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Classification

15289 directly classified papers

Papers per year

Papers

Attribute-efficient learning of decision lists and linear threshold functions under unconcentrated distributions NIPS 2006
Support Vector Machines on a Budget NIPS 2006
Chained Boosting NIPS 2006
Generalized Bradley-Terry Models and Multi-Class Probability Estimates JMLR 2006
Incremental Algorithms for Hierarchical Classification JMLR 2006
Statistical Comparisons of Classifiers over Multiple Data Sets JMLR 2006
AdaBoost is Consistent NIPS 2006
Multi-Instance Multi-Label Learning with Application to Scene Classification NIPS 2006
Worst-Case Analysis of Selective Sampling for Linear Classification JMLR 2006
Second Order Cone Programming Approaches for Handling Missing and Uncertain Data JMLR 2006
A Direct Method for Building Sparse Kernel Learning Algorithms JMLR 2006
New Algorithms for Efficient High-Dimensional Nonparametric Classification JMLR 2006
Incremental Support Vector Learning: Analysis, Implementation and Applications JMLR 2006
Learning to Detect and Classify Malicious Executables in the Wild JMLR 2006
Consistency and Convergence Rates of One-Class SVMs and Related Algorithms JMLR 2006
Spam Filtering Based On The Analysis Of Text Information Embedded Into Images JMLR 2006
Parallel Software for Training Large Scale Support Vector Machines on Multiprocessor Systems JMLR 2006
Sparse Boosting JMLR 2006
Spam Filtering Using Statistical Data Compression Models JMLR 2006
Ensemble Pruning Via Semi-definite Programming JMLR 2006
Active learning for misspecified generalized linear models NIPS 2006
High-Dimensional Graphical Model Selection Using $\ell_1$-Regularized Logistic Regression NIPS 2006
Correcting Sample Selection Bias by Unlabeled Data NIPS 2006
On Inferring Application Protocol Behaviors in Encrypted Network Traffic JMLR 2006
A Hierarchy of Support Vector Machines for Pattern Detection JMLR 2006