1329 search results - page 234 / 266 » Randomly Sampling Molecules |
MM
2005
ACM
14 years 1 months ago
2005
ACM
alization is a combination of abstract generated forms and found imagery. The frequency, amplitude, and percentage differences between samples of incoming data are mapped to forms ...
AMAI
2004
Springer
14 years 1 months ago
2004
Springer
Learning the parameters (conditional and marginal probabilities) from a data set is a common method of building a belief network. Consider the situation where we have known graph s...
IPSN
2004
Springer
14 years 1 months ago
2004
Springer
Due to constraints in cost, power, and communication, losses often arise in large sensor networks. The sensor can be modeled as an output of a linear stochastic system with random...
AUSAI
2003
Springer
14 years 29 days ago
2003
Springer
An important task in machine learning is determining which learning algorithm works best for a given data set. When the amount of data is small the same data needs to be used repea...
STOC
2010
ACM
14 years 17 days ago
2010
ACM
The Steiner tree problem is one of the most fundamental ÆÈ-hard problems: given a weighted undirected graph and a subset of terminal nodes, find a minimum weight tree spanning ...