- Homeomorphic-Invariance of EM: Non-Asymptotic Convergence in KL Divergence for Exponential Families via Mirror Descent
2020/11/02 by Frederik Künstner, Raunak Kumar, Kunstner, Frederik +3 · 4 citations
Computer Science · Mathematics · #Applied mathematics #Artificial intelligence #Artificial neural network #Bayesian Methods and Mixture Models #Bayesian Modeling and Causal Inference #Bregman divergence #Computer science #Convergence (economics) #Divergence (linguistics) #Expectation–maximization algorithm #Exponential family #Exponential function #FOS: Computer and information sciences #Gaussian #Gaussian Processes and Bayesian Inference #Gradient descent #Invariant (physics) #Kullback–Leibler divergence #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Mathematical analysis #Mathematical optimization #Mathematics #Maximum likelihood #Parametrization (atmospheric modeling) #Physics #Probabilistic logic #Statistical Methods and Inference #Statistics
- Bayesian model selection for the latent position cluster model for Social Networks
2017/02/01 by Caitriona Ryan, Caitríona M. Ryan, Jason Wyse +4 · 2 citations
Computer Science · Mathematics · #Artificial intelligence #Bayesian Methods and Mixture Models #Bayesian inference #Bayesian linear regression #Bayesian probability #Computation (stat.CO) #Computer science #Conjugate prior #Expectation–maximization algorithm #FOS: Computer and information sciences #Inference #Latent class model #Latent variable #Latent variable model #Machine learning #Markov chain Monte Carlo #Mathematics #Maximum likelihood #Mixture model #Model selection #Position (finance) #Posterior predictive distribution #Posterior probability #Reversible-jump Markov chain Monte Carlo #Statistical Methods and Bayesian Inference #Statistical Methods and Inference #Statistical model #Statistics #stat.CO
- K-MLE: A fast algorithm for learning statistical mixture models
2012/03/01 by Frank Nielsen · 1 citation
Computer Science · Mathematics · #Advanced Clustering Algorithms Research #Algorithm #Applied mathematics #Artificial intelligence #Bayesian Methods and Mixture Models #Computer science #Estimator #Expectation–maximization algorithm #Exponential family #Exponential function #Gaussian #Image Retrieval and Classification Techniques #Initialization #Mathematics #Maximum likelihood #Mixture model #Pattern recognition (psychology) #Physics #Statistical model #Statistics #cs.LG #stat.ML
- Solving Inverse Problems With Piecewise Linear Estimators: From Gaussian Mixture Models to Structured Sparsity
2011/12/15 by Guoshen Yu, Guillermo Sapiro, Stéphane Mallat · 2 citations
Engineering · Computer Science · Mathematics · #Sparse and Compressive Sensing Techniques #Image and Signal Denoising Methods #Advanced Image Processing Techniques #Deblurring #Inverse problem #Mathematics #Piecewise #Mathematical optimization #Interpolation (computer graphics) #Algorithm #Maximum a posteriori estimation #Estimator #Gaussian #Expectation–maximization algorithm #Applied mathematics #Image (mathematics) #Computer science #Image processing #Image restoration #Artificial intelligence #Maximum likelihood
- Point Set Registration: Coherent Point Drift
2009/05/15 by Andriy Myronenko, Xubo Song · 4 citations
Computer Science · Engineering · Mathematics · #Advanced Image and Video Retrieval Techniques #Advanced Vision and Imaging #Algorithm #Artificial intelligence #Centroid #Computer science #Expectation–maximization algorithm #Image (mathematics) #Mathematics #Mixture model #Noise (video) #Outlier #Pattern recognition (psychology) #Point (geometry) #Point set registration #Rigid transformation #Robotics and Sensor-Based Localization #Transformation (genetics) #cs.CV
- hsmm — An R package for analyzing hidden semi-Markov models
2008/08/28 by Jan Bulla, Ingo Bulla, Oleg Nenadić · 1 citation
Computer Science · Mathematics · #Algorithm #Artificial intelligence #Bayesian Methods and Mixture Models #Bayesian probability #Censoring (clinical trials) #Computer science #Econometrics #Expectation–maximization algorithm #Forward algorithm #Hidden Markov model #Hidden semi-Markov model #Machine learning #Markov Chains and Monte Carlo Methods #Markov chain #Markov chain Monte Carlo #Markov model #Markov property #Mathematics #Maximum likelihood #Sequence (biology) #Statistical Methods and Bayesian Inference #Statistics #Variable-order Markov model #Viterbi algorithm
- Signal Modeling and Classification Using a Robust Latent Space Model Based on t Distributions
2008/01/01 by Sotirios Chatzis, Dimitrios Kosmopoulos, Theodora Varvarigou · 1 citation
Computer Science · Mathematics · #Bayesian Methods and Mixture Models #Statistical Methods and Inference #Advanced Statistical Methods and Models #Overfitting #Computer science #Covariance #Expectation–maximization algorithm #Outlier #Algorithm #Mixture model #Statistical model #Gaussian process #Artificial intelligence #Mathematics #Pattern recognition (psychology) #Gaussian #Statistics #Artificial neural network
- Active Set and EM Algorithms for Log-Concave Densities Based on Complete\n and Censored Data
2007/07/31 by Lutz Duembgen, Andre Huesler, Duembgen, Lutz +3 · 1 citation
Computer Science · Mathematics · #Algorithm #Bayesian Methods and Mixture Models #Census and Population Estimation #Computation (stat.CO) #Computer science #Data set #Expectation–maximization algorithm #FOS: Computer and information sciences #Mathematics #Maximum likelihood #Methodology (stat.ME) #Set (abstract data type) #Statistical Methods and Inference #Statistics #stat.CO #stat.ME
- Diluted maximum-likelihood algorithm for quantum tomography
2006/11/30 by J. Řeháček, Jaroslav Rehacek, Zdenek Hradil +4 · 2 citations
Computer Science · Mathematics · Physics and Astronomy · #Algorithm #Applied mathematics #Cold Atom Physics and Bose-Einstein Condensates #Computer science #Convergence (economics) #Direct-conversion receiver #Expectation–maximization algorithm #Homodyne detection #Iterative method #Mathematical optimization #Mathematics #Maximization #Maximum likelihood #Optics #Physics #Quantum #Quantum Information and Cryptography #Quantum Mechanics and Applications #Quantum mechanics #Quantum state #Quantum tomography #Rate of convergence #Statistics #Telecommunications #Tomography #quant-ph
- Global Likelihood Optimization Via the Cross-Entropy Method, with an Application to Mixture Models
2005/04/05 by Zdravko I. Botev, Dirk P. Kroese · 1 citation
Computer Science · Physics and Astronomy · Mathematics · #Bayesian Methods and Mixture Models #Gaussian Processes and Bayesian Inference #Statistical Mechanics and Entropy #Entropy maximization #Likelihood function #Computer science #Maximization #Entropy (arrow of time) #Cross entropy #Expectation–maximization algorithm #Maximum likelihood #Mixture model #Principle of maximum entropy #Cross-entropy method #Mathematical optimization #Estimation theory #Algorithm #Mathematics #Statistics #Artificial intelligence #Optimization problem
- Unsupervised learning of finite mixture models
2002/03/01 by Mário A. T. Figueiredo, Anil K. Jain · 3 citations
Computer Science · Mathematics · #Bayesian Methods and Mixture Models #Machine Learning and Algorithms #Target Tracking and Data Fusion in Sensor Networks #Mixture model #Expectation–maximization algorithm #Initialization #Computer science #Model selection #Unsupervised learning #Artificial intelligence #Convergence (economics) #Gaussian process #Parametric statistics #Algorithm #Pattern recognition (psychology) #Gaussian #Mathematics #Maximum likelihood
- R.A. Fisher and the making of maximum likelihood 1912-1922
1997/09/01 by John Aldrich · 4 citations
Decision Sciences · Mathematics · #Grey System Theory Applications #Fisher information #Maximum likelihood #Scoring algorithm #Likelihood principle #Statistics #Maximum likelihood sequence estimation #Mathematics #Econometrics #Restricted maximum likelihood #Marginal likelihood #Applied mathematics #Expectation–maximization algorithm #Computer science #Mathematical economics #Quasi-maximum likelihood
- A Joint Model for Survival and Longitudinal Data Measured with Error
1997/03/01 by Michael S. Wulfsohn, Michael Wulfsohn, Anastasios A. Tsiatis · 55 citations
Mathematics · Medicine · #Advanced Causal Inference Techniques #Covariate #Econometrics #Expectation–maximization algorithm #Mathematical optimization #Mathematics #Maximization #Maximum likelihood #Medicine #Proportional hazards model #Random effects model #Regression analysis #Statistical Methods and Bayesian Inference #Statistical Methods and Inference #Statistics
- Multi-modal volume registration by maximization of mutual information
1996/03/01 by William M. Wells, Paul Viola, Hideki Atsumi +2 · 1 citation
Computer Science · Engineering · Mathematics · Medicine · #Advanced Image Fusion Techniques #Artificial intelligence #Computer science #Computer vision #Expectation–maximization algorithm #Image (mathematics) #Image registration #Mathematical optimization #Mathematics #Maximization #Maximum likelihood #Medical Image Segmentation Techniques #Medical Imaging Techniques and Applications #Medical imaging #Mutual information #Orientation (vector space) #Position (finance) #Segmentation #Volume (thermodynamics)
- Maximum Likelihood Identification of Gaussian Autoregressive Moving Average Models
1973/08/01 by Hirotugu Akaike · 1 citation
Engineering · Computer Science · Physics and Astronomy · Mathematics · #Control Systems and Identification #Gaussian Processes and Bayesian Inference #Scientific Research and Discoveries #Hessian matrix #Mathematics #Autoregressive model #Applied mathematics #Hessian equation #Likelihood function #Maximization #Autoregressive–moving-average model #Gaussian #Function (biology) #Expectation–maximization algorithm #Realization (probability) #Gaussian process #Estimation theory #Mathematical optimization #Statistics #Maximum likelihood #Mathematical analysis #Partial differential equation