89 search results - page 11 / 18 » Introduction to modeling and generating probabilistic input ... |
NIPS
2004
13 years 9 months ago
2004
We use unsupervised probabilistic machine learning ideas to try to explain the kinds of learning observed in real neurons, the goal being to connect abstract principles of self-or...
ITC
1998
IEEE
13 years 12 months ago
1998
IEEE
This paper addresses the problem of efficiently and accurately generating two-vector tests for crosstalk induced effects, such as pulses, signal speedup and slowdown, in digital c...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
A novel framework for the factorisation of complex-valued data is derived using recent developments in complex statistics. Unlike existing factorisation tools the algorithms can c...
CPE
2003
Springer
14 years 24 days ago
2003
Springer
We describe the main features of SmArT, a software package providing a seamless environment for the logic and probabilistic analysis of complex systems. SmArT can combine differen...
AIPS
2003
13 years 9 months ago
2003
We propose a framework for policy generation in continuoustime stochastic domains with concurrent actions and events of uncertain duration. We make no assumptions regarding the co...