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....
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,...
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 ...
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...
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,...