Constructing Boosting Algorithms from SVMs: An Application to One-Class Classification
IEEE Transactions on Pattern Analysis and Machine Intelligence
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
Stacking for Misclassification Cost Performance
AI '01 Proceedings of the 14th Biennial Conference of the Canadian Society on Computational Studies of Intelligence: Advances in Artificial Intelligence
A Consistent Strategy for Boosting Algorithms
COLT '02 Proceedings of the 15th Annual Conference on Computational Learning Theory
Algorithmic Aspects of Boosting
Progress in Discovery Science, Final Report of the Japanese Discovery Science Project
Reducing multiclass to binary: a unifying approach for margin classifiers
The Journal of Machine Learning Research
Comparing Pure Parallel Ensemble Creation Techniques Against Bagging
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
On the rate of convergence of regularized boosting classifiers
The Journal of Machine Learning Research
Information geometry of U-Boost and Bregman divergence
Neural Computation
A Monte Carlo analysis of ensemble classification
ICML '04 Proceedings of the twenty-first international conference on Machine learning
Boosting as a Regularized Path to a Maximum Margin Classifier
The Journal of Machine Learning Research
Learning query-class dependent weights in automatic video retrieval
Proceedings of the 12th annual ACM international conference on Multimedia
Why inverse document frequency?
NAACL '01 Proceedings of the second meeting of the North American Chapter of the Association for Computational Linguistics on Language technologies
ACAS: automated construction of application signatures
Proceedings of the 2005 ACM SIGCOMM workshop on Mining network data
Model-based overlapping clustering
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining
Learning silhouette features for control of human motion
ACM Transactions on Graphics (TOG)
Towards efficient automated singer identification in large music databases
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
Boosted Classification Trees and Class Probability/Quantile Estimation
The Journal of Machine Learning Research
A scalable modular convex solver for regularized risk minimization
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
Fast direction-aware proximity for graph mining
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
An Extension of Iterative Scaling for Decision and Data Aggregation in Ensemble Classification
Journal of VLSI Signal Processing Systems
An analysis of facial expression recognition under partial facial image occlusion
Image and Vision Computing
Evidence Contrary to the Statistical View of Boosting
The Journal of Machine Learning Research
A novel framework for efficient automated singer identification in large music databases
ACM Transactions on Information Systems (TOIS)
Multiclass Boosting Algorithms for Shrinkage Estimators of Class Probability
IEICE - Transactions on Information and Systems
Intrinsic Geometries in Learning
Emerging Trends in Visual Computing
Monte Carlo theory as an explanation of bagging and boosting
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
Optimized Cutting Plane Algorithm for Large-Scale Risk Minimization
The Journal of Machine Learning Research
Bundle Methods for Regularized Risk Minimization
The Journal of Machine Learning Research
Unifying divergence minimization and statistical inference via convex duality
COLT'06 Proceedings of the 19th annual conference on Learning Theory
Improving Logitboost with prior knowledge
Information Fusion
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