Optimal selection of ensemble classifiers using measures of competence and diversity of base classifiers
In this paper, a new probabilistic model using measures of classifier competence and diversity is proposed. The multiple classifier system (MCS) based on the dynamic ensemble selection scheme was constructed using both developed measures. Two different optimization problems of ensemble selection are...
| Main Authors: | Lysiak, R., Kurzynski, M., Woloszynski, Tomasz |
|---|---|
| Format: | Journal Article |
| Published: |
Elsevier BV
2014
|
| Online Access: | http://hdl.handle.net/20.500.11937/16870 |
Similar Items
Probabilistic approach to the dynamic ensemble selection using measures of competence and diversity of base classifiers
by: Lysiak, R., et al.
Published: (2011)
by: Lysiak, R., et al.
Published: (2011)
On two measures of classifier competence for dynamic ensemble selection - Experimental comparative analysis
by: Kurzynski, M., et al.
Published: (2010)
by: Kurzynski, M., et al.
Published: (2010)
A measure of competence based on randomized reference classifier for dynamic ensemble selection
by: Woloszynski, Tomasz, et al.
Published: (2010)
by: Woloszynski, Tomasz, et al.
Published: (2010)
A probabilistic model of classifier competence for dynamic ensemble selection
by: Woloszynski, Tomasz, et al.
Published: (2011)
by: Woloszynski, Tomasz, et al.
Published: (2011)
On a new measure of classifier competence applied to the design of multiclassifier systems
by: Woloszynski, Tomasz, et al.
Published: (2009)
by: Woloszynski, Tomasz, et al.
Published: (2009)
Combining classifiers in a tree structure
by: Woloszynski, Tomasz, et al.
Published: (2008)
by: Woloszynski, Tomasz, et al.
Published: (2008)
A measure of competence based on random classification for dynamic ensemble selection
by: Woloszynski, Tomasz, et al.
Published: (2012)
by: Woloszynski, Tomasz, et al.
Published: (2012)
Ensembles of diverse classifiers using synthetic training data
by: Akhand, M.A.H, et al.
Published: (2012)
by: Akhand, M.A.H, et al.
Published: (2012)
A dissimilarity-based multiple classifier system for trabecular bone texture in detection and prediction of progression of knee osteoarthritis
by: Woloszynski, Tomasz, et al.
Published: (2012)
by: Woloszynski, Tomasz, et al.
Published: (2012)
A multiclassifier system with dynamic ensemble selection applied to the recognition of EMG signals for the control of bio-prosthetic hand
by: Kurzynski, M., et al.
Published: (2010)
by: Kurzynski, M., et al.
Published: (2010)
Solving classification problem using ensemble binarization classifier
by: Zainudin, Muhammad Noorazlan Shah, et al.
Published: (2018)
by: Zainudin, Muhammad Noorazlan Shah, et al.
Published: (2018)
Excess water production diagnosis in oil fields using ensemble classifiers
by: Rabiei, Minou
Published: (2011)
by: Rabiei, Minou
Published: (2011)
Multiclassifiers with competence function applied to the recognition of EMG signals for the control of bio-prosthetic hand
by: Kurzynski, M., et al.
Published: (2009)
by: Kurzynski, M., et al.
Published: (2009)
A comparative study of the ensemble and base classifiers performance in Malay text categorization
by: Alshalabi, Hamood Ali, et al.
Published: (2017)
by: Alshalabi, Hamood Ali, et al.
Published: (2017)
Random subspace K-NN based ensemble classifier for driver fatigue detection utilizing selected EEG channels
by: Rashid, Mamunur, et al.
Published: (2021)
by: Rashid, Mamunur, et al.
Published: (2021)
Multi-agent classifier system based on heterogeneous classifier
by: Nur Afiqah, Mohd Dali
Published: (2018)
by: Nur Afiqah, Mohd Dali
Published: (2018)
Ensemble-based machine learning algorithms for classifying breast tissue based on electrical impedance spectroscopy
by: Rahman, Sam Matiur, et al.
Published: (2020)
by: Rahman, Sam Matiur, et al.
Published: (2020)
Comparison of expectation maximization and K-means clustering algorithms with ensemble classifier model
by: Sulaiman, Md. Nasir, et al.
Published: (2018)
by: Sulaiman, Md. Nasir, et al.
Published: (2018)
Ensemble Classifier for Recognition of Small Variation in
X-Bar Control Chart Patterns
by: Alwan, Waseem, et al.
Published: (2023)
by: Alwan, Waseem, et al.
Published: (2023)
Ensemble Classifier for Recognition of Small Variation in X-Bar Control Chart Patterns
by: Alwan, Waseem, et al.
Published: (2023)
by: Alwan, Waseem, et al.
Published: (2023)
Ensemble Classifier for Recognition of Small Variation in
X-Bar Control Chart Patterns
by: Alwan, Waseem, et al.
Published: (2023)
by: Alwan, Waseem, et al.
Published: (2023)
Ensemble Classifier for Recognition of Small Variation in X-Bar Control Chart Patterns
by: Alwan, Waseem, et al.
Published: (2023)
by: Alwan, Waseem, et al.
Published: (2023)
Ensemble Classifier for Recognition of Small Variation in X-Bar Control Chart Patterns
by: Waseem Alwan, Waseem Alwan, et al.
Published: (2023)
by: Waseem Alwan, Waseem Alwan, et al.
Published: (2023)
Ensemble Classifier for Recognition of Small Variation in X-Bar Control Chart Patterns
by: Alwan, Waseem, et al.
Published: (2023)
by: Alwan, Waseem, et al.
Published: (2023)
Physiological signals as predictors of mental workload: Evaluating single classifier and ensemble learning models
by: Nailul, Izzah, et al.
Published: (2023)
by: Nailul, Izzah, et al.
Published: (2023)
Majority voting of ensemble classifiers to improve shoreline extraction of medium resolution satellite images
by: Abd Manaf, Syaifulnizam, et al.
Published: (2017)
by: Abd Manaf, Syaifulnizam, et al.
Published: (2017)
A Hybrid Evaluation Metric for Optimizing Classifier
by: Hossin, M., et al.
Published: (2011)
by: Hossin, M., et al.
Published: (2011)
Gene Selection For Cancer Classification Based On Xgboost Classifier
by: Teo, Voon Chuan
Published: (2022)
by: Teo, Voon Chuan
Published: (2022)
A signature dissimilarity measure for trabecular bone texture in knee radiographs
by: Woloszynski, Tomasz, et al.
Published: (2010)
by: Woloszynski, Tomasz, et al.
Published: (2010)
Comparison of the naive Bayes classifier and instance based learner in classifying upper gastrointestinal bleeding
by: Nazziwa Aisha,, et al.
Published: (2013)
by: Nazziwa Aisha,, et al.
Published: (2013)
Classification of Mental Health Level of Students Using SMOTE and Soft Voting Ensemble Classifier and the DASS-21 Profile
by: Muhammad Imron, Rosadi, et al.
by: Muhammad Imron, Rosadi, et al.
A hybrid evaluation metric for optimizing classifier
by: Hossin, Mohammad, et al.
Published: (2011)
by: Hossin, Mohammad, et al.
Published: (2011)
Statistical Based Real-Time Selective Herbicide Weed Classifier
by: Ahmed, Irshad, et al.
Published: (2007)
by: Ahmed, Irshad, et al.
Published: (2007)
A Novel Performance Metric for Building an Optimized Classifier
by: Hossin, M., et al.
Published: (2011)
by: Hossin, M., et al.
Published: (2011)
An enhancement of binary particle swarm optimization for gene selection in classifying cancer classes
by: Mohd Saberi, Mohamad, et al.
Published: (2013)
by: Mohd Saberi, Mohamad, et al.
Published: (2013)
Grid-Based Classifier as a Replacement for Multiclass Classifier in a Supervised Non-Parametric Approach
by: Moheb Pour, Majid Reza
Published: (2009)
by: Moheb Pour, Majid Reza
Published: (2009)
Comparison of feature selection techniques in classifying stroke documents
by: Nur Syaza Izzati, Mohd Rafei, et al.
Published: (2019)
by: Nur Syaza Izzati, Mohd Rafei, et al.
Published: (2019)
Computational methods for classifying glaucomatous visual field measurements
by: Meng, Shuanghui
Published: (2007)
by: Meng, Shuanghui
Published: (2007)
An efficient and effective immune based classifier
by: Golzari, Shahram, et al.
Published: (2011)
by: Golzari, Shahram, et al.
Published: (2011)
Classifying theories of welfare
by: Woodard, Christopher
Published: (2013)
by: Woodard, Christopher
Published: (2013)
Similar Items
-
Probabilistic approach to the dynamic ensemble selection using measures of competence and diversity of base classifiers
by: Lysiak, R., et al.
Published: (2011) -
On two measures of classifier competence for dynamic ensemble selection - Experimental comparative analysis
by: Kurzynski, M., et al.
Published: (2010) -
A measure of competence based on randomized reference classifier for dynamic ensemble selection
by: Woloszynski, Tomasz, et al.
Published: (2010) -
A probabilistic model of classifier competence for dynamic ensemble selection
by: Woloszynski, Tomasz, et al.
Published: (2011) -
On a new measure of classifier competence applied to the design of multiclassifier systems
by: Woloszynski, Tomasz, et al.
Published: (2009)