134
Voted
ANCS
2007
ACM
15 years 6 months ago
2007
ACM
Programming specialized network processors (NPU) is inherently difficult. Unlike mainstream processors where architectural features such as out-of-order execution and caches hide ...
112
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NIPS
1996
15 years 3 months ago
1996
Abstract. Validation can be used to detect when over tting starts during supervised training of a neural network; training is then stopped before convergence to avoid the over ttin...
135
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CIKM
2010
Springer
15 years 1 months ago
2010
Springer
Most existing content-based filtering approaches including Rocchio, Language Models, SVM, Logistic Regression, Neural Networks, etc. learn user profiles independently without ca...
138
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GECCO
2010
Springer
15 years 7 months ago
2010
Springer
An important goal for the generative and developmental systems (GDS) community is to show that GDS approaches can compete with more mainstream approaches in machine learning (ML)....
107
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NECO
2010
15 years 28 days ago
2010
Reinforcement learning models generally assume that a stimulus is presented that allows a learner to unambiguously identify the state of nature, and the reward received is drawn f...