Journal of Machine Learning Research747 Submitted 10/12; Revised 6/13; Published 2/14 Clustering Hidden Markov Models with Variational HEM Emanuele Coviello

Source URL: eceweb.ucsd.edu

• Statistics
• Markov models
• Machine learning
• Artificial intelligence
• Expectationmaximization algorithm
• Hidden Markov model
• BaumWelch algorithm
• Forward algorithm
• Mixture model
• Speech recognition
• Cluster analysis
• K-means clustering

A Space and Solar Physics Data Model from the SPASE Consortium Version: 2.2.0 Release Date: Document Generated: 2011-Jan-06

Source URL: spase-group.org

• Data management
• Computing
• Information technology
• Space Physics Archive Search and Extract
• Space research
• Information science
• Business intelligence
• Records management
• National Space Science Data Center
• Data model
• Resource fork

Fully Unsupervised Small-Vocabulary Speech Recognition Using a Segmental Bayesian Model Herman Kamper1,2 , Aren Jansen3 , Sharon Goldwater2 1 CSTR and 2 ILCC, School of Informatics, University of Edinburgh, UK

Source URL: www.cstr.inf.ed.ac.uk

• Statistics
• Machine learning
• Artificial intelligence
• Statistical models
• Markov models
• Language modeling
• Computational linguistics
• Mixture model
• Word embedding
• Image segmentation
• Hidden Markov model
• Speech recognition

Effects of epistasis and the evolution of genetic architecture: Exact results for a 2-locus model ∗1 ´ ´ M. Alvarez-Castro

Source URL: www.mabs.at

• Biology
• Genetics
• Classical genetics
• Evolutionary biology
• Population genetics
• Epistasis
• Genetic variance
• Quasi-linkage equilibrium
• Polygene
• Dominance
• Quantitative trait locus
• Genetic architecture

Genome Informatics 15(2): 121–Inference of Gene Regulatory Networks by Means of Dynamic Differential Bayesian Networks and

Source URL: www.jsbi.org

• Statistics
• Econometrics
• Statistical models
• Statistical theory
• Estimation theory
• Regression analysis
• Parametric model
• Linear regression
• Bayesian network

Clustered factor analysis of multineuronal spike data Lars Buesing1 , Timothy A. Machado1,2 , John P. Cunningham1 and Liam Paninski1 1 Department of Statistics, Center for Theoretical Neuroscience & Grossman Center for

Source URL: www.gatsby.ucl.ac.uk

• Statistics
• Applied mathematics
• Machine learning
• Cluster analysis
• Cybernetics
• Dimension reduction
• Computational neuroscience
• Mixture model
• K-means clustering
• Expectationmaximization algorithm
• Principal component analysis
• Artificial neural network

FACS Extension Logic Model, October 2012 Georgians Will Reduce Exposure to Indoor Environmental Hazards Situation: People spend close to 90% of their time indoors where they are exposed to 2 to 3 times as many contaminan

Source URL: spock.fcs.uga.edu

• Public health
• Building biology
• Safety
• Prevention
• Soil contamination
• Industrial gases
• Environmental health
• Carcinogens
• Radon
• Home safety
• Asthma
• Environmental hazard

Constraint Satisfaction with Counting Quantifiers⋆ Florent Madelaine1 , Barnaby Martin2⋆⋆ and Juraj Stacho3⋆ ⋆ ⋆ 2

Source URL: www.bedewell.com

• Computational complexity theory
• Logic
• Complexity classes
• Abstraction
• Metalogic
• Predicate logic
• Finite model theory
• IP
• FO
• Quantifier
• PSPACE-complete
• Model theory

2 Case study two: Tool 5 - Family model for assessment You can use this tool to help you consider the whole family in an assessment or review. What are the risk, stressors and vulnerability factors?

Source URL: carers.ripfa.org.uk

Third meeting of the European Model Company Law Group Luxembourg, 17th and 18th of September, Welcome by Pierre-Henri Conac 2. Introduction by Paul Krüger Andersen 3. Briefing by Rolf Skog on the ongoing discuss

Source URL: law.au.dk