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Classification

15,289 papers

Papers per year

Papers

Learning Tractable Multidimensional Bayesian Network Classifiers PGM 2016
Multi-Label Classification with Cutset Networks PGM 2016
Student Skill Models in Adaptive Testing PGM 2016
On Construction of Hybrid Logistic Regression-Naïve Bayes Model for Classification PGM 2016
Shape-Based Compliance in Locomotion RSS 2016
A Cartesian 6-DoF Gaze Controller for Humanoid Robots RSS 2016
Understanding Hand-Object Manipulation with Grasp Types and Object Attributes RSS 2016
Top-k Multiclass SVM NIPS 2015
Semi-Supervised Factored Logistic Regression for High-Dimensional Neuroimaging Data NIPS 2015
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks NIPS 2015
Efficient Non-greedy Optimization of Decision Trees NIPS 2015
Fast Classification Rates for High-dimensional Gaussian Generative Models NIPS 2015
Fast and Accurate Inference of Plackett–Luce Models NIPS 2015
Precision-Recall-Gain Curves: PR Analysis Done Right NIPS 2015
Sparse Local Embeddings for Extreme Multi-label Classification NIPS 2015
The Self-Normalized Estimator for Counterfactual Learning NIPS 2015
Multi-class SVMs: From Tighter Data-Dependent Generalization Bounds to Novel Algorithms NIPS 2015
Learning with Symmetric Label Noise: The Importance of Being Unhinged NIPS 2015
On the Accuracy of Self-Normalized Log-Linear Models NIPS 2015
Robust Feature-Sample Linear Discriminant Analysis for Brain Disorders Diagnosis NIPS 2015
Calibrated Structured Prediction NIPS 2015
GAP Safe screening rules for sparse multi-task and multi-class models NIPS 2015
Predtron: A Family of Online Algorithms for General Prediction Problems NIPS 2015
Non-convex Statistical Optimization for Sparse Tensor Graphical Model NIPS 2015
Large-Scale Bayesian Multi-Label Learning via Topic-Based Label Embeddings NIPS 2015