Decision tree learning

Results: 321



#Item
1Practical Secure Decision Tree Learning in a Teletreatment Application Sebastiaan de Hoogh1 , Berry Schoenmakers2 , Ping Chen3 , and Harm op den Akker4 1

Practical Secure Decision Tree Learning in a Teletreatment Application Sebastiaan de Hoogh1 , Berry Schoenmakers2 , Ping Chen3 , and Harm op den Akker4 1

Add to Reading List

Source URL: fc14.ifca.ai

Language: English - Date: 2014-02-15 11:15:15
    2Meta–Gradient Boosted Decision Tree Model for Weight and Target Learning  Yury Ustinovskiy Valentina Fedorova Gleb Gusev Pavel Serdyukov

    Meta–Gradient Boosted Decision Tree Model for Weight and Target Learning Yury Ustinovskiy Valentina Fedorova Gleb Gusev Pavel Serdyukov

    Add to Reading List

    Source URL: jmlr.org

    - Date: 2016-10-08 19:36:41
      3Decision Tree Learning  1 Decision Trees •  Tree-based classifiers for instances represented as feature-vectors.

      Decision Tree Learning 1 Decision Trees •  Tree-based classifiers for instances represented as feature-vectors.

      Add to Reading List

      Source URL: twiki.di.uniroma1.it

      - Date: 2016-03-02 06:51:40
        4Learning from uncertain data: a decision tree approach Cecília Nunes Anders Jonsson  PhySense Group

        Learning from uncertain data: a decision tree approach Cecília Nunes Anders Jonsson PhySense Group

        Add to Reading List

        Source URL: womencourage.acm.org

        - Date: 2016-08-09 09:13:58
          5Chapter 5 Local Regress ion Trees In this chapter we explore the hypothesis of improving the accuracy of regression trees by using smoother models at the tree leaves. Our proposal consists of using local regression model

          Chapter 5 Local Regress ion Trees In this chapter we explore the hypothesis of improving the accuracy of regression trees by using smoother models at the tree leaves. Our proposal consists of using local regression model

          Add to Reading List

          Source URL: www.dcc.fc.up.pt

          Language: English - Date: 2012-12-13 10:18:43
          6Chapter 2 I nducti ve Learni ng This chapter presents an overview of the research in inductive learning. We briefly describe the various aspects of this scientific field and present some examples of applications. We the

          Chapter 2 I nducti ve Learni ng This chapter presents an overview of the research in inductive learning. We briefly describe the various aspects of this scientific field and present some examples of applications. We the

          Add to Reading List

          Source URL: www.dcc.fc.up.pt

          Language: English - Date: 2012-12-13 10:18:43
          7Luís Fernando Raínho Alves Torgo  INDUCTIVE LEARNING OF TREE-BASED REGRESSION MODELS

          Luís Fernando Raínho Alves Torgo INDUCTIVE LEARNING OF TREE-BASED REGRESSION MODELS

          Add to Reading List

          Source URL: www.dcc.fc.up.pt

          Language: English - Date: 2012-12-13 10:18:43
          8Journal of Machine Learning Research872  Submitted 2/09; Revised 12/09; Published 2/10 A Streaming Parallel Decision Tree Algorithm Yael Ben-Haim

          Journal of Machine Learning Research872 Submitted 2/09; Revised 12/09; Published 2/10 A Streaming Parallel Decision Tree Algorithm Yael Ben-Haim

          Add to Reading List

          Source URL: jmlr.csail.mit.edu

          Language: English - Date: 2010-02-23 15:21:29
          9MAPPING MULTIVARIATE SPATIAL RELATIONSHIPS FROM REGRESSION TREES BY PARTITIONS OF COLOR VISUAL VARIABLES Denis White and Jean C Siftieos Department of Geosciences Oregon State University Corvallis, OR, 97331 USA

          MAPPING MULTIVARIATE SPATIAL RELATIONSHIPS FROM REGRESSION TREES BY PARTITIONS OF COLOR VISUAL VARIABLES Denis White and Jean C Siftieos Department of Geosciences Oregon State University Corvallis, OR, 97331 USA

          Add to Reading List

          Source URL: mapcontext.com

          Language: English - Date: 2008-08-29 22:37:04