Maximum likelihood - PDFSEARCH.IO - Document Search Engine

Maximum likelihood
Results: 2166

#	Item
771	Bayesian Locality Sensitive Hashing for Fast Similarity Search Venu Satuluri and Srinivasan Parthasarathy Dept. of Computer Science and Engineering The Ohio State University {satuluri,srini}@cse.ohio-state.edu Add to Reading List Source URL: vldb.org Language: English - Date: 2012-03-29 23:45:00 Search algorithms Information retrieval Machine learning Image processing Dimension reduction Locality-sensitive hashing Nearest neighbor search Jaccard index Maximum likelihood Information science Statistics Geometry
772	Exponential Parameter Estimation (in NMR) Using Bayesian Probability Theory G. LARRY BRETTHORST,1 WILLIAM C. HUTTON,1 JOEL R. GARBOW,1,2 JOSEPH J.H. ACKERMAN1–3 Add to Reading List Source URL: bayes.wustl.edu Language: English - Date: 2010-12-21 17:21:39 Estimation theory Statistical inference Bayesian inference Bayesian probability Prior probability Nuisance parameter Maximum likelihood Markov chain Probability Statistics Bayesian statistics Statistical theory
773	Signatures of Infinity: Nonergodicity and Resource Scaling in Prediction, Complexity, and Learning James P. Crutchfield Sarah Marzen Add to Reading List Source URL: www.santafe.edu Language: English - Date: 2015-04-03 15:58:21 Statistical theory Maximum likelihood Fisher information Entropy Divergence Markov chain Mutual information Likelihood function Parametric model Statistics Estimation theory Information theory
774	Simultaneous Image Classification and Annotation Chong Wang, David Blei, Li Fei-Fei Computer Science Department Princeton University {chongw, blei, feifeili}@cs.princeton.edu Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:23 Estimation theory Automatic image annotation Expectation–maximization algorithm Latent Dirichlet allocation Topic model Maximum likelihood LabelMe Annotation Dimensional analysis Statistics Artificial intelligence Statistical natural language processing
775	Microsoft Word - DYNAMIC CONDITIONAL BETA[removed] Add to Reading List Source URL: vlab.stern.nyu.edu Language: English - Date: 2015-03-10 14:57:19 Econometrics Parametric statistics Time series analysis Linear regression Autoregressive conditional heteroskedasticity Fisher information Ordinary least squares Maximum likelihood Kalman filter Statistics Estimation theory Regression analysis
776	16 Density Estimation We’ve learned more and more about how to describe and fit functions, but the decision to fit a function can itself be unduly restrictive. Instead of assuming a noise model for the data (such as G Add to Reading List Source URL: fab.cba.mit.edu Language: English - Date: 2014-04-14 17:27:29 Estimation theory Bayesian statistics Expectation–maximization algorithm Missing data Normal distribution Kernel density estimation Entropy Maximum likelihood Principle of maximum entropy Statistics Statistical theory Non-parametric statistics
777	Mass Estimation and Its Applications ∗ Kai Ming Ting, Guang-Tong Zhou , Fei Tony Liu, James Tan Swee Chuan † Add to Reading List Source URL: www.cs.sfu.ca Language: English - Date: 2013-09-06 18:14:15 Statistical theory Estimation theory M-estimators Kernel density estimation Maximum likelihood Robust statistics Gaussian function Density estimation Normal distribution Statistics Non-parametric statistics Machine learning
778	Frequency Estimation, Multiple Stationary Nonsinusoidal Resonances With Trend1 G. Larry Bretthorst Department of Chemistry, Washington University, St. Louis MO[removed]Abstract. In this paper, we address the problem of fre Add to Reading List Source URL: bayes.wustl.edu Language: English - Date: 2010-12-21 17:21:39 Bayesian probability Bayesian inference Prior probability Maximum likelihood Probability Normal distribution Principle of maximum entropy Acoustic resonance Normalizing constant Statistics Bayesian statistics Probability and statistics
779	6.867 Machine learning, lecture 16 (Jaakkola) 1 Lecture topics: • Mixture of Gaussians (cont’d) Add to Reading List Source URL: ocw.mit.edu Language: English - Date: 2015-03-15 16:36:56 Statistical theory M-estimators Expectation–maximization algorithm Missing data Maximum likelihood Mixture model Conjugate prior Likelihood function Normal distribution Statistics Estimation theory Bayesian statistics
780	Testing for a unit root in noncausal autoregressive models Add to Reading List Source URL: www.suomenpankki.fi Language: English - Date: 2013-11-20 06:24:19 Time series analysis Parametric statistics Estimation theory Normal distribution Linear least squares Autoregressive conditional heteroskedasticity Maximum likelihood Unit root Least squares Statistics Econometrics Regression analysis

UPDATE