Inference

Results: 10251



#Item
771Statistical inference / Statistical forecasting / Time series models / Time series analysis / Signal processing / Bootstrapping / Forecasting / Autoregressive model / Wind farm / Wind / Resampling / Prediction

Catching Uncertainty of Wind: A Blend of Sieve Bootstrap and Regime Switching Models for Probabilistic Short-term Forecasting of Wind Speed Yulia R. Gel University of Texas at Dallas, USA Vyacheslav Lyubchich

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Source URL: esc.cbl.umces.edu

Language: English - Date: 2015-08-24 23:44:33
772Reasoning / Epistemology / Charles Sanders Peirce / Philosophy of science / Logic / Abductive reasoning / Inquiry / Inference / Deduction / Inductive reasoning / Reason / Deductive reasoning

Nordic NSP Studies in Pragmatism Helsinki | 2010 Gerhard Minnameier

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Source URL: www.nordprag.org

Language: English - Date: 2014-04-05 09:38:50
773Type theory / Data types / Functional programming / Object-oriented programming / Polymorphism / Parametric polymorphism / Type inference / Type system / ML / Database / Type variable / Kind

Polymorphism and Type Inference in Database Programming PETER BUNEMAN University of Pennsylvania and ATSUSHI OHORI

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Source URL: homepages.inf.ed.ac.uk

Language: English - Date: 2006-12-31 07:06:17
774Machine learning / Computational statistics / Statistical models / Statistical theory / Statistical inference / Bootstrapping / Cross-validation / Statistics / Stability

Reproducibility is imperative for any scientific discovery. More often than not, modern scientific findings rely on statistical analysis of high-dimensional data. At a minimum, reproducibility manifests itself in stabili

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Source URL: mmds-data.org

Language: English - Date: 2016-06-23 15:50:48
775Graphical models / Markov models / Probability theory / Markov random field / Structured prediction / Bayesian network / Random field / Markov chain / Support vector machine / Markov logic network / Algorithm / Hidden Markov model

Hinge-loss Markov Random Fields: Convex Inference for Structured Prediction Stephen H. Bach Bert Huang

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Source URL: psl.umiacs.umd.edu

Language: English - Date: 2013-11-10 21:52:40
776Statistical inference / Estimation theory / Machine learning / Robust statistics / K-nearest neighbors algorithm / Statistical hypothesis testing / Statistical classification / Outlier / Pattern recognition / Estimator / Bayes estimator / Bootstrapping

Reject Options and Confidence Measures for kNN Classifiers∗ Christoph Dalitz Hochschule Niederrhein Fachbereich Elektrotechnik und Informatik Reinarzstr. 49, 47805 Krefeld, Germany

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Source URL: lionel.kr.hs-niederrhein.de

Language: English - Date: 2016-04-01 07:04:15
777Design of experiments / Scientific method / Hypothesis testing / Philosophy of science / Statistical inference / Hypothesis / Statistical hypothesis testing / Experiment / Research / Abstract / Problem statement / Science

Project Abstract Name_________________ Date__________ 1. Each science fair project must have a written abstract using this format 2. Abstracts must be typed and should be held to ≈ 250 words on one page

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Source URL: www.sussexcountysciencefair.org

Language: English - Date: 2013-09-10 21:38:35
778Statistical theory / Information theory / Philosophy of thermal and statistical physics / Principle of maximum entropy / Entropy

Many faces of information: irreversibility, ignorance, inference Rajaram Nityananda Azim Premji University Bengaluruhttp://www.ncra.tifr.res.in:8081/~rajaram

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Source URL: www.currentscience.ac.in

Language: English - Date: 2015-11-29 23:26:32
779Operations research / Mathematical optimization / Convex optimization / Multivariable calculus / Linear programming / Lagrange multiplier / Finite element method / Algorithm / Interior point method

Scaling MPE Inference for Constrained Continuous Markov Random Fields with Consensus Optimization Stephen H. Bach University of Maryland, College Park College Park, MD 20742

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Source URL: psl.umiacs.umd.edu

Language: English - Date: 2013-06-14 19:26:47
780

LADDER OF INFERENCE LADDER OF INFERENCE This tool helps us to understand how we develop our own beliefs and actions and, possibly, to question and reconsider those beliefs and actions.

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Source URL: www.hopelab.org

- Date: 2016-03-07 11:55:42
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