2030 search results - page 13 / 406 » Estimation of Chaotic Probabilities |
TSMC
2010
13 years 2 months ago
2010
A generalized or tunable-kernel model is proposed for probability density function estimation based on an orthogonal forward regression procedure. Each stage of the density estimat...
ISCAS
2006
IEEE
14 years 1 months ago
2006
IEEE
—Probability Density Function (PDF) estimation is a very critical task in many applications of data analysis. For example in the Bayesian framework decisions are taken according ...
ECML
2005
Springer
14 years 1 months ago
2005
Springer
Active selection of good training examples is an important approach to reducing data-collection costs in machine learning; however, most existing methods focus on maximizing classi...
AMDO
2008
Springer
13 years 9 months ago
2008
Springer
The main focus of this paper is to present a method of reusing motion captured data by learning a generative model of motion. The model allows synthesis and blending of cyclic moti...
DCC
2011
IEEE
13 years 2 months ago
2011
IEEE
Abstract Many attacks on encryption schemes rely on statistical considerations using plaintext/ciphertext pairs to find some information on the key. We provide here simple formula...