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Fisher information
Results: 521

#	Item
131	A Course in Machine Learning Hal Daumé III 7 \| P ROBABILISTIC M ODELING Add to Reading List Source URL: ciml.info Language: English - Date: 2014-09-24 16:08:29 Bayesian statistics Statistical classification Maximum likelihood Naive Bayes classifier Likelihood function Likelihood-ratio test Kullback–Leibler divergence Fisher information Statistics Statistical theory Estimation theory
132	Information bounds for Gaussian copulas Add to Reading List Source URL: www.stat.washington.edu Language: English - Date: 2014-03-04 18:56:11 Bayesian statistics M-estimators Maximum likelihood Copula Marginal likelihood Fisher information Likelihood function Multivariate normal distribution Parametric model Statistics Estimation theory Statistical theory
133	Towards Understanding IT Security Professionals and Their Tools David Botta, Rodrigo Werlinger, Andre´ Gagne´ Konstantin Beznosov, Lee Iverson, Sidney Fels, Brian Fisher University of British Columbia, Vancouver, Canad Add to Reading List Source URL: cups.cs.cmu.edu Language: English - Date: 2007-06-01 12:05:22 National security Computer security Safety Software testing Vulnerability Information security Emergency management Usability Computer-assisted web interviewing Security Public safety Crime prevention
134	Web: http://www.cs.cmu.edu/∼suvrit Social: Add to Reading List Source URL: suvrit.de Language: English - Date: 2014-07-29 23:14:04 Learning Machine learning Von Mises–Fisher distribution Conference on Neural Information Processing Systems Support vector machine ALGOL 68 Mathematical optimization Data mining Feature selection Statistics Computational neuroscience Cybernetics
135	Testing for Informativeness in Analytic Inference from Complex Surveys 3 F. Jay Breidt1,3 , Jean D. Opsomer1 , Wade Herndon1 , Ricard Cao2 , Add to Reading List Source URL: www.statistics.gov.hk Language: English - Date: 2013-08-22 04:39:21 Statistical inference Statistical theory Regression analysis Linear regression Likelihood function Confidence interval Maximum likelihood Fisher information Akaike information criterion Statistics Estimation theory Econometrics
136	On derivation of stagewise second-order backpropagation by invariant imbedding for multi-stage neural-network learning Eiji Mizutani and Stuart Dreyfus Abstract— We present a simple, intuitive argument based on “inva Add to Reading List Source URL: www.ieor.berkeley.edu Language: English - Date: 2008-07-16 21:59:53 Statistics Statistical theory Matrices Science Fisher information Rotation matrix Dimensional analysis Measurement Estimation theory
137	On practical use of stagewise second-order backpropagation for multi-stage neural-network learning Eiji Mizutani and Stuart Dreyfus Abstract— We analyze the Hessian matrix H of the sumsquared-error measure for multilay Add to Reading List Source URL: www.ieor.berkeley.edu Language: English - Date: 2008-07-16 21:59:52 Neural networks Matrices Multivariable calculus Singular value decomposition Design of experiments Fisher information Hessian matrix Multilayer perceptron Artificial neuron Algebra Mathematics Linear algebra
138	Statistical Inference and Learning- Ex-3 Jonathan Rosenblatt and Boaz Nadler due on JanQ1 Let Xi be n i.i.d. samples from a P oisson(λ) distribution. Find an α level most powerful test for testing H0 : λ = 1 Add to Reading List Source URL: www.wisdom.weizmann.ac.il Language: English - Date: 2015-01-15 03:05:51 Exponentials Econometrics Maximum likelihood Sufficient statistic Exponential family Normal distribution Confidence interval Fisher information Conjugate prior Statistics Statistical theory Estimation theory
139	PSYCHOMETRIKA — VOL . 78, NO . 4, O CTOBER 2013 DOI : S 685–709 Add to Reading List Source URL: www.gllamm.org Language: English - Date: 2013-12-31 21:07:03 Estimator Fisher information Likelihood function Point estimation Linear regression Empirical Bayes method Mean squared error Bias of an estimator Maximum spacing estimation Statistics Estimation theory Maximum likelihood
140	Solid Earth, 5, 631–639, 2014 www.solid-earth.netdoi:se © Author(sCC Attribution 3.0 License. Modelling complex geological circular data with the projected Add to Reading List Source URL: www.solid-earth.net Language: English - Date: 2014-12-05 06:37:25 Statistical theory Statistical models Bayesian statistics Von Mises distribution Von Mises–Fisher distribution Maximum likelihood Mixture model Expectation–maximization algorithm Deviance information criterion Statistics Directional statistics Estimation theory

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