335 search results - page 13 / 67 » Kernel Machines and Boolean Functions |
CCS
2006
ACM
13 years 11 months ago
2006
ACM
Let us have an NLFSR with the feedback function g(x) and an LFSR with the generating polynomial f(x). The function g(x) is a Boolean function on the state of the NLFSR and the LFS...
JMLR
2006
13 years 7 months ago
2006
Many kernel learning algorithms, including support vector machines, result in a kernel machine, such as a kernel classifier, whose key component is a weight vector in a feature sp...
ICPR
2006
IEEE
14 years 8 months ago
2006
IEEE
In this paper we propose an alternative interpretation of Bayesian learning based on maximal evidence principle. We establish a notion of local evidence which can be viewed as a c...
IJCNN
2006
IEEE
14 years 1 months ago
2006
IEEE
— In this paper, we show that one-class SVMs can also utilize data covariance in a robust manner to improve performance. Furthermore, by constraining the desired kernel function ...
Book
This is an introductory book about machine learning. Notice that this is a draft book. It may contain typos, mistakes, etc.
The book covers the following topics: Boolean Functio...