The Strength of Weak Learnability
Machine Learning
C4.5: programs for machine learning
C4.5: programs for machine learning
Boosting a weak learning algorithm by majority
Information and Computation
A decision-theoretic generalization of on-line learning and an application to boosting
Journal of Computer and System Sciences - Special issue: 26th annual ACM symposium on the theory of computing & STOC'94, May 23–25, 1994, and second annual Europe an conference on computational learning theory (EuroCOLT'95), March 13–15, 1995
Improved boosting algorithms using confidence-rated predictions
COLT' 98 Proceedings of the eleventh annual conference on Computational learning theory
Using output codes to boost multiclass learning problems
ICML '97 Proceedings of the Fourteenth International Conference on Machine Learning
An Efficient Boosting Algorithm for Combining Preferences
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
Estimation of Dependences Based on Empirical Data: Springer Series in Statistics (Springer Series in Statistics)
Solving multiclass learning problems via error-correcting output codes
Journal of Artificial Intelligence Research
An empirical evaluation of bagging and boosting
AAAI'97/IAAI'97 Proceedings of the fourteenth national conference on artificial intelligence and ninth conference on Innovative applications of artificial intelligence
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 1
How to Make AdaBoost.M1 Work for Weak Base Classifiers by Changing Only One Line of the Code
ECML '02 Proceedings of the 13th European Conference on Machine Learning
Dependence among Codeword Bits Errors in ECOC Learning Machines: An Experimental Analysis
MCS '01 Proceedings of the Second International Workshop on Multiple Classifier Systems
Learning Classification RBF Networks by Boosting
MCS '01 Proceedings of the Second International Workshop on Multiple Classifier Systems
When Can Two Unsupervised Learners Achieve PAC Separation?
COLT '01/EuroCOLT '01 Proceedings of the 14th Annual Conference on Computational Learning Theory and and 5th European Conference on Computational Learning Theory
An introduction to boosting and leveraging
Advanced lectures on machine learning
Reducing multiclass to binary: a unifying approach for margin classifiers
The Journal of Machine Learning Research
The Journal of Machine Learning Research
Error limiting reductions between classification tasks
ICML '05 Proceedings of the 22nd international conference on Machine learning
Unifying the error-correcting and output-code AdaBoost within the margin framework
ICML '05 Proceedings of the 22nd international conference on Machine learning
Stochastic Organization of Output Codes in Multiclass Learning Problems
Neural Computation
Multiclass boosting with repartitioning
ICML '06 Proceedings of the 23rd international conference on Machine learning
Unifying multi-class AdaBoost algorithms with binary base learners under the margin framework
Pattern Recognition Letters
Multiclass cell detection in bright field images of cell mixtures with ECOC probability estimation
Image and Vision Computing
Boosting recombined weak classifiers
Pattern Recognition Letters
Augmented Display of Anatomical Names of Bronchial Branches for Bronchoscopy Assistance
MIAR '08 Proceedings of the 4th international workshop on Medical Imaging and Augmented Reality
Facial Trait Code and Its Application to Face Recognition
ISVC '08 Proceedings of the 4th International Symposium on Advances in Visual Computing, Part II
Boosting One-Class Support Vector Machines for Multi-Class Classification
Applied Artificial Intelligence
An Information Theoretic Perspective on Multiple Classifier Systems
MCS '09 Proceedings of the 8th International Workshop on Multiple Classifier Systems
A multiclass classification method based on decoding of binary classifiers
Neural Computation
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 2
Fusion of systems for automated cell phenotype image classification
Expert Systems with Applications: An International Journal
Pattern Recognition Letters
Good error correcting output codes for adaptive multiclass learning
MCS'03 Proceedings of the 4th international conference on Multiple classifier systems
ALT'09 Proceedings of the 20th international conference on Algorithmic learning theory
Asymmetrically boosted HMM for speech reading
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Robust multi-view boosting with priors
ECCV'10 Proceedings of the 11th European conference on computer vision conference on Computer vision: Part III
Totally-corrective multi-class boosting
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part IV
BSPNN: boosted subspace probabilistic neural network for email security
Artificial Intelligence Review
A new ensemble-based cascaded framework for multiclass training with simple weak learners
CAIP'11 Proceedings of the 14th international conference on Computer analysis of images and patterns - Volume Part I
Shaping the error-reject curve of error correcting output coding systems
ICIAP'11 Proceedings of the 16th international conference on Image analysis and processing: Part I
ALT'05 Proceedings of the 16th international conference on Algorithmic Learning Theory
Sensitive error correcting output codes
COLT'05 Proceedings of the 18th annual conference on Learning Theory
Improving Logitboost with prior knowledge
Information Fusion
Coarse-to-fine multiclass learning and classification for time-critical domains
Pattern Recognition Letters
Fast training of effective multi-class boosting using coordinate descent optimization
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part II
Multi-class boosting with asymmetric binary weak-learners
Pattern Recognition
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