Classification

Bilinear Discriminant Component Analysis JMLR 2007 Boosted Classification Trees and Class Probability/Quantile Estimation JMLR 2007 Boosting Algorithms for Maximizing the Soft Margin NeurIPS 2007 Boosting the Area under the ROC Curve NeurIPS 2007 Bundle Methods for Machine Learning NeurIPS 2007 Classification in Networked Data: A Toolkit and a Univariate Case Study JMLR 2007 Classification via Minimum Incremental Coding Length (MICL) NeurIPS 2007 Comments on the “Core Vector Machines: Fast SVM Training on Very Large Data Sets" JMLR 2007 Compression-Based Averaging of Selective Naive Bayes Classifiers JMLR 2007 Concave Learners for Rankboost JMLR 2007 Configuration Estimates Improve Pedestrian Finding NeurIPS 2007 Consistent Feature Selection for Pattern Recognition in Polynomial Time JMLR 2007 Convex Learning with Invariances NeurIPS 2007 DIFFRAC: a discriminative and flexible framework for clustering NeurIPS 2007 Dimensionality Reduction of Multimodal Labeled Data by Local Fisher Discriminant Analysis JMLR 2007 Discriminative Batch Mode Active Learning NeurIPS 2007 Discriminative Keyword Selection Using Support Vector Machines NeurIPS 2007 Discriminative K-means for Clustering NeurIPS 2007 Discriminative Log-Linear Grammars with Latent Variables NeurIPS 2007 Dynamic Conditional Random Fields: Factorized Probabilistic Models for Labeling and Segmenting Sequence Data JMLR 2007 Dynamics and Generalization Ability of LVQ Algorithms JMLR 2007 Dynamic Weighted Majority: An Ensemble Method for Drifting Concepts JMLR 2007 EEG-Based Brain-Computer Interaction: Improved Accuracy by Automatic Single-Trial Error Detection NeurIPS 2007 Efficient Convex Relaxation for Transductive Support Vector Machine NeurIPS 2007 Expectation Maximization and Posterior Constraints NeurIPS 2007