Random forest

Results: 386



#Item
11Machine 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

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
12Meta-analysis / Systematic review / Funnel plot / Forest plot / Publication bias / Plot / Effect size / Random effects model / Homogeneity / G factor / Study heterogeneity

Meta-analysis of the value of prophylactic drainage Mine Cetinkaya, ¸ Colin Rundel May 19, 2009

Add to Reading List

Source URL: scc.stat.ucla.edu

Language: English - Date: 2010-12-01 00:59:05
13Computational chemistry / Medicinal chemistry / Computational neuroscience / Drug discovery / Deep learning / Artificial neural network / Random forest / Docking / TensorFlow / Scoring rule

The development of a new docking score, taking account of the fourth dimension Rob Smith, Ben Tehan, Andrea Bortolato, Simon Cross Heptares Therapeutics Ltd., BioPark, Broadwater Road, Welwyn Garden City, Hertfordshire,

Add to Reading List

Source URL: cisrg.shef.ac.uk

Language: English - Date: 2016-07-22 08:25:51
14Ensemble learning / Time series models / Statistical forecasting / Time series analysis / Econometrics / Forecasting / Random subspace method / Autoregressive integrated moving average / Random forest / Time series / Autoregressive model / Regression analysis

JMLR: Workshop and Conference Proceedings 39:360–370, 2014 ACML 2014 Ensembles for Time Series Forecasting Mariana Oliveira

Add to Reading List

Source URL: jmlr.org

Language: English - Date: 2015-02-16 03:19:49
15Regression analysis / Decision trees / Statistical methods / Econometrics / Ensemble learning / Nonparametric regression / Random forest / Decision tree learning / Prediction / Structural equation modeling / Data analysis / Decision tree

Running head: FINDING STRUCTURE IN DATA 1 Draft: Finding structure in data using multivariate tree boosting. Patrick J. Miller, Gitta H. Lubke, Daniel B. McArtor, C. S. Bergeman

Add to Reading List

Source URL: arxiv.org

Language: English - Date: 2016-01-21 20:09:36
16

Random Forest for the Contextual Bandit Problem Rapha¨el F´eraud Orange Labs, France

Add to Reading List

Source URL: jmlr.org

Language: English - Date: 2016-06-06 23:29:33
    17

    Random Forest for the Contextual Bandit Problem 7 Appendix

    Add to Reading List

    Source URL: jmlr.org

    Language: English - Date: 2016-06-06 23:29:33
      18

      Machine Learning Techniques (機器學習技法) Lecture 10: Random Forest Hsuan-Tien Lin (林軒田)

      Add to Reading List

      Source URL: www.csie.ntu.edu.tw

      Language: English - Date: 2015-05-12 01:37:15
        19

        Machine Learning Techniques (機器學習技法) Lecture 10: Random Forest Hsuan-Tien Lin (林軒田)

        Add to Reading List

        Source URL: www.csie.ntu.edu.tw

        Language: English - Date: 2015-05-12 01:37:15
          20Machine learning / Ensemble learning / Decision trees / Artificial intelligence / Astronomy / Computational statistics / Discovery Program / Kepler / Random forest / Bootstrap aggregating / Planet / Trichloroethylene

          Autovetter Planet Candidate Catalog for Q1-Q17 Data Release 24 KSCIJoseph H. Catanzarite 20 July 2015

          Add to Reading List

          Source URL: exoplanetarchive.ipac.caltech.edu

          Language: English - Date: 2016-02-16 18:44:51
          UPDATE