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» A Quantitative Theory of Neural Computation
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IJCNN
2000
IEEE
15 years 4 months ago
On Derivation of MLP Backpropagation from the Kelley-Bryson Optimal-Control Gradient Formula and Its Application
The well-known backpropagation (BP) derivative computation process for multilayer perceptrons (MLP) learning can be viewed as a simplified version of the Kelley-Bryson gradient f...
Eiji Mizutani, Stuart E. Dreyfus, Kenichi Nishio
CONCUR
2009
Springer
15 years 6 months ago
Probabilistic Weighted Automata
Nondeterministic weighted automata are finite automata with numerical weights on transitions. They define quantitative languages L that assign to each word w a real number L(w). ...
Krishnendu Chatterjee, Laurent Doyen, Thomas A. He...
MFCS
2005
Springer
15 years 5 months ago
Dimension Is Compression
Abstract. Effective fractal dimension was defined by Lutz (2003) in order to quantitatively analyze the structure of complexity classes. Interesting connections of effective dim...
María López-Valdés, Elvira Ma...
COMBINATORICA
2011
13 years 11 months ago
Binary subtrees with few labeled paths
We prove several quantitative Ramseyan results involving ternary complete trees with {0, 1}-labeled edges where we attempt to find a complete binary subtree with as few labels as ...
Rodney G. Downey, Noam Greenberg, Carl G. Jockusch...
CHI
2009
ACM
16 years 12 days ago
Critical methods and user generated content: the iPhone on YouTube
Sites like YouTube offer vast sources of data for studies of Human Computer Interaction (HCI). However, they also present a number of methodological challenges. This paper offers ...
Mark Blythe, Paul A. Cairns