9 search results - page 2 / 2 » A DSL for Explaining Probabilistic Reasoning |
NIPS
2004
13 years 6 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...
STTT
2008
13 years 5 months ago
2008
1 This papers introduces a generic framework for OBDD variants with weighted edges. It covers many boolean and multi-valued OBDD-variants that have been studied in the literature a...
ISIPTA
1999
IEEE
13 years 9 months ago
1999
IEEE
The purpose of this note is to describe the underlying insights and results obtained by the authors, and others, in a series of papers aimed at modelling the distribution of `natu...
ILP
2005
Springer
13 years 10 months ago
2005
Springer
In this paper we survey work being conducted at Imperial College on the use of machine learning to build Systems Biology models of the effects of toxins on biochemical pathways. Se...