Co-occurring keywords · papers mentioning both
Papers
Doubly Aggressive Selective Sampling Algorithms for Classification
AISTATS 2014
EnsembleSVM: A Library for Ensemble Learning Using Support Vector Machines
JMLR 2014
Global Optimization Methods for Extended Fisher Discriminant Analysis
AISTATS 2014
Large-Margin Convex Polytope Machine
NeurIPS 2014
Learning Multiple Tasks in Parallel with a Shared Annotator
NeurIPS 2014
Margins, Kernels and Non-linear Smoothed Perceptrons
ICML 2014
Optimizing Average Precision using Weakly Supervised Data
CVPR 2014
Optimizing F-Measures by Cost-Sensitive Classification
NeurIPS 2014
Random Intersection Trees
JMLR 2014
Ranking via Robust Binary Classification
NeurIPS 2014
Reduction from Cost-Sensitive Multiclass Classification to One-versus-One Binary Classification
ACML 2014
Reputation-based Worker Filtering in Crowdsourcing
NeurIPS 2014
Robust Logistic Regression and Classification
NeurIPS 2014
The Coherent Loss Function for Classification
ICML 2014
A Binary-Classification-Based Metric between Time-Series Distributions and Its Use in Statistical and Learning Problems
JMLR 2013
Algorithms for Direct 0–1 Loss Optimization in Binary Classification
ICML 2013
Auditing: Active Learning with Outcome-Dependent Query Costs
NeurIPS 2013
Conjugate Relation between Loss Functions and Uncertainty Sets in Classification Problems
JMLR 2013
Learning Kernels Using Local Rademacher Complexity
NeurIPS 2013
Learning with Noisy Labels
NeurIPS 2013
On the Relationship Between Binary Classification, Bipartite Ranking, and Binary Class Probability Estimation
NeurIPS 2013
On the Statistical Consistency of Algorithms for Binary Classification under Class Imbalance
ICML 2013
Random Spanning Trees and the Prediction of Weighted Graphs
JMLR 2013
Robust Bloom Filters for Large MultiLabel Classification Tasks
NeurIPS 2013
A Conjugate Property between Loss Functions and Uncertainty Sets in Classification Problems
COLT 2012