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Classification

15,289 papers

Papers per year

Papers

Maximum Margin Partial Label Learning ACML 2015
Detecting Accounting Frauds in Publicly Traded U.S. Firms: A Machine Learning Approach ACML 2015
Surrogate regret bounds for generalized classification performance metrics ACML 2015
Statistical Unfolded Logic Learning ACML 2015
One-Pass Multi-View Learning ACML 2015
Efficient Sparse Clustering of High-Dimensional Non-spherical Gaussian Mixtures AISTATS 2015
Convex Multi-Task Learning by Clustering AISTATS 2015
Efficient Second-Order Gradient Boosting for Conditional Random Fields AISTATS 2015
A Topic Modeling Approach to Ranking AISTATS 2015
Back to the Past: Source Identification in Diffusion Networks from Partially Observed Cascades AISTATS 2015
Computational Complexity of Linear Large Margin Classification With Ramp Loss AISTATS 2015
Scalable Variational Gaussian Process Classification AISTATS 2015
Estimating the accuracies of multiple classifiers without labeled data AISTATS 2015
Robust Cost Sensitive Support Vector Machine AISTATS 2015
A Bayes consistent 1-NN classifier AISTATS 2015
DART: Dropouts meet Multiple Additive Regression Trees AISTATS 2015
Deeply-Supervised Nets AISTATS 2015
Max-Margin Zero-Shot Learning for Multi-class Classification AISTATS 2015
Conditional Restricted Boltzmann Machines for Multi-label Learning with Incomplete Labels AISTATS 2015
Efficient Training of Structured SVMs via Soft Constraints AISTATS 2015
Reactive bandits with attitude AISTATS 2015
Feature Selection for Linear SVM with Provable Guarantees AISTATS 2015
Non-Uniform Stochastic Average Gradient Method for Training Conditional Random Fields AISTATS 2015
Falling Rule Lists AISTATS 2015
Understanding and Evaluating Sparse Linear Discriminant Analysis AISTATS 2015