On the Algorithmic Implementation of Stochastic Discrimination
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Simple Implementation of the Stochastic Discrimination for Pattern Recognition
Proceedings of the Joint IAPR International Workshops on Advances in Pattern Recognition
Shared Ensemble Learning Using Multi-trees
IBERAMIA 2002 Proceedings of the 8th Ibero-American Conference on AI: Advances in Artificial Intelligence
Increasing the Number of Classifiers in Multi-classifier Systems: A Complementarity-Based Analysis
DAS '02 Proceedings of the 5th International Workshop on Document Analysis Systems V
A Mathematically Rigorous Foundation for Supervised Learning
MCS '00 Proceedings of the First International Workshop on Multiple Classifier Systems
Complexity of Classification Problems and Comparative Advantages of Combined Classifiers
MCS '00 Proceedings of the First International Workshop on Multiple Classifier Systems
Applying incremental tree induction to retrieval from manuals and medical texts
Journal of the American Society for Information Science and Technology
Random subspace method for multivariate feature selection
Pattern Recognition Letters
Reducing weight undertraining in structured discriminative learning
HLT-NAACL '06 Proceedings of the main conference on Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics
Accelerating feature-vector matching using multiple-tree and sub-vector methods
Pattern Recognition
A Comparison of Evolvable Hardware Architectures for Classification Tasks
ICES '08 Proceedings of the 8th international conference on Evolvable Systems: From Biology to Hardware
Information Security Tech. Report
Decision Tree Learning Using a Bayesian Approach at Each Node
Canadian AI '09 Proceedings of the 22nd Canadian Conference on Artificial Intelligence: Advances in Artificial Intelligence
Understanding and capturing people's privacy policies in a mobile social networking application
Personal and Ubiquitous Computing
Concept Drifting Detection on Noisy Streaming Data in Random Ensemble Decision Trees
MLDM '09 Proceedings of the 6th International Conference on Machine Learning and Data Mining in Pattern Recognition
Evaluating the Impact of Missing Data Imputation
ADMA '09 Proceedings of the 5th International Conference on Advanced Data Mining and Applications
Learning Deep Architectures for AI
Foundations and Trends® in Machine Learning
Multiple classifier application to credit risk assessment
Expert Systems with Applications: An International Journal
Combining SVM classifiers using genetic fuzzy systems based on AUC for gene expression data analysis
ISBRA'07 Proceedings of the 3rd international conference on Bioinformatics research and applications
Predicting vertical acceleration of railway wagons using regression algorithms
IEEE Transactions on Intelligent Transportation Systems
Class-specific error bounds for ensemble classifiers
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
Ensemble missing data techniques for software effort prediction
Intelligent Data Analysis
Weakly supervised classification of objects in images using soft random forests
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part IV
Towards automatic quality assurance in Wikipedia
Proceedings of the 20th international conference companion on World wide web
DaWaK'11 Proceedings of the 13th international conference on Data warehousing and knowledge discovery
Towards the processing of historic documents
NLP4DL'09/AT4DL'09 Proceedings of the 2009 international conference on Advanced language technologies for digital libraries
Investigation of random subspace and random forest methods applied to property valuation data
ICCCI'11 Proceedings of the Third international conference on Computational collective intelligence: technologies and applications - Volume Part I
Image retrieval with semantic sketches
INTERACT'11 Proceedings of the 13th IFIP TC 13 international conference on Human-computer interaction - Volume Part I
Symmetries from uniform space covering in stochastic discrimination
SSPR'06/SPR'06 Proceedings of the 2006 joint IAPR international conference on Structural, Syntactic, and Statistical Pattern Recognition
An evolutionary and attribute-oriented ensemble classifier
ICCSA'06 Proceedings of the 2006 international conference on Computational Science and Its Applications - Volume Part II
Constructing rough decision forests
RSFDGrC'05 Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part II
A modular approach to gesture recognition for interaction with a domestic service robot
ICIRA'11 Proceedings of the 4th international conference on Intelligent Robotics and Applications - Volume Part II
Foundations and Trends® in Computer Graphics and Vision
Investigation of rotation forest method applied to property price prediction
ICAISC'12 Proceedings of the 11th international conference on Artificial Intelligence and Soft Computing - Volume Part I
Scalable random forests for massive data
PAKDD'12 Proceedings of the 16th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining - Volume Part I
Predicting quality flaws in user-generated content: the case of wikipedia
SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
New machine learning algorithm: random forest
ICICA'12 Proceedings of the Third international conference on Information Computing and Applications
Joint classification-regression forests for spatially structured multi-object segmentation
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part IV
Classifying Very High-Dimensional Data with Random Forests Built from Small Subspaces
International Journal of Data Warehousing and Mining
A Multi-Expert System for chlorine electrolyzer monitoring
Expert Systems with Applications: An International Journal
Random subspace evidence classifier
Neurocomputing
A survey of multiple classifier systems as hybrid systems
Information Fusion
Guiding multidimensional analysis using decision trees
CASCON '13 Proceedings of the 2013 Conference of the Center for Advanced Studies on Collaborative Research
Real-time traffic sign recognition in three stages
Robotics and Autonomous Systems
Strokes against stroke-strokes for strides
Pattern Recognition
A random forest classifier for lymph diseases
Computer Methods and Programs in Biomedicine
Automated trading with performance weighted random forests and seasonality
Expert Systems with Applications: An International Journal
Active Rare Class Discovery and Classification Using Dirichlet Processes
International Journal of Computer Vision
An entropy-based approach to enhancing Random Forests
Intelligent Decision Technologies
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Decision trees are attractive classifiers due to their high execution speed. But trees derived with traditional methods often cannot be grown to arbitrary complexity for possible loss of generalization accuracy on unseen data. The limitation on complexity usually means suboptimal accuracy on training data. Following the principles of stochastic modeling, we propose a method to construct tree-based classifiers whose capacity can be arbitrarily expanded for increases in accuracy for both training and unseen data. The essence of the method is to build multiple trees in randomly selected subspaces of the feature space. Trees in, different subspaces generalize their classification in complementary ways, and their combined classification can be monotonically improved. The validity of the method is demonstrated through experiments on the recognition of handwritten digits.