A simple squared-error reformulation for ordinal classification

v1v2 (latest)

A simple squared-error reformulation for ordinal classification

2 December 2016

Christopher Beckham

ArXiv (abs)PDF HTML

Papers citing "A simple squared-error reformulation for ordinal classification"

6 / 6 papers shown

Title
Theano: A Python framework for fast computation of mathematical expressions The Theano Development Team Rami Al-Rfou Guillaume Alain Amjad Almahairi Christof Angermüller ... Kelvin Xu Lijun Xue Li Yao Saizheng Zhang Ying Zhang 206 2,340 0 09 May 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 194,510 0 10 Dec 2015
On The Direct Maximization of Quadratic Weighted Kappa David Vaughn D. Justice 38 9 0 23 Sep 2015
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification Kaiming He Xinming Zhang Shaoqing Ren Jian Sun VLM 347 18,654 0 06 Feb 2015
Going Deeper with Convolutions Christian Szegedy Wei Liu Yangqing Jia P. Sermanet Scott E. Reed Dragomir Anguelov D. Erhan Vincent Vanhoucke Andrew Rabinovich 494 43,698 0 17 Sep 2014
A neural network approach to ordinal regression Jianlin Cheng 603 199 0 08 Apr 2007