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Classification

15289 directly classified papers

Papers per year

Papers

Random Spanning Trees and the Prediction of Weighted Graphs JMLR 2013
BudgetedSVM: A Toolbox for Scalable SVM Approximations JMLR 2013
Linear decision rule as aspiration for simple decision heuristics NIPS 2013
Learning Stochastic Feedforward Neural Networks NIPS 2013
Sparse Overlapping Sets Lasso for Multitask Learning and its Application to fMRI Analysis NIPS 2013
Learning Kernels Using Local Rademacher Complexity NIPS 2013
Learning Adaptive Value of Information for Structured Prediction NIPS 2013
Understanding variable importances in forests of randomized trees NIPS 2013
Structured Learning via Logistic Regression NIPS 2013
Visual Concept Learning: Combining Machine Vision and Bayesian Generalization on Concept Hierarchies NIPS 2013
Rapid Distance-Based Outlier Detection via Sampling NIPS 2013
On Flat versus Hierarchical Classification in Large-Scale Taxonomies NIPS 2013
A Latent Source Model for Nonparametric Time Series Classification NIPS 2013
Convex Calibrated Surrogates for Low-Rank Loss Matrices with Applications to Subset Ranking Losses NIPS 2013
Scalable kernels for graphs with continuous attributes NIPS 2013
Discriminative Transfer Learning with Tree-based Priors NIPS 2013
Learning Multiple Models via Regularized Weighting NIPS 2013
Heterogeneous-Neighborhood-based Multi-Task Local Learning Algorithms NIPS 2013
Correlated random features for fast semi-supervised learning NIPS 2013
Direct 0-1 Loss Minimization and Margin Maximization with Boosting NIPS 2013
Real-Time Inference for a Gamma Process Model of Neural Spiking NIPS 2013
More data speeds up training time in learning halfspaces over sparse vectors NIPS 2013
A* Lasso for Learning a Sparse Bayesian Network Structure for Continuous Variables NIPS 2013
Near-optimal Anomaly Detection in Graphs using Lovasz Extended Scan Statistic NIPS 2013
q-OCSVM: A q-Quantile Estimator for High-Dimensional Distributions NIPS 2013