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Classification

15289 directly classified papers

Papers per year

Papers

Towards Holistic Scene Understanding: Feedback Enabled Cascaded Classification Models NIPS 2010
Tree Decomposition for Large-Scale SVM Problems JMLR 2010
Generative Local Metric Learning for Nearest Neighbor Classification NIPS 2010
Multitask Learning without Label Correspondences NIPS 2010
Linear readout from a neural population with partial correlation data NIPS 2010
Graph Kernels JMLR 2010
Classification with Incomplete Data Using Dirichlet Process Priors JMLR 2010
Learning Instance-Specific Predictive Models JMLR 2010
Consensus-Based Distributed Support Vector Machines JMLR 2010
Learning Translation Invariant Kernels for Classification JMLR 2010
Unsupervised Supervised Learning I: Estimating Classification and Regression Errors without Labels JMLR 2010
A Streaming Parallel Decision Tree Algorithm JMLR 2010
Classification Using Geometric Level Sets JMLR 2010
Local Causal and Markov Blanket Induction for Causal Discovery and Feature Selection for Classification Part II: Analysis and Extensions JMLR 2010
Local Causal and Markov Blanket Induction for Causal Discovery and Feature Selection for Classification Part I: Algorithms and Empirical Evaluation JMLR 2010
An Investigation of Missing Data Methods for Classification Trees Applied to Binary Response Data JMLR 2010
Classification Methods with Reject Option Based on Convex Risk Minimization JMLR 2010
Phoneme Recognition with Large Hierarchical Reservoirs NIPS 2010
Lower Bounds on Rate of Convergence of Cutting Plane Methods NIPS 2010
Active Estimation of F-Measures NIPS 2010
Structured Prediction Cascades AISTATS 2010
Active Learning Applied to Patient-Adaptive Heartbeat Classification NIPS 2010
Learning from Candidate Labeling Sets NIPS 2010
Error-Correcting Output Codes Library JMLR 2010
Learning From Crowds JMLR 2010