Combined classifier based on feature space partitioning
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[1] C. K. Chow,et al. Statistical Independence and Threshold Functions , 1965, IEEE Trans. Electron. Comput..
[2] D. Wolpert. The Supervised Learning No-Free-Lunch Theorems , 2002 .
[3] David E. Goldberg,et al. Genetic Algorithms in Search Optimization and Machine Learning , 1988 .
[4] Ludmila I. Kuncheva,et al. Combining Pattern Classifiers: Methods and Algorithms , 2004 .
[5] Adam Krzyżak,et al. Methods of combining multiple classifiers and their applications to handwriting recognition , 1992, IEEE Trans. Syst. Man Cybern..
[6] Michal Wozniak. Experiments on Linear Combiners , 2008, Information Technologies in Biomedicine.
[7] Ofer MatanDepartment. On Voting Ensembles of Classiiers (extended Abstract) , 1996 .
[8] Michal Wozniak,et al. Some Remarks on Chosen Methods of Classifier Fusion Based on Weighted Voting , 2009, HAIS.
[9] Robert P. W. Duin,et al. The combining classifier: to train or not to train? , 2002, Object recognition supported by user interaction for service robots.
[10] Michal Wozniak,et al. Optimization of overlay distributed computing systems for multiple classifier system - heuristic approach , 2012, Log. J. IGPL.
[11] Mario Vento,et al. A Cascaded Multiple Expert System for Verification , 2000, Multiple Classifier Systems.
[12] Tin Kam Ho,et al. The Random Subspace Method for Constructing Decision Forests , 1998, IEEE Trans. Pattern Anal. Mach. Intell..
[13] Geoffrey I. Webb,et al. Feature-subspace aggregating: ensembles for stable and unstable learners , 2011, Machine Learning.
[14] Robert Tibshirani,et al. An Introduction to the Bootstrap , 1994 .
[15] Ludmila I. Kuncheva,et al. Clustering-and-selection model for classifier combination , 2000, KES'2000. Fourth International Conference on Knowledge-Based Intelligent Engineering Systems and Allied Technologies. Proceedings (Cat. No.00TH8516).
[16] Andrzhei︠a︡ Mostowski,et al. Set theory : with an introduction to descriptive set theory , 1976 .
[17] Geoffrey E. Hinton,et al. Adaptive Mixtures of Local Experts , 1991, Neural Computation.
[18] Fabio Roli,et al. Design of effective multiple classifier systems by clustering of classifiers , 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.
[19] Bartosz Krawczyk,et al. Designing Cost-Sensitive Ensemble - Genetic Approach , 2011, IP&C.
[20] Fabio Roli,et al. Bayesian Analysis of Linear Combiners , 2007, MCS.
[21] Bogdan Gabrys,et al. Classifier selection for majority voting , 2005, Inf. Fusion.
[22] Robert P. W. Duin,et al. Limits on the majority vote accuracy in classifier fusion , 2003, Pattern Analysis & Applications.
[23] R Core Team,et al. R: A language and environment for statistical computing. , 2014 .
[24] Derek Partridge,et al. Software Diversity: Practical Statistics for Its Measurement and Exploitation | Draft Currently under Revision , 1996 .
[25] Robert A. Jacobs,et al. Methods For Combining Experts' Probability Assessments , 1995, Neural Computation.
[26] Anil K. Jain,et al. Data clustering: a review , 1999, CSUR.
[27] Daniel A. Ashlock,et al. Evolutionary computation for modeling and optimization , 2005 .
[28] James C. Bezdek,et al. Decision templates for multiple classifier fusion: an experimental comparison , 2001, Pattern Recognit..
[29] R. Polikar,et al. Ensemble based systems in decision making , 2006, IEEE Circuits and Systems Magazine.
[30] K. Goebel. Choosing Classifiers for Decision Fusion , 2004 .
[31] Grzegorz Chmaj,et al. Heuristic algorithms for optimization of task allocation and result distribution in peer-to-peer computing systems , 2012, Int. J. Appl. Math. Comput. Sci..
[32] Emilio Corchado,et al. Hybrid Classification Ensemble Using Topology-preserving Clustering , 2011, New Generation Computing.
[33] Ethem Alpaydın,et al. Combined 5 x 2 cv F Test for Comparing Supervised Classification Learning Algorithms , 1999, Neural Comput..
[34] Anil K. Jain,et al. Statistical Pattern Recognition: A Review , 2000, IEEE Trans. Pattern Anal. Mach. Intell..
[35] Kevin W. Bowyer,et al. Combination of Multiple Classifiers Using Local Accuracy Estimates , 1997, IEEE Trans. Pattern Anal. Mach. Intell..
[36] Subhash C. Bagui,et al. Combining Pattern Classifiers: Methods and Algorithms , 2005, Technometrics.
[37] Michal Wozniak,et al. Algorithm of designing compound recognition system on the basis of combining classifiers with simultaneous splitting feature space into competence areas , 2009, Pattern Analysis and Applications.
[38] J. MacQueen. Some methods for classification and analysis of multivariate observations , 1967 .
[39] Michal Wozniak,et al. Complexity and Multithreaded Implementation Analysis of One Class-Classifiers Fuzzy Combiner , 2011, HAIS.
[40] Bogdan Trawinski,et al. Selection of Heterogeneous Fuzzy Model Ensembles Using Self-adaptive Genetic Algorithms , 2011, New Generation Computing.
[41] Thomas G. Dietterich,et al. Solving Multiclass Learning Problems via Error-Correcting Output Codes , 1994, J. Artif. Intell. Res..
[42] Ethem Alpaydin,et al. Introduction to machine learning , 2004, Adaptive computation and machine learning.
[43] Yoram Baram,et al. Partial Classification: The Benefit of Deferred Decision , 1998, IEEE Trans. Pattern Anal. Mach. Intell..
[44] Lars Kai Hansen,et al. Neural Network Ensembles , 1990, IEEE Trans. Pattern Anal. Mach. Intell..
[45] Shigeo Abe DrEng. Pattern Classification , 2001, Springer London.
[46] Louis Vuurpijl,et al. An overview and comparison of voting methods for pattern recognition , 2002, Proceedings Eighth International Workshop on Frontiers in Handwriting Recognition.
[47] David G. Stork,et al. Pattern Classification , 1973 .
[48] Gian Luca Marcialis,et al. Fusion of Face Recognition Algorithms for Video-Based Surveillance Systems , 2003 .
[49] Olgierd Unold,et al. Self-adaptation of parameters in a learning classifier system ensemble machine , 2010, Int. J. Appl. Math. Comput. Sci..
[50] Krzysztof Walkowiak,et al. Anycasting in connection-oriented computer networks: Models, algorithms and results , 2010, Int. J. Appl. Math. Comput. Sci..
[51] Michał Woźniak,et al. Combining classifiers using trained fuser - analytical and experimental results / , 2010 .
[52] Lalit M. Patnaik,et al. Genetic algorithms: a survey , 1994, Computer.
[53] Gavin Brown,et al. "Good" and "Bad" Diversity in Majority Vote Ensembles , 2010, MCS.
[54] Kagan Tumer,et al. Analysis of decision boundaries in linearly combined neural classifiers , 1996, Pattern Recognit..