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Classification

15,805 papers

Papers per year

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26
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Papers

QBoost: Large Scale Classifier Training withAdiabatic Quantum Optimization ACML 2012
Improved Sequence Classification Using Adaptive Segmental Sequence Alignment ACML 2012
Learning From Ordered Sets and Applications in Collaborative Ranking ACML 2012
Multi-Stage Classifier Design ACML 2012
Conditional Validity of Inductive Conformal Predictors ACML 2012
Spatial Locality-Aware Sparse Coding and Dictionary Learning ACML 2012
Practical Large Scale Classification with Additive Kernels ACML 2012
Scalable Personalization of Long-Term Physiological Monitoring: Active Learning Methodologies for Epileptic Seizure Onset Detection AISTATS 2012
CorrLog: Correlated Logistic Models for Joint Prediction of Multiple Labels AISTATS 2012
Structured Sparse Canonical Correlation Analysis AISTATS 2012
Classifier Cascade for Minimizing Feature Evaluation Cost AISTATS 2012
Fast, Exact Model Selection and Permutation Testing for l2-Regularized Logistic Regression AISTATS 2012
Protocols for Learning Classifiers on Distributed Data AISTATS 2012
There’s a Hole in My Data Space: Piecewise Predictors for Heterogeneous Learning Problems AISTATS 2012
A metric learning perspective of SVM: on the relation of LMNN and SVM AISTATS 2012
Error bounds for Kernel Fisher Linear Discriminant in Gaussian Hilbert space AISTATS 2012
Copula Network Classifiers (CNCs) AISTATS 2012
UPAL: Unbiased Pool Based Active Learning AISTATS 2012
Maximum Margin Temporal Clustering AISTATS 2012
A Stick-Breaking Likelihood for Categorical Data Analysis with Latent Gaussian Models AISTATS 2012
Bayesian Classifier Combination AISTATS 2012
Bayesian Comparison of Machine Learning Algorithms on Single and Multiple Datasets AISTATS 2012
A Simple Geometric Interpretation of SVM using Stochastic Adversaries AISTATS 2012
Movement Segmentation and Recognition for Imitation Learning AISTATS 2012
Max-Margin Min-Entropy Models AISTATS 2012