STOC '02 Proceedings of the thiry-fourth annual ACM symposium on Theory of computing
Wrapping Boosters against Noise
AI '01 Proceedings of the 14th Australian Joint Conference on Artificial Intelligence: Advances in Artificial Intelligence
How Can Computer Science Contribute to Knowledge Discovery?
SOFSEM '01 Proceedings of the 28th Conference on Current Trends in Theory and Practice of Informatics Piestany: Theory and Practice of Informatics
A Simpler Analysis of the Multi-way Branching Decision Tree Boosting Algorithm
ALT '01 Proceedings of the 12th International Conference on Algorithmic Learning Theory
Optimally-Smooth Adaptive Boosting and Application to Agnostic Learning
ALT '02 Proceedings of the 13th International Conference on Algorithmic Learning Theory
Smooth Boosting and Learning with Malicious Noise
COLT '01/EuroCOLT '01 Proceedings of the 14th Annual Conference on Computational Learning Theory and and 5th European Conference on Computational Learning Theory
Sequential Sampling Techniques for Algorithmic Learning Theory
ALT '00 Proceedings of the 11th International Conference on Algorithmic Learning Theory
Algorithmic Aspects of Boosting
Progress in Discovery Science, Final Report of the Japanese Discovery Science Project
An introduction to boosting and leveraging
Advanced lectures on machine learning
Online Ensemble Learning: An Empirical Study
Machine Learning
On boosting with polynomially bounded distributions
The Journal of Machine Learning Research
Optimally-smooth adaptive boosting and application to agnostic learning
The Journal of Machine Learning Research
Smooth boosting and learning with malicious noise
The Journal of Machine Learning Research
Information geometry of U-Boost and Bregman divergence
Neural Computation
Boosting grammatical inference with confidence oracles
ICML '04 Proceedings of the twenty-first international conference on Machine learning
Robust boosting and its relation to bagging
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining
Robustifying AdaBoost by Adding the Naive Error Rate
Neural Computation
Sequential sampling techniques for algorithmic learning theory
Theoretical Computer Science - Algorithmic learning theory (ALT 2000)
Fast Kernel Classifiers with Online and Active Learning
The Journal of Machine Learning Research
A Real generalization of discrete AdaBoost
Artificial Intelligence
Nonlinear Boosting Projections for Ensemble Construction
The Journal of Machine Learning Research
Robust Loss Functions for Boosting
Neural Computation
Robust face detection in airports
EURASIP Journal on Applied Signal Processing
Robust boosting algorithm against mislabeling in multiclass problems
Neural Computation
Random classification noise defeats all convex potential boosters
Proceedings of the 25th international conference on Machine learning
Proceedings of the 25th international conference on Machine learning
Avoiding Boosting Overfitting by Removing Confusing Samples
ECML '07 Proceedings of the 18th European conference on Machine Learning
Boosting Threshold Classifiers for High--- Dimensional Data in Functional Genomics
ANNPR '08 Proceedings of the 3rd IAPR workshop on Artificial Neural Networks in Pattern Recognition
Smooth Boosting for Margin-Based Ranking
ALT '08 Proceedings of the 19th international conference on Algorithmic Learning Theory
Supervised projection approach for boosting classifiers
Pattern Recognition
A Real generalization of discrete AdaBoost
Proceedings of the 2006 conference on ECAI 2006: 17th European Conference on Artificial Intelligence August 29 -- September 1, 2006, Riva del Garda, Italy
ODDboost: Incorporating Posterior Estimates into AdaBoost
MLDM '09 Proceedings of the 6th International Conference on Machine Learning and Data Mining in Pattern Recognition
An empirical comparison of three boosting algorithms on real data sets with artificial class noise
MCS'03 Proceedings of the 4th international conference on Multiple classifier systems
Improving boosting by exploiting former assumptions
MCD'07 Proceedings of the 3rd ECML/PKDD international conference on Mining complex data
Edited AdaBoost by weighted kNN
Neurocomputing
A low variance error boosting algorithm
Applied Intelligence
S-adaboost and pattern detection in complex environment
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
Approximate reduction from AUC maximization to 1-norm soft margin optimization
ALT'11 Proceedings of the 22nd international conference on Algorithmic learning theory
Unsupervised Weight Parameter Estimation Method for Ensemble Learning
Journal of Mathematical Modelling and Algorithms
Smooth boosting using an information-based criterion
ALT'06 Proceedings of the 17th international conference on Algorithmic Learning Theory
A noise-detection based AdaBoost algorithm for mislabeled data
Pattern Recognition
Improving Logitboost with prior knowledge
Information Fusion
Fully corrective boosting with arbitrary loss and regularization
Neural Networks
Algorithms and hardness results for parallel large margin learning
The Journal of Machine Learning Research
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