605 search results - page 59 / 121 » Markov Models for Biogeography-Based Optimization |
JMLR
2010
13 years 4 months ago
2010
This paper introduces a Bayesian algorithm for constructing predictive models from data that are optimized to predict a target variable well for a particular instance. This algori...
PRDC
2000
IEEE
14 years 1 months ago
2000
IEEE
In this paper, we extend the classical result by Huang, Kintala, Kolettis and Fulton (1995), and in addition propose a modified stochastic model to determine the software rejuvena...
COMPSAC
2008
IEEE
14 years 4 months ago
2008
IEEE
This work introduces probabilistic model checking as a viable tool-assisted approach for systematically quantifying DoS security threats. The proposed analysis is based on a proba...
BMCBI
2005
13 years 10 months ago
2005
Background: Baum-Welch training is an expectation-maximisation algorithm for training the emission and transition probabilities of hidden Markov models in a fully automated way. I...
ROBOCUP
2007
Springer
14 years 4 months ago
2007
Springer
Abstract. Two main challenges of robot action planning in real domains are uncertain action effects and dynamic environments. In this paper, an instance-based action model is lear...