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» Fast Computation of Data Correlation Using BDDs
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JMLR
2006
389views more  JMLR 2006»
15 years 3 months ago
A Very Fast Learning Method for Neural Networks Based on Sensitivity Analysis
This paper introduces a learning method for two-layer feedforward neural networks based on sensitivity analysis, which uses a linear training algorithm for each of the two layers....
Enrique Castillo, Bertha Guijarro-Berdiñas,...
PLDI
1996
ACM
15 years 7 months ago
Fast, Effective Dynamic Compilation
Dynamic compilation enables optimizations based on the values of invariant data computed at run-time. Using the values of these runtime constants, a dynamic compiler can eliminate...
Joel Auslander, Matthai Philipose, Craig Chambers,...
ICML
2010
IEEE
15 years 4 months ago
Learning Fast Approximations of Sparse Coding
In Sparse Coding (SC), input vectors are reconstructed using a sparse linear combination of basis vectors. SC has become a popular method for extracting features from data. For a ...
Karol Gregor, Yann LeCun
ICDCS
2007
IEEE
15 years 9 months ago
Distributed Density Estimation Using Non-parametric Statistics
Learning the underlying model from distributed data is often useful for many distributed systems. In this paper, we study the problem of learning a non-parametric model from distr...
Yusuo Hu, Hua Chen, Jian-Guang Lou, Jiang Li
FSE
1998
Springer
79views Cryptology» more  FSE 1998»
15 years 7 months ago
On the Design and Security of RC2
The block cipher RC2 was designed in 1989 by Ron Rivest for RSA Data Security Inc. In this paper we describe both the cipher and preliminary attempts to use both differential and l...
Lars R. Knudsen, Vincent Rijmen, Ronald L. Rivest,...