Relative information: theories and applications
Relative information: theories and applications
The Strength of Weak Learnability
Machine Learning
On-line learning of linear functions
Computational Complexity
Boosting a weak learning algorithm by majority
Information and Computation
Inducing Features of Random Fields
IEEE Transactions on Pattern Analysis and Machine Intelligence
Exponentiated gradient versus gradient descent for linear predictors
Information and Computation
Using and combining predictors that specialize
STOC '97 Proceedings of the twenty-ninth annual ACM symposium on Theory of computing
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
The binary exponentiated gradient algorithm for learning linear functions
COLT '97 Proceedings of the tenth annual conference on Computational learning theory
COLT' 98 Proceedings of the eleventh annual conference on Computational learning theory
Improved boosting algorithms using confidence-rated predictions
COLT' 98 Proceedings of the eleventh annual conference on Computational learning theory
Additive models, boosting, and inference for generalized divergences
COLT '99 Proceedings of the twelfth annual conference on Computational learning theory
Relative loss bounds for on-line density estimation with the exponential family of distributions
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
Additive models, boosting, and inference for generalized divergences
COLT '99 Proceedings of the twelfth annual conference on Computational learning theory
Sparse Regression Ensembles in Infinite and Finite Hypothesis Spaces
Machine Learning
Logistic Regression, AdaBoost and Bregman Distances
Machine Learning
Constructing Boosting Algorithms from SVMs: An Application to One-Class Classification
IEEE Transactions on Pattern Analysis and Machine Intelligence
A geometric approach to leveraging weak learners
Theoretical Computer Science
Maximizing the Margin with Boosting
COLT '02 Proceedings of the 15th Annual Conference on Computational Learning Theory
Minimum majority classification and boosting
Eighteenth national conference on Artificial intelligence
Machine Learning
An introduction to boosting and leveraging
Advanced lectures on machine learning
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
Surrogate maximization/minimization algorithms for AdaBoost and the logistic regression model
ICML '04 Proceedings of the twenty-first international conference on Machine learning
ICML '06 Proceedings of the 23rd international conference on Machine learning
Totally corrective boosting algorithms that maximize the margin
ICML '06 Proceedings of the 23rd international conference on Machine learning
IEEE Transactions on Pattern Analysis and Machine Intelligence
Efficient Margin Maximizing with Boosting
The Journal of Machine Learning Research
MutualBoost learning for selecting Gabor features for face recognition
Pattern Recognition Letters
A Real generalization of discrete AdaBoost
Artificial Intelligence
MutualBoost learning for selecting Gabor features for face recognition
Pattern Recognition Letters - Special issue on vision for crime detection and prevention
Surrogate maximization/minimization algorithms and extensions
Machine Learning
A boosting approach to remove class label noise
International Journal of Hybrid Intelligent Systems - Hybrid Intelligent systems in Ensembles
Sketching information divergences
Machine Learning
Surrogate maximization/minimization algorithms and extensions
Machine Learning
ALT '08 Proceedings of the 19th international conference on Algorithmic Learning Theory
SSPR & SPR '08 Proceedings of the 2008 Joint IAPR International Workshop on Structural, Syntactic, and Statistical 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
Universal Estimation of Information Measures for Analog Sources
Foundations and Trends in Communications and Information Theory
Ensembles of partially trained SWMs with multiplicative updates
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Cascade boosting-based object detection from high-level description to hardware implementation
EURASIP Journal on Embedded Systems - Special issue on design and architectures for signal and image processing
Boosting with averaged weight vectors
MCS'03 Proceedings of the 4th international conference on Multiple classifier systems
Sketching information divergences
COLT'07 Proceedings of the 20th annual conference on Learning theory
An EDBoost algorithm towards robust face recognition in JPEG compressed domain
Image and Vision Computing
Adaboost with totally corrective updates for fast face detection
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
Totally-corrective multi-class boosting
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part IV
UAI'02 Proceedings of the Eighteenth conference on Uncertainty in artificial intelligence
Feature selection and dualities in maximum entropy discrimination
UAI'00 Proceedings of the Sixteenth conference on Uncertainty in artificial intelligence
Diversified SVM ensembles for large data sets
ECML'06 Proceedings of the 17th European conference on Machine Learning
Unifying divergence minimization and statistical inference via convex duality
COLT'06 Proceedings of the 19th annual conference on Learning Theory
Efficient shape indexing using an information theoretic representation
CIVR'05 Proceedings of the 4th international conference on Image and Video Retrieval
A primal-dual convergence analysis of boosting
The Journal of Machine Learning Research
A survey of multiple classifier systems as hybrid systems
Information Fusion
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