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Combining classifiers by constructive induction

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/3-540-56602-3_134openalex-snapshot
Induction of recursive Bayesian classifiers
inferredcites →https://doi.org/10.1007/bf00058611openalex-snapshot
Error reduction through learning multiple descriptions
inferredcites →https://doi.org/10.1007/bf00058655openalex-snapshot
Bagging predictors
inferredcites →https://doi.org/10.1007/bf00993475openalex-snapshot
Recursive Automatic Bias Selection for Classifier Construction
inferredcites →https://doi.org/10.1007/bfb0052840openalex-snapshot
Oblique linear tree
inferredcites →https://doi.org/10.1016/b978-1-55860-036-2.50033-3openalex-snapshot
LEARNING CLASSIFICATION RULES USING BAYES
inferredcites →https://doi.org/10.1016/b978-1-55860-377-6.50020-7openalex-snapshot
A Comparative Evaluation of Voting and Meta-learning on Partitioned Data
inferredcites →https://doi.org/10.1016/s0893-6080(05)80023-1openalex-snapshot
Stacked generalization
inferredcites →https://doi.org/10.1023/a:1018054314350openalex-snapshot
Bagging Predictors
inferredcites →https://doi.org/10.1023/a:1018249309965openalex-snapshot
Error Reduction through Learning Multiple Descriptions
inferredcites →https://doi.org/10.13021/mars/3370openalex-snapshot
The MONK's problems: A Performance Comparison of Different Learning Algorithms

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/3-540-45065-3_14openalex-snapshot
Simple Mimetic Classifiers
inferred← citeshttps://doi.org/10.1007/3-540-45372-5_6openalex-snapshot
Combining Multiple Models with Meta Decision Trees
inferred← citeshttps://doi.org/10.1007/978-1-0716-0389-5_22openalex-snapshot
Application of Meta Learning to B-Cell Conformational Epitope Prediction
inferred← citeshttps://doi.org/10.1007/978-3-540-39985-8_61openalex-snapshot
Email Classification with Temporal Features
inferred← citeshttps://doi.org/10.1007/978-3-642-15381-5_15openalex-snapshot
A Comparison of Three Voting Methods for Bagging with the MLEM2 Algorithm
inferred← citeshttps://doi.org/10.1016/j.inffus.2006.10.009openalex-snapshot
A new boosting algorithm for improved time-series forecasting with recurrent neural networks
inferred← citeshttps://doi.org/10.1016/j.neucom.2012.08.065openalex-snapshot
An iterative combination scheme for multimodal visual feature detection
inferred← citeshttps://doi.org/10.1023/a:1007652114878openalex-snapshot
Cascade Generalization
inferred← citeshttps://doi.org/10.1023/b:inrt.0000048491.59134.94openalex-snapshot
The Combination of Text Classifiers Using Reliability Indicators
inferred← citeshttps://doi.org/10.1109/aiccsa.2005.1387028openalex-snapshot
Toward dynamic ensembles: the BAGA apprach
inferred← citeshttps://doi.org/10.1109/ichi.2017.95openalex-snapshot
Exploring the Performance of Stacking Classifier to Predict Depression Among the Elderly
inferred← citeshttps://doi.org/10.1109/icip.2012.6466806openalex-snapshot
An Iterative Combination Scheme for multimodal visual feature detection
inferred← citeshttps://doi.org/10.1109/ictai.2011.110openalex-snapshot
Transformation Learning in the Context of Model-Driven Data Warehouse: An Experimental Design Based on Inductive Logic Programming
inferred← citeshttps://doi.org/10.1109/tai.1999.809797openalex-snapshot
An unsupervised collaborative learning method to refine classification hierarchies
inferred← citeshttps://doi.org/10.1142/s0218213000000069openalex-snapshot
A COLLABORATIVE APPROACH TO COMBINE MULTIPLE LEARNING METHODS
inferred← citeshttps://doi.org/10.1145/1133890.1133892openalex-snapshot
Collaborative multi-strategy classification
inferred← citeshttps://doi.org/10.1186/s12859-014-0378-yopenalex-snapshot
A meta-learning approach for B-cell conformational epitope prediction
inferred← citeshttps://doi.org/10.3233/fun-2007-761-211openalex-snapshot
Rough set Based Ensemble Classifier forWeb Page Classification
inferred← citeshttps://doi.org/10.4018/978-1-4666-4494-6.ch011openalex-snapshot
Model-Driven Data Warehouse Automation
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