Instance-Based Learning Algorithms
Machine Learning
Original Contribution: Stacked generalization
Neural Networks
C4.5: programs for machine learning
C4.5: programs for machine learning
A schema for using multiple knowledge
Proceedings of the workshop on Computational learning theory and natural learning systems (vol. 2) : intersections between theory and experiment: intersections between theory and experiment
Data mining: practical machine learning tools and techniques with Java implementations
Data mining: practical machine learning tools and techniques with Java implementations
Using Model Trees for Classification
Machine Learning
Using Correspondence Analysis to Combine Classifiers
Machine Learning
A perspective view and survey of meta-learning
Artificial Intelligence Review
Combining Classifiers with Meta Decision Trees
Machine Learning
ECML '95 Proceedings of the 8th European Conference on Machine Learning
Stacking with an Extended Set of Meta-level Attributes and MLR
ECML '02 Proceedings of the 13th European Conference on Machine Learning
Is Combining Classifiers Better than Selecting the Best One
ICML '02 Proceedings of the Nineteenth International Conference on Machine Learning
How to Make Stacking Better and Faster While Also Taking Care of an Unknown Weakness
ICML '02 Proceedings of the Nineteenth International Conference on Machine Learning
ICDM '01 Proceedings of the 2001 IEEE International Conference on Data Mining
Stacking with Multi-response Model Trees
MCS '02 Proceedings of the Third International Workshop on Multiple Classifier Systems
Issues in stacked generalization
Journal of Artificial Intelligence Research
Estimating continuous distributions in Bayesian classifiers
UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
Introduction to the Special Issue on Meta-Learning
Machine Learning
Minority report in fraud detection: classification of skewed data
ACM SIGKDD Explorations Newsletter - Special issue on learning from imbalanced datasets
Learning to predict train wheel failures
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
Combination of support vector machines using genetic programming
International Journal of Hybrid Intelligent Systems
Combining Information Extraction Systems Using Voting and Stacked Generalization
The Journal of Machine Learning Research
A cooperative constructive method for neural networks for pattern recognition
Pattern Recognition
Immune network based ensembles
Neurocomputing
Rough set Based Ensemble Classifier forWeb Page Classification
Fundamenta Informaticae
Non-strict heterogeneous Stacking
Pattern Recognition Letters
Pruning extensions to stacking
Intelligent Data Analysis
Selective fusion of heterogeneous classifiers
Intelligent Data Analysis
Information Sciences: an International Journal
Nonlinear Boosting Projections for Ensemble Construction
The Journal of Machine Learning Research
Distributed classification in peer-to-peer networks
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
Random Forests for multiclass classification: Random MultiNomial Logit
Expert Systems with Applications: An International Journal
The combination of multiple classifiers using an evidential reasoning approach
Artificial Intelligence
Neural Network Ensembles for Classification Problems Using Multiobjective Genetic Algorithms
ICANN '08 Proceedings of the 18th international conference on Artificial Neural Networks, Part I
Cascade RSVM in Peer-to-Peer Networks
ECML PKDD '08 Proceedings of the 2008 European Conference on Machine Learning and Knowledge Discovery in Databases - Part I
Combining Classifiers through Triplet-Based Belief Functions
ECML PKDD '08 Proceedings of the 2008 European Conference on Machine Learning and Knowledge Discovery in Databases - Part I
Boosting random subspace method
Neural Networks
Improving malware detection by applying multi-inducer ensemble
Computational Statistics & Data Analysis
A genetic encoding approach for learning methods for combining classifiers
Expert Systems with Applications: An International Journal
Large scale multi-label classification via metalabeler
Proceedings of the 18th international conference on World wide web
Supervised projection approach for boosting classifiers
Pattern Recognition
Information Security Tech. Report
Intelligent file scoring system for malware detection from the gray list
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Algorithm of Neural Network Ensembles and Robust Learning
ISNN '09 Proceedings of the 6th International Symposium on Neural Networks on Advances in Neural Networks
Unsupervised Hierarchical Weighted Multi-segmenter
MCS '09 Proceedings of the 8th International Workshop on Multiple Classifier Systems
On combining multiple classifiers using an evidential approach
AAAI'06 Proceedings of the 21st national conference on Artificial intelligence - Volume 1
Computational Statistics & Data Analysis
A comparison of fraud cues and classification methods for fake escrow website detection
Information Technology and Management
Activity recognition from accelerometer data
IAAI'05 Proceedings of the 17th conference on Innovative applications of artificial intelligence - Volume 3
A fusion of stacking with dynamic integration
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Troika - An improved stacking schema for classification tasks
Information Sciences: an International Journal
Stacking recommendation engines with additional meta-features
Proceedings of the third ACM conference on Recommender systems
Constructing ensembles of classifiers by means of weighted instance selection
IEEE Transactions on Neural Networks
Artificial Intelligence Review
Group search optimizer: an optimization algorithm inspired by animal searching behavior
IEEE Transactions on Evolutionary Computation
GA-stacking: Evolutionary stacked generalization
Intelligent Data Analysis
Collaborative multi-agent rock facies classification from wireline well log data
Engineering Applications of Artificial Intelligence
Employing personal/impersonal views in supervised and semi-supervised sentiment classification
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
Sentiment classification and polarity shifting
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics
A meta learning approach: classification by cluster analysis
AIMSA'10 Proceedings of the 14th international conference on Artificial intelligence: methodology, systems, and applications
Stacking class probabilities obtained from view-based cluster ensembles
ICAISC'10 Proceedings of the 10th international conference on Artificial intelligence and soft computing: Part I
Ensemble of feature sets and classification algorithms for sentiment classification
Information Sciences: an International Journal
Reranking for stacking ensemble learning
ICONIP'10 Proceedings of the 17th international conference on Neural information processing: theory and algorithms - Volume Part I
Exploring the use of word relation features for sentiment classification
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics: Posters
Novel fusion methods for pattern recognition
ECML PKDD'11 Proceedings of the 2011 European conference on Machine learning and knowledge discovery in databases - Volume Part I
An experimental study of one- and two-level classifier fusion for different sample sizes
Pattern Recognition Letters
Classification by cluster analysis: a new meta-learning based approach
MCS'11 Proceedings of the 10th international conference on Multiple classifier systems
A case study of stacked multi-view learning in dementia research
AIME'11 Proceedings of the 13th conference on Artificial intelligence in medicine
Applying REC analysis to ensembles of sigma-point kalman filters
ICANN'06 Proceedings of the 16th international conference on Artificial Neural Networks - Volume Part II
Protein classification with multiple algorithms
PCI'05 Proceedings of the 10th Panhellenic conference on Advances in Informatics
Fingerprint authentication based on matching scores with other data
ICB'06 Proceedings of the 2006 international conference on Advances in Biometrics
StackTIS: A stacked generalization approach for effective prediction of translation initiation sites
Computers in Biology and Medicine
Error-sensitive grading for model combination
ECML'05 Proceedings of the 16th European conference on Machine Learning
On hybrid classification using model assisted posterior estimates
Pattern Recognition
IWANN'05 Proceedings of the 8th international conference on Artificial Neural Networks: computational Intelligence and Bioinspired Systems
A group search optimizer for neural network training
ICCSA'06 Proceedings of the 2006 international conference on Computational Science and Its Applications - Volume Part III
Exploratory class-imbalanced and non-identical data distribution in automatic keyphrase extraction
ISNN'12 Proceedings of the 9th international conference on Advances in Neural Networks - Volume Part II
Predicting warfarin dosage from clinical data: A supervised learning approach
Artificial Intelligence in Medicine
Rough set Based Ensemble Classifier forWeb Page Classification
Fundamenta Informaticae
A meta learning approach to grammatical error correction
ACL '12 Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Short Papers - Volume 2
A weakly supervised model for sentence-level semantic orientation analysis with multiple experts
EMNLP-CoNLL '12 Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning
Improving reliability of oil spill detection systems using boosting for high-level feature selection
ICIAR'07 Proceedings of the 4th international conference on Image Analysis and Recognition
Minimal correlation classification
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part VI
Artificial neural network training using a new efficient optimization algorithm
Applied Soft Computing
Assembling the optimal sentiment classifiers
WISE'12 Proceedings of the 13th international conference on Web Information Systems Engineering
Model selection based product kernel learning for regression on graphs
Proceedings of the 28th Annual ACM Symposium on Applied Computing
Outlier ensembles: position paper
ACM SIGKDD Explorations Newsletter
Improving quality control by early prediction of manufacturing outcomes
Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining
Classification in P2P networks with cascade support vector machines
ACM Transactions on Knowledge Discovery from Data (TKDD)
Learning ensemble classifiers via restricted Boltzmann machines
Pattern Recognition Letters
A framework for selection and fusion of pattern classifiers in multimedia recognition
Pattern Recognition Letters
Hybrid random subsample classifier ensemble for high dimensional data sets
International Journal of Hybrid Intelligent Systems
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We empirically evaluate several state-of-the-art methods for constructing ensembles of heterogeneous classifiers with stacking and show that they perform (at best) comparably to selecting the best classifier from the ensemble by cross validation. Among state-of-the-art stacking methods, stacking with probability distributions and multi-response linear regression performs best. We propose two extensions of this method, one using an extended set of meta-level features and the other using multi-response model trees to learn at the meta-level. We show that the latter extension performs better than existing stacking approaches and better than selecting the best classifier by cross validation.