Co-occurring keywords · papers mentioning both
Papers
To Tune or Not to Tune the Number of Trees in Random Forest
JMLR 2018
Minimax Gaussian Classification & Clustering
AISTATS 2017
A Framework for Automated Marmoset Vocalization Detection and Classification
Interspeech 2016
Supervised Learning with Tensor Networks
NeurIPS 2016
Computational Complexity of Linear Large Margin Classification With Ramp Loss
AISTATS 2015
Fast Classification Rates for High-dimensional Gaussian Generative Models
NeurIPS 2015
Understanding Classifier Errors by Examining Influential Neighbors
CVPR 2015
Multivariate f-divergence Estimation With Confidence
NeurIPS 2014
Adaptive dropout for training deep neural networks
NeurIPS 2013
Direct 0-1 Loss Minimization and Margin Maximization with Boosting
NeurIPS 2013
Error bounds for Kernel Fisher Linear Discriminant in Gaussian Hilbert space
AISTATS 2012
Learning Halfspaces with the Zero-One Loss: Time-Accuracy Tradeoffs
NeurIPS 2012
An Error Bound Based on a Worst Likely Assignment
JMLR 2008
Bounds for the Loss in Probability of Correct Classification Under Model Based Approximation
JMLR 2006
Pattern Recognition for Conditionally Independent Data
JMLR 2006
Statistical Analysis of Some Multi-Category Large Margin Classification Methods
JMLR 2004