100 search results - page 1 / 20 » A general class of spreading processes with non-Markovian dy... |
ICML
2006
IEEE
14 years 5 months ago
2006
IEEE
We introduce Hidden Process Models (HPMs), a class of probabilistic models for multivariate time series data. The design of HPMs has been motivated by the challenges of modeling h...
CORR
2011
Springer
12 years 11 months ago
2011
Springer
Recent research in multi-robot exploration and mapping has focused on sampling environmental fields, which are typically modeled using the Gaussian process (GP). Existing informa...
EMISA
2002
Springer
13 years 4 months ago
2002
Springer
Abstract: This paper presents a new net-reduction methodology to facilitate the analysis of large workflow models. We propose an enhanced algorithm based on reducible subnet identi...
QEST
2010
IEEE
13 years 2 months ago
2010
IEEE
The method of stochastic state classes approaches the analysis of Generalised Semi Markov Processes (GSMP) through symbolic derivation of probability density functions over Differe...
ICNC
2005
Springer
13 years 10 months ago
2005
Springer
Abstract. Recently, there has been an outburst of interest in extending topographic maps of vectorial data to more general data structures, such as sequences or trees. The represen...