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Statistical algorithms
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#	Item
21	Genome Informatics 13: 51–A Comparative Study on Feature Selection and Classification Methods Using Gene Expression Profiles Add to Reading List Source URL: www.jsbi.org Language: English - Date: 2002-12-09 05:53:38 Machine learning Artificial intelligence Learning Statistical classification Search algorithms Model selection Ensemble learning Support vector machine K-nearest neighbors algorithm Feature selection Pattern recognition Polynomial kernel
22	Bias in Natural Actor-Critic Algorithms Philip S. Thomas Department of Computer Science, University of Massachusetts, Amherst, MAUSA Add to Reading List Source URL: psthomas.com Language: English - Date: 2012-10-01 18:27:53 Statistics Statistical theory Estimation theory Dynamic programming Markov decision process Stochastic control Bias of an estimator Reinforcement learning Loss function Fisher information
23	Chapter 14 Regularization In several sections of this book we touched on the topic of regularization (see, e.g., §and §A variety of statistical procedures and machine learning algorithms employ regular Add to Reading List Source URL: johnstachurski.net Language: English - Date: 2016-06-24 09:25:50 Nonparametric statistics Kernel density estimation Density estimation Normal distribution Convolution Standard deviation Positive-definite kernel Multivariate kernel density estimation Kernel embedding of distributions
24	Identifying active travel behaviors in challenging environments using GPS, accelerometers, and machine learning algorithms Add to Reading List Source URL: eceweb.ucsd.edu Language: English - Date: 2015-07-31 19:00:26 Machine learning Global Positioning System Ensemble learning Supervised learning Random forest K-nearest neighbors algorithm GPS signals Accelerometer GPS navigation device Pattern recognition Statistical classification Support vector machine
25	Leveraging Algorithms for DATA-POP ALLIANCE Positive Disruption: Add to Reading List Source URL: datapopalliance.org Language: English - Date: 2016-08-01 11:42:29 Machine learning Cybernetics Algorithm Mathematical logic Theoretical computer science Big data Recommender system Statistical classification Program optimization
26	Using mutual proximity for novelty detection in audio music similarity Arthur Flexer? and Dominik Schnitzer Austrian Research Institute for Artificial Intelligence Freyung 6/6, Vienna, Austria Add to Reading List Source URL: www.ecmlpkdd2013.org Language: English - Date: 2013-10-31 16:17:08 Search algorithms Data mining K-nearest neighbors algorithm Machine learning Numerical analysis Statistical tests Outlier Receiver operating characteristic XTR Statistical hypothesis testing Normal distribution Curse of dimensionality
27	Estimating the Entropy of Natural Scenes from Nearest Neighbors using CUDA Paul Ivanov Vision Science Graduate Program Redwood Center for Theoretical Neuroscience University of California, Berkeley Method Add to Reading List Source URL: www.nvidia.com Language: English - Date: 2009-10-14 18:42:21 Information theory Randomness Search algorithms Statistical theory Philosophy of thermal and statistical physics Entropy K-nearest neighbors algorithm Nearest neighbor search
28	UNIVERSITY OF CALIFORNIA RIVERSIDE Multivariate Continuous-Time Models: Approximate Inference Algorithms and Medical Informatics Applications Add to Reading List Source URL: rlair.cs.ucr.edu Language: English - Date: 2016-03-21 12:22:45 Stochastic processes Graphical models Markov processes Bayesian network Networks Uniformization Probability distribution Algorithm Statistical inference Approximate inference Statistics Matrix
29	With the advent of massive data sets, statistical learning and information processing techniques are expected to enable unprecedented possibilities for better decision making. However, existing algorithms for mathematica Add to Reading List Source URL: mmds-data.org Language: English - Date: 2016-06-23 15:50:48 Mathematical optimization Cybernetics Operations research Machine learning Convex optimization Global optimization Book:Optimization
30	A Variational Analysis of Stochastic Gradient Algorithms Stephan Mandt , Matthew D. Hoffman , David M. Blei 1 2 Add to Reading List Source URL: www.stephanmandt.com Language: English - Date: 2016-06-23 13:49:43 Estimation theory Statistical theory Econometrics M-estimators Stochastic processes Loss function OrnsteinUhlenbeck process Stochastic gradient descent Likelihood function

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