Local Pulmonary Structure Classification for Computer-Aided Nodule Detection Claus Bahlmanna , Xianlin Lib and Kazunori Okadaa a Siemens Corporate Research, Inc., 755 College Road East, Princeton, NJ 08540, USA

Source URL: lmb.informatik.uni-freiburg.de

• Image processing
• Geometric topology
• Differential geometry
• Multivariate statistics
• Cluster analysis
• Expectation–maximization algorithm
• Segmentation
• Gaussian function
• Manifold
• Statistics
• Mathematics
• Machine learning

Statistics 582, Problem Set 1 Solutions Wellner; [removed]Lehmann and Casella, TPE, Problem 4.9, page 504. Solution: (a) The density of a bivariate normal random vector (X, Y ) with µ1 = µ2 = 0, variances σ12 ≡

Source URL: www.stat.washington.edu

• Expectation–maximization algorithm
• Missing data
• Multivariate normal distribution
• Maximum likelihood
• Symbol
• Orbifold
• Statistics
• Estimation theory
• Normal distribution

Quality & Values Statement Reilly Contractors places high value on maintaining our excellent reputation and building upon our business relationships. We aim not only to exceed client expectation but to be one of the mos

Source URL: www.reillycontractors.com.au

Mixed Membership Stochastic Blockmodels Edoardo M. Airoldi 1,2 , David M. Blei 1 , Stephen E. Fienberg 3,4 & Eric P. Xing 4∗ 1 Department of Computer Science, 2 Lewis-Sigler Institute, Princeton University 3

Source URL: www.cs.columbia.edu

• Missing data
• Bayesian statistics
• Kalman filter
• Latent Dirichlet allocation
• Constructible universe
• FO
• Kullback–Leibler divergence
• Variational Bayesian methods
• Statistics
• Estimation theory
• Expectation–maximization algorithm

Online Learning for Latent Dirichlet Allocation David M. Blei Department of Computer Science Princeton University Princeton, NJ

Source URL: www.cs.columbia.edu

• Markov models
• Bayesian statistics
• Latent Dirichlet allocation
• Expectation–maximization algorithm
• Variational Bayesian methods
• Markov chain
• Topic model
• Statistics
• Machine learning
• Statistical natural language processing

Inertial Hidden Markov Models: Modeling Change in Multivariate Time Series ˜ George D. Montanez Saeed Amizadeh

Source URL: labs.yahoo.com

• Hidden Markov model
• Markov chain
• Expectation–maximization algorithm
• Speech recognition
• Forward–backward algorithm
• Regularization
• Pattern recognition
• Hierarchical hidden Markov model
• Layered hidden Markov model
• Statistics
• Markov models
• Machine learning

2D shape recognition by Hidden Markov Models Manuele Bicego and Vittorio Murino Dip. di Infomatica, Univ. di Verona Strada Le Grazie!15, [removed]Verona, Italy. {bicegolmurino} @sci.univr.it

Source URL: profs.sci.univr.it

• Speech recognition
• Viterbi algorithm
• Markov chain
• Pattern recognition
• Expectation–maximization algorithm
• HMM
• Layered hidden Markov model
• Sequence labeling
• Statistics
• Markov models
• Hidden Markov model

Elsevier Editorial System(tm) for Pervasive and Mobile Computing Manuscript Draft Manuscript Number: PMC-D-08-00114R2 Title: Wearable-Sensor Activity Analysis Using Semi-Markov Models with a Grammar. Article Type: Resear

Source URL: www2.mta.ac.il

• Expectation–maximization algorithm
• Segmentation
• Markov chain
• Support vector machine
• Tree
• Statistics
• Markov models
• Hidden Markov model

Tata Consultancy Services  Tata Consultancy Services (TCS) reported Q3FY13 results which were largely in line with PLe/Consensus expectation. Revenue was touch ahead, whereas margin was stronger than expectation. The

Source URL: smartinvestor.business-standard.com

• States and territories of India
• Maharashtra
• Economy of Maharashtra
• Tata Consultancy Services
• Tata Group
• Financial ratio
• Earnings before interest
• taxes
• depreciation and amortization
• Infosys
• BSE Sensex
• Software companies of India
• Economy of India

Journal of Machine Learning Research[removed]1022 Submitted 2/02; Published 1/03 Latent Dirichlet Allocation David M. Blei

Source URL: www.cs.columbia.edu

• Latent Dirichlet allocation
• Probabilistic latent semantic analysis
• Mixture model
• Topic model
• Dirichlet distribution
• Expectation–maximization algorithm
• Multinomial distribution
• N-gram
• Maximum likelihood
• Statistics
• Probability and statistics
• Statistical natural language processing