Decision trees and transient stability of electric power systems
Automatica (Journal of IFAC)
A Further Comparison of Splitting Rules for Decision-Tree Induction
Machine Learning
Neural networks and the bias/variance dilemma
Neural Computation
Original Contribution: Stacked generalization
Neural Networks
C4.5: programs for machine learning
C4.5: programs for machine learning
Machine Learning
Error reduction through learning multiple descriptions
Machine Learning
The Random Subspace Method for Constructing Decision Forests
IEEE Transactions on Pattern Analysis and Machine Intelligence
MultiBoosting: A Technique for Combining Boosting and Wagging
Machine Learning
Randomizing Outputs to Increase Prediction Accuracy
Machine Learning
Automatic Learning Techniques in Power Systems
Automatic Learning Techniques in Power Systems
Machine Learning
On Bias, Variance, 0/1—Loss, and the Curse-of-Dimensionality
Data Mining and Knowledge Discovery
Variance and Bias for General Loss Functions
Machine Learning
Stochastic Attribute Selection Committees
AI '98 Selected papers from the 11th Australian Joint Conference on Artificial Intelligence on Advanced Topics in Artificial Intelligence
A decision-theoretic generalization of on-line learning and an application to boosting
EuroCOLT '95 Proceedings of the Second European Conference on Computational Learning Theory
Inference for the Generalization Error
Machine Learning
The Journal of Machine Learning Research
Multistrategy Ensemble Learning: Reducing Error by Combining Ensemble Learning Techniques
IEEE Transactions on Knowledge and Data Engineering
Bias-Variance Analysis of Support Vector Machines for the Development of SVM-Based Ensemble Methods
The Journal of Machine Learning Research
Segment and combine approach for non-parametric time-series classification
PKDD'05 Proceedings of the 9th European conference on Principles and Practice of Knowledge Discovery in Databases
Kernelizing the output of tree-based methods
ICML '06 Proceedings of the 23rd international conference on Machine learning
Machine-learnt versus analytical models of TCP throughput
Computer Networks: The International Journal of Computer and Telecommunications Networking
Gradient boosting for kernelized output spaces
Proceedings of the 24th international conference on Machine learning
Forest-RK: A New Random Forest Induction Method
ICIC '08 Proceedings of the 4th international conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications - with Aspects of Artificial Intelligence
High scale video mining with forests of fuzzy decision trees
CSTST '08 Proceedings of the 5th international conference on Soft computing as transdisciplinary science and technology
Using decision trees to recognize visual events
AREA '08 Proceedings of the 1st ACM workshop on Analysis and retrieval of events/actions and workflows in video streams
Segmentation and Recognition Using Structure from Motion Point Clouds
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part I
Random Subwindows for Robust Peak Recognition in Intracranial Pressure Signals
ISVC '08 Proceedings of the 4th International Symposium on Advances in Visual Computing
Frontal-view gait recognition by intra- and inter-frame rectangle size distribution
Pattern Recognition Letters
Probability Density Estimation by Perturbing and Combining Tree Structured Markov Networks
ECSQARU '09 Proceedings of the 10th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
A Bayesian Random Split to Build Ensembles of Classification Trees
ECSQARU '09 Proceedings of the 10th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
A Study of Random Linear Oracle Ensembles
MCS '09 Proceedings of the 8th International Workshop on Multiple Classifier Systems
Comparison of Bagging and Boosting Algorithms on Sample and Feature Weighting
MCS '09 Proceedings of the 8th International Workshop on Multiple Classifier Systems
Global Context Extraction for Object Recognition Using a Combination of Range and Visual Features
Dyn3D '09 Proceedings of the DAGM 2009 Workshop on Dynamic 3D Imaging
Learning with Few Examples by Transferring Feature Relevance
Proceedings of the 31st DAGM Symposium on Pattern Recognition
Adaptive treatment of epilepsy via batch-mode reinforcement learning
IAAI'08 Proceedings of the 20th national conference on Innovative applications of artificial intelligence - Volume 3
Spectrum of variable-random trees
Journal of Artificial Intelligence Research
Real-time planning for parameterized human motion
Proceedings of the 2008 ACM SIGGRAPH/Eurographics Symposium on Computer Animation
Real-time bag of words, approximately
Proceedings of the ACM International Conference on Image and Video Retrieval
Dense sampling and fast encoding for 3D model retrieval using bag-of-visual features
Proceedings of the ACM International Conference on Image and Video Retrieval
Reinforcement learning versus model predictive control: a comparison on a power system problem
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Lossless Online Ensemble Learning (LOEL) and Its Application to Subcortical Segmentation
MICCAI '09 Proceedings of the 12th International Conference on Medical Image Computing and Computer-Assisted Intervention: Part II
Object Recognition Based on Efficient Sub-window Search
AICI '09 Proceedings of the International Conference on Artificial Intelligence and Computational Intelligence
Randomized Tree Ensembles for Object Detection in Computational Pathology
ISVC '09 Proceedings of the 5th International Symposium on Advances in Visual Computing: Part I
On the selection of decision trees in random forests
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
A Study of Parts-Based Object Class Detection Using Complete Graphs
International Journal of Computer Vision
Why fuzzy decision trees are good rankers
IEEE Transactions on Fuzzy Systems
Unsupervised human motion analysis using automatic label trees
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
Incremental indexing and distributed image search using shared randomized vocabularies
Proceedings of the international conference on Multimedia information retrieval
International Journal of Computer Vision
Ensemble classification based on generalized additive models
Computational Statistics & Data Analysis
Content-based image retrieval by indexing random subwindows with randomized trees
ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part II
Towards a better understanding of random forests through the study of strength and correlation
ICIC'09 Proceedings of the Intelligent computing 5th international conference on Emerging intelligent computing technology and applications
An incremental extremely random forest classifier for online learning and tracking
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Visual event recognition using decision trees
Multimedia Tools and Applications
Combining predictions for accurate recommender systems
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
EURASIP Journal on Advances in Signal Processing - Special issue on advances in multidimensional synthetic aperture radar signal processing
Distance metric learning and feature combination for shape-based 3D model retrieval
Proceedings of the ACM workshop on 3D object retrieval
Weakly supervised classification of objects in images using soft random forests
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part IV
Semantic segmentation of urban scenes using dense depth maps
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part IV
Learning with ensembles of randomized trees: new insights
ECML PKDD'10 Proceedings of the 2010 European conference on Machine learning and knowledge discovery in databases: Part III
Pattern Recognition Letters
Randomized locality sensitive vocabularies for bag-of-features model
ECCV'10 Proceedings of the 11th European conference on computer vision conference on Computer vision: Part III
Inference on the prediction of ensembles of infinite size
Pattern Recognition
Unsupervised moving object detection with on-line generalized hough transform
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part III
Randomised manifold forests for principal angle-based face recognition
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part IV
Efficient Gaussian process classification using random decision forests
Pattern Recognition and Image Analysis
Entangled decision forests and their application for semantic segmentation of CT images
IPMI'11 Proceedings of the 22nd international conference on Information processing in medical imaging
ECML PKDD'11 Proceedings of the 2011 European conference on Machine learning and knowledge discovery in databases - Volume Part II
Estimation of human orientation in images captured with a range camera
ACIVS'11 Proceedings of the 13th international conference on Advanced concepts for intelligent vision systems
New object detection features in the OpenCV library
Pattern Recognition and Image Analysis
GRASP forest: a new ensemble method for trees
MCS'11 Proceedings of the 10th international conference on Multiple classifier systems
MLMI'11 Proceedings of the Second international conference on Machine learning in medical imaging
Regionwise classification of building facade images
PIA'11 Proceedings of the 2011 ISPRS conference on Photogrammetric image analysis
Automatic localization of interest points in zebrafish images with tree-based methods
PRIB'11 Proceedings of the 6th IAPR international conference on Pattern recognition in bioinformatics
Approximate policy iteration for closed-loop learning of visual tasks
ECML'06 Proceedings of the 17th European conference on Machine Learning
Robust analysis of silhouettes by morphological size distributions
ACIVS'06 Proceedings of the 8th international conference on Advanced Concepts For Intelligent Vision Systems
The Visual Extent of an Object
International Journal of Computer Vision
Novel ensemble methods for regression via classification problems
Expert Systems with Applications: An International Journal
Co-occurrence random forests for object localization and classification
ACCV'09 Proceedings of the 9th Asian conference on Computer Vision - Volume Part III
Reinforcement learning with raw image pixels as input state
IWICPAS'06 Proceedings of the 2006 Advances in Machine Vision, Image Processing, and Pattern Analysis international conference on Intelligent Computing in Pattern Analysis/Synthesis
Data-driven dynamic emulation modelling for the optimal management of environmental systems
Environmental Modelling & Software
Foundations and Trends® in Computer Graphics and Vision
Building implicit dictionaries based on extreme random clustering for modality recognition
MCBR-CDS'11 Proceedings of the Second MICCAI international conference on Medical Content-Based Retrieval for Clinical Decision Support
Large-scale Gaussian process classification using random decision forests
Pattern Recognition and Image Analysis
Pattern Recognition Letters
Goal-Directed online learning of predictive models
EWRL'11 Proceedings of the 9th European conference on Recent Advances in Reinforcement Learning
An automated vision based on-line novel percept detection method for a mobile robot
Robotics and Autonomous Systems
SHREC'10 track: large scale retrieval
EG 3DOR'10 Proceedings of the 3rd Eurographics conference on 3D Object Retrieval
SHREC'10 track: generic 3D warehouse
EG 3DOR'10 Proceedings of the 3rd Eurographics conference on 3D Object Retrieval
SHREC'10 track: non-rigid 3D shape retrieval
EG 3DOR'10 Proceedings of the 3rd Eurographics conference on 3D Object Retrieval
SHREC'10 track: range scan retrieval
EG 3DOR'10 Proceedings of the 3rd Eurographics conference on 3D Object Retrieval
3D object retrieval via range image queries based on SIFT descriptors on panoramic views
EG 3DOR'12 Proceedings of the 5th Eurographics conference on 3D Object Retrieval
Texture based decision tree classification for Arecanut
Proceedings of the CUBE International Information Technology Conference
Annotation propagation in large image databases via dense image correspondence
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part III
People orientation recognition by mixtures of wrapped distributions on random trees
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part V
Embedding monte carlo search of features in tree-based ensemble methods
ECML PKDD'12 Proceedings of the 2012 European conference on Machine Learning and Knowledge Discovery in Databases - Volume Part I
ECML PKDD'12 Proceedings of the 2012 European conference on Machine Learning and Knowledge Discovery in Databases - Volume Part I
Learning motion controllers with adaptive depth perception
EUROSCA'12 Proceedings of the 11th ACM SIGGRAPH / Eurographics conference on Computer Animation
Learning motion controllers with adaptive depth perception
Proceedings of the ACM SIGGRAPH/Eurographics Symposium on Computer Animation
A new random forest method for one-class classification
SSPR'12/SPR'12 Proceedings of the 2012 Joint IAPR international conference on Structural, Syntactic, and Statistical Pattern Recognition
How large should ensembles of classifiers be?
Pattern Recognition
On the prediction of popularity of trends and hits for user generated videos
Proceedings of the sixth ACM international conference on Web search and data mining
Relative forest for attribute prediction
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part I
Pattern Recognition
Hough-based tracking of non-rigid objects
Computer Vision and Image Understanding
A multi modal approach to gesture recognition from audio and video data
Proceedings of the 15th ACM on International conference on multimodal interaction
Detecting bipedal motion from correlated probabilistic trajectories
Pattern Recognition Letters
Dynamic random regression forests for real-time head pose estimation
Machine Vision and Applications
Effective named entity recognition for idiosyncratic web collections
Proceedings of the 23rd international conference on World wide web
A comparison of methods for sketch-based 3D shape retrieval
Computer Vision and Image Understanding
3D object retrieval via range image queries in a bag-of-visual-words context
The Visual Computer: International Journal of Computer Graphics
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This paper proposes a new tree-based ensemble method for supervised classification and regression problems. It essentially consists of randomizing strongly both attribute and cut-point choice while splitting a tree node. In the extreme case, it builds totally randomized trees whose structures are independent of the output values of the learning sample. The strength of the randomization can be tuned to problem specifics by the appropriate choice of a parameter. We evaluate the robustness of the default choice of this parameter, and we also provide insight on how to adjust it in particular situations. Besides accuracy, the main strength of the resulting algorithm is computational efficiency. A bias/variance analysis of the Extra-Trees algorithm is also provided as well as a geometrical and a kernel characterization of the models induced.