27 search results - page 4 / 6 » Regular Inference for State Machines with Parameters |
PKDD
2009
Springer
13 years 11 months ago
2009
Springer
Abstract. This article presents a method for training Dynamic Factor Graphs (DFG) with continuous latent state variables. A DFG includes factors modeling joint probabilities betwee...
ICMLA
2010
13 years 3 months ago
2010
Quantum systems are promising candidates of future computing and information processing devices. In a large system, information about the quantum states and processes may be incomp...
AI
2006
Springer
13 years 5 months ago
2006
Springer
This article presents and analyzes algorithms that systematically generate random Bayesian networks of varying difficulty levels, with respect to inference using tree clustering. ...
ICML
2006
IEEE
14 years 6 months ago
2006
IEEE
A family of probabilistic time series models is developed to analyze the time evolution of topics in large document collections. The approach is to use state space models on the n...
ICML
2009
IEEE
14 years 6 months ago
2009
IEEE
Training principles for unsupervised learning are often derived from motivations that appear to be independent of supervised learning. In this paper we present a simple unificatio...