conftrace_
← Core Methods
Machine Learning › Core Methods ›

Classification

15,805 papers

Papers per year

2
26
134
262
1678
1390
'00
'05
'10
'15
'20
'25

Papers

Agnostic Selective Classification NIPS 2011
A Collaborative Mechanism for Crowdsourcing Prediction Problems NIPS 2011
Optimal learning rates for least squares SVMs using Gaussian kernels NIPS 2011
A More Powerful Two-Sample Test in High Dimensions using Random Projection NIPS 2011
ShareBoost: Efficient multiclass learning with feature sharing NIPS 2011
Fast and Balanced: Efficient Label Tree Learning for Large Scale Object Recognition NIPS 2011
Beating SGD: Learning SVMs in Sublinear Time NIPS 2011
Matrix Completion for Multi-label Image Classification NIPS 2011
Similarity-based Learning via Data Driven Embeddings NIPS 2011
Maximum Margin Multi-Label Structured Prediction NIPS 2011
Active Ranking using Pairwise Comparisons NIPS 2011
Projection onto A Nonnegative Max-Heap NIPS 2011
Object Detection with Grammar Models NIPS 2011
Inductive reasoning about chimeric creatures NIPS 2011
An Exact Algorithm for F-Measure Maximization NIPS 2011
Learning in Hilbert vs. Banach Spaces: A Measure Embedding Viewpoint NIPS 2011
Robust Multi-Class Gaussian Process Classification NIPS 2011
Active Learning Ranking from Pairwise Preferences with Almost Optimal Query Complexity NIPS 2011
From Stochastic Nonlinear Integrate-and-Fire to Generalized Linear Models NIPS 2011
The Fast Convergence of Boosting NIPS 2011
See the Tree Through the Lines: The Shazoo Algorithm NIPS 2011
Boosting with Maximum Adaptive Sampling NIPS 2011
Structured Learning for Cell Tracking NIPS 2011
Selecting the State-Representation in Reinforcement Learning NIPS 2011
Semantic Labeling of 3D Point Clouds for Indoor Scenes NIPS 2011