The Strength of Weak Learnability
Machine Learning
COLT '90 Proceedings of the third annual workshop on Computational learning theory
STOC '93 Proceedings of the twenty-fifth annual ACM symposium on Theory of computing
A randomization rule for selecting forecasts
Operations Research
The weighted majority algorithm
Information and Computation
Fast approximation algorithms for fractional packing and covering problems
Mathematics of Operations Research
Boosting a weak learning algorithm by majority
Information and Computation
Predicting a binary sequence almost as well as the optimal biased coin
COLT '96 Proceedings of the ninth annual conference on Computational learning theory
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
Boosting in the limit: maximizing the margin of learned ensembles
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Prediction games and arcing algorithms
Neural Computation
Machine Learning
Proceedings of the fifth international conference on Autonomous agents
Static optimality and dynamic search-optimality in lists and trees
SODA '02 Proceedings of the thirteenth annual ACM-SIAM symposium on Discrete algorithms
Online algorithms for market clearing
SODA '02 Proceedings of the thirteenth annual ACM-SIAM symposium on Discrete algorithms
Boosting Algorithms for Parallel and Distributed Learning
Distributed and Parallel Databases - Special issue: Parallel and distributed data mining
PAC Analogues of Perceptron and Winnow Via Boosting the Margin
Machine Learning
Sparse Regression Ensembles in Infinite and Finite Hypothesis Spaces
Machine Learning
Constructing Boosting Algorithms from SVMs: An Application to One-Class Classification
IEEE Transactions on Pattern Analysis and Machine Intelligence
Is a Greedy Covering Strategy an Extreme Boosting?
ISMIS '02 Proceedings of the 13th International Symposium on Foundations of Intelligent Systems
EuroCOLT '99 Proceedings of the 4th European Conference on Computational Learning Theory
Theoretical Views of Boosting and Applications
ALT '99 Proceedings of the 10th International Conference on Algorithmic Learning Theory
DS '98 Proceedings of the First International Conference on Discovery Science
Top-Down Decision Tree Boosting and Its Applications
Progress in Discovery Science, Final Report of the Japanese Discovery Science Project
Some Results on Weakly Accurate Base Learners for Boosting Regression and Classification
MCS '00 Proceedings of the First International Workshop on Multiple Classifier Systems
Boosting as a Monte Carlo Algorithm
AI*IA 01 Proceedings of the 7th Congress of the Italian Association for Artificial Intelligence on Advances in Artificial Intelligence
Geometric Bounds for Generalization in Boosting
COLT '01/EuroCOLT '01 Proceedings of the 14th Annual Conference on Computational Learning Theory and and 5th European Conference on Computational Learning Theory
A Consistent Strategy for Boosting Algorithms
COLT '02 Proceedings of the 15th Annual Conference on Computational Learning Theory
Top-down decision tree learning as information based boosting
Theoretical Computer Science
Minimum majority classification and boosting
Eighteenth national conference on Artificial intelligence
Proceedings of the thirty-fifth annual ACM symposium on Theory of computing
An introduction to boosting and leveraging
Advanced lectures on machine learning
A Monte Carlo analysis of ensemble classification
ICML '04 Proceedings of the twenty-first international conference on Machine learning
Online learning in online auctions
Theoretical Computer Science - Special issue: Online algorithms in memoriam, Steve Seiden
Fast Binary Feature Selection with Conditional Mutual Information
The Journal of Machine Learning Research
Text classification based on data partitioning and parameter varying ensembles
Proceedings of the 2005 ACM symposium on Applied computing
SODA '05 Proceedings of the sixteenth annual ACM-SIAM symposium on Discrete algorithms
AdWords and Generalized On-line Matching
FOCS '05 Proceedings of the 46th Annual IEEE Symposium on Foundations of Computer Science
Boosting with Noisy Data: Some Views from Statistical Theory
Neural Computation
Different Paradigms for Choosing Sequential Reweighting Algorithms
Neural Computation
Neural Computation
Computer aided detection via asymmetric cascade of sparse hyperplane classifiers
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Online algorithms for market clearing
Journal of the ACM (JACM)
Increasing the Robustness of Boosting Algorithms within the Linear-programming Framework
Journal of VLSI Signal Processing Systems
Fast evaluation of neural networks via confidence rating
Neurocomputing
No-regret learning and a mechanism for distributed multiagent planning
Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems - Volume 1
ICANNGA '07 Proceedings of the 8th international conference on Adaptive and Natural Computing Algorithms, Part I
On the Complexity of Succinct Zero-Sum Games
Computational Complexity
Effective short-term opponent exploitation in simplified poker
Machine Learning
Classification of peptide mass fingerprint data by novel no-regret boosting method
Computers in Biology and Medicine
A brief introduction to boosting
IJCAI'99 Proceedings of the 16th international joint conference on Artificial intelligence - Volume 2
Cost-Sensitive Boosting: Fitting an Additive Asymmetric Logistic Regression Model
ACML '09 Proceedings of the 1st Asian Conference on Machine Learning: Advances in Machine Learning
Towards a portable intelligent facial expression recognizer
Intelligent Decision Technologies
Designing Model Based Classifiers by Emphasizing Soft Targets
Fundamenta Informaticae - Advances in Artificial Intelligence and Applications
Boosting by weighting critical and erroneous samples
Neurocomputing
Algorithms for playing games with limited randomness
ESA'07 Proceedings of the 15th annual European conference on Algorithms
Computational Statistics & Data Analysis
EURASIP Journal on Advances in Signal Processing - Special issue on advances in multidimensional synthetic aperture radar signal processing
A game-theoretic model of metaphorical bargaining
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
Approximation stability and boosting
ALT'10 Proceedings of the 21st international conference on Algorithmic learning theory
Face verification with aging using AdaBoost and local binary patterns
Proceedings of the Seventh Indian Conference on Computer Vision, Graphics and Image Processing
Ensembles and multiple classifiers: a game-theoretic view
MCS'11 Proceedings of the 10th international conference on Multiple classifier systems
LPD'04 Proceedings of the 2004 international conference on Local Pattern Detection
Effective confidence region prediction using probability forecasters
AIME'05 Proceedings of the 10th conference on Artificial Intelligence in Medicine
Designing Model Based Classifiers by Emphasizing Soft Targets
Fundamenta Informaticae - Advances in Artificial Intelligence and Applications
Face verification of age separated images under the influence of internal and external factors
Image and Vision Computing
Learning saliency-based visual attention: A review
Signal Processing
Differential privacy for the analyst via private equilibrium computation
Proceedings of the forty-fifth annual ACM symposium on Theory of computing
A theory of multiclass boosting
The Journal of Machine Learning Research
International Journal of Ad Hoc and Ubiquitous Computing
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