NSW HMMS state council Executive Officer ’s Annual Report 2008~2009 FYE

Source URL: www.nswhmms.org.au

• HMMS
• Occupational therapy
• Medicine
• Ageing
• Disability and Home Care NSW
• Elderly care

MAXIMUM-LIKELIHOOD ADAPTATION OF SEMI-CONTINUOUS HMMS BY LATENT VARIABLE DECOMPOSITION OF STATE DISTRIBUTIONS Antoine Raux and Rita Singh School of Computer Science, Carnegie Mellon University, USA {antoine, rsingh}@cs.c

Source URL: www.cs.cmu.edu

• Markov models
• Estimation theory
• Bioinformatics
• Hidden Markov model
• Statistical models
• Probabilistic latent semantic analysis
• Expectation–maximization algorithm
• Mixture model
• Singular value decomposition
• Statistics
• Algebra
• Mathematics

Bat Species Identification from Zero Crossing and Full Spectrum Echolocation Calls using HMMs, Fisher Scores, Unsupervised Clustering and Balanced Winnow Pairwise Classifiers Ian Agranat, Wildlife Acoustics, Inc. Concord

Source URL: www.wildlifeacoustics.com

• Animal communication
• Mouse-eared bats
• Acoustics
• Zoosemiotics
• Bat species identification
• Wildlife Acoustics
• Animal echolocation
• Bat
• Little brown bat
• Zoology
• Bats
• Biology

Fast Algorithms for Large-State-Space HMMs with Applications to Web Usage Analysis Pedro F. Felzenszwalb1 , Daniel P. Huttenlocher2 , Jon M. Kleinberg2 1

Source URL: www.cs.cornell.edu

• Probability and statistics
• Dynamic programming
• Bioinformatics
• Hidden Markov model
• Viterbi algorithm
• Computational linguistics
• Expectation–maximization algorithm
• Forward–backward algorithm
• Markov chain
• Markov models
• Statistics
• Error detection and correction

On learning parametric-output HMMs Aryeh Kontorovich Department of Computer Science, Ben-Gurion University, Beer Sheva 84105, Israel. Boaz Nadler

Source URL: www.wisdom.weizmann.ac.il

• Hidden Markov model
• Markov chain
• Expectation–maximization algorithm
• Mixture model
• Normal distribution
• Baum–Welch algorithm
• Speech recognition
• Stochastic matrix
• Variance
• Statistics
• Markov models
• Probability and statistics

TRECVID 2011 TokyoTech+Canon Multimedia Event Detection using GS-SVMs and Audio-HMMs Nakamasa Inoue, Yusuke Kamishima,

Source URL: www-nlpir.nist.gov

• Support vector machine
• Silicon Valley Microelectronics
• Scale-invariant feature transform
• SVM
• Mel-frequency cepstrum
• TRECVID
• Artificial intelligence
• Statistics
• Computer vision
• Statistical classification

HMMs for Optimal Detection of Cybernet Attacks Justin Grana David Wolpert Joshua Neil Dongping Xie

Source URL: www.santafe.edu

• Malware
• Graph theory
• Networks
• Graphical models
• Bioinformatics
• Hidden Markov model
• Rope

Microsoft PowerPoint - HMMs.ppt [Compatibility Mode]

Source URL: www.kiss.caltech.edu

• Markov chain
• Viterbi algorithm
• Speech recognition
• Expectation–maximization algorithm
• Hidden semi-Markov model
• Markov property
• Statistics
• Markov models
• Probability and statistics

Membership Application f YES! 1 would like to become a member of the Healthcare Materials Management Society of NJ Please print the following form, complete it, and mail it with dues to (check made out HMMS-NJ):

Source URL: www.hmms-nj.org

• American Hospital Association
• Materials management
• Healthcare Financial Management Association

September 16, 2014 Cranbury Golf Club 49 Southfield Road West Windsor, NJ[removed]________________________________________________________

Source URL: www.hmms-nj.org