Global ETD Search

Maximum likelihood Markov networks : an algorithmic approach

Srebro, Nathan, 1974-Massachusetts Institute of Technology2001

Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, February 2001.

mit Repository record for Maximum likelihood Markov networks : an algorithmic approach (opens in a new tab)

Dynamic Markov networks using an extended relational data model.

Srinivas, SudhaFaculty of Graduate Studies and Research, University of Regina2001

regina Repository record for Dynamic Markov networks using an extended relational data model. (opens in a new tab)

Multivariate Markov networks for fitness modelling in an estimation of distribution algorithm.

Brownlee, Alexander Edward IanRobert Gordon University2009

… This thesis expands on recent work using a Markov network to model fitness in an EDA, resulting in what we call the Markov Fitness Model (MFM). The work has explored the theoretical foundations of the MFM approach which are grounded in Walsh analysis of fitness functions. This has allowed us …

rgu Repository record for Multivariate Markov networks for fitness modelling in an estimation of distribution algorithm. (opens in a new tab)

Inferential Methods to Find Differences in Population of Graphical Models with Applications to Functional Connectomics

Narayan, ManjariRice University2016

… connectivity is commonly described using networks where nodes correspond to brain locations or regions, electrodes, circuits or neurons while edges correspond to some notion of statistical dependence. Such net- work models are increasingly used in clinical neuroimaging where scientists …

rice Repository record for Inferential Methods to Find Differences in Population of Graphical Models with Applications to Functional Connectomics (opens in a new tab)