Ensembles in Machine Learning Applications - Studies in Computational Intelligence
Latest Publications

TOTAL DOCUMENTS

(FIVE YEARS 0)

H-INDEX

(FIVE YEARS 0)

Published By Springer Berlin Heidelberg

9783642229091, 9783642229107

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Bias-Variance Analysis of ECOC and Bagging Using Neural Nets

Ensembles in Machine Learning Applications - Studies in Computational Intelligence ◽

10.1007/978-3-642-22910-7_4 ◽

2011 ◽

pp. 59-73 ◽

Cited By ~ 2

Author(s):

Cemre Zor ◽

Terry Windeatt ◽

Berrin Yanikoglu

Keyword(s):

Variance Analysis ◽

Neural Nets ◽

Bias Variance

Download Full-text

Random Oracles for Regression Ensembles

Ensembles in Machine Learning Applications - Studies in Computational Intelligence ◽

10.1007/978-3-642-22910-7_11 ◽

2011 ◽

pp. 181-199 ◽

Cited By ~ 4

Author(s):

Carlos Pardo ◽

Juan J. Rodríguez ◽

José F. Díez-Pastor ◽

César García-Osorio

Keyword(s):

Random Oracles

Download Full-text

An Improved Mixture of Experts Model: Divide and Conquer Using Random Prototypes

Ensembles in Machine Learning Applications - Studies in Computational Intelligence ◽

10.1007/978-3-642-22910-7_13 ◽

2011 ◽

pp. 217-231 ◽

Cited By ~ 1

Author(s):

Giuliano Armano ◽

Nima Hatami

Keyword(s):

Divide And Conquer ◽

Mixture Of Experts

Download Full-text

Embedding Random Projections in Regularized Gradient Boosting Machines

Ensembles in Machine Learning Applications - Studies in Computational Intelligence ◽

10.1007/978-3-642-22910-7_12 ◽

2011 ◽

pp. 201-216 ◽

Cited By ~ 2

Author(s):

Pierluigi Casale ◽

Oriol Pujol ◽

Petia Radeva

Keyword(s):

Random Projections ◽

Gradient Boosting

Download Full-text

Hybrid Correlation and Causal Feature Selection for Ensemble Classifiers

Ensembles in Machine Learning Applications - Studies in Computational Intelligence ◽

10.1007/978-3-642-22910-7_6 ◽

2011 ◽

pp. 97-115 ◽

Cited By ~ 1

Author(s):

Rakkrit Duangsoithong ◽

Terry Windeatt

Keyword(s):

Feature Selection ◽

Ensemble Classifiers ◽

Selection For

Download Full-text

A Novel Ensemble Technique for Protein Subcellular Location Prediction

Ensembles in Machine Learning Applications - Studies in Computational Intelligence ◽

10.1007/978-3-642-22910-7_9 ◽

2011 ◽

pp. 151-167 ◽

Cited By ~ 1

Author(s):

Alessandro Rozza ◽

Gabriele Lombardi ◽

Matteo Re ◽

Elena Casiraghi ◽

Giorgio Valentini ◽

...

Keyword(s):

Subcellular Location ◽

Location Prediction ◽

Ensemble Technique ◽

Protein Subcellular Location ◽

Subcellular Location Prediction ◽

Protein Subcellular Location Prediction

Download Full-text

Learning Markov Blankets for Continuous or Discrete Networks via Feature Selection

Ensembles in Machine Learning Applications - Studies in Computational Intelligence ◽

10.1007/978-3-642-22910-7_7 ◽

2011 ◽

pp. 117-131

Author(s):

Houtao Deng ◽

Saylisse Davila ◽

George Runger ◽

Eugene Tuv

Keyword(s):

Feature Selection ◽

Markov Blankets ◽

Discrete Networks

Download Full-text

Three Data Partitioning Strategies for Building Local Classifiers

Ensembles in Machine Learning Applications - Studies in Computational Intelligence ◽

10.1007/978-3-642-22910-7_14 ◽

2011 ◽

pp. 233-250

Author(s):

Indrė Žliobaitė

Keyword(s):

Data Partitioning

Download Full-text

Trading-Off Diversity and Accuracy for Optimal Ensemble Tree Selection in Random Forests

Ensembles in Machine Learning Applications - Studies in Computational Intelligence ◽

10.1007/978-3-642-22910-7_10 ◽

2011 ◽

pp. 169-179 ◽

Cited By ~ 4

Author(s):

Haytham Elghazel ◽

Alex Aussem ◽

Florence Perraud

Keyword(s):

Random Forests ◽

Optimal Ensemble

Download Full-text

Fast-Ensembles of Minimum Redundancy Feature Selection

Ensembles in Machine Learning Applications - Studies in Computational Intelligence ◽

10.1007/978-3-642-22910-7_5 ◽

2011 ◽

pp. 75-95 ◽

Cited By ~ 9

Author(s):

Benjamin Schowe ◽

Katharina Morik

Keyword(s):

Feature Selection

Download Full-text

Ensembles in Machine Learning Applications - Studies in Computational IntelligenceLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer Berlin Heidelberg

Bias-Variance Analysis of ECOC and Bagging Using Neural Nets

Random Oracles for Regression Ensembles

An Improved Mixture of Experts Model: Divide and Conquer Using Random Prototypes

Embedding Random Projections in Regularized Gradient Boosting Machines

Hybrid Correlation and Causal Feature Selection for Ensemble Classifiers

A Novel Ensemble Technique for Protein Subcellular Location Prediction

Learning Markov Blankets for Continuous or Discrete Networks via Feature Selection

Three Data Partitioning Strategies for Building Local Classifiers

Trading-Off Diversity and Accuracy for Optimal Ensemble Tree Selection in Random Forests

Fast-Ensembles of Minimum Redundancy Feature Selection

Ensembles in Machine Learning Applications - Studies in Computational Intelligence
Latest Publications