Loss functions for classification - PDFSEARCH.IO - Document Search Engine

Loss functions for classification
Results: 13

#	Item
1	Large-margin Structured Learning for Link Ranking Stephen H. Bach Bert Huang Lise Getoor Department of Computer Science University of Maryland College Park, MD 20742 Add to Reading List Source URL: stephenbach.net Language: English - Date: 2013-11-15 12:01:19 Machine learning Statistics Learning Regression analysis Structured prediction Support vector machines Statistical classification Ordinal regression Loss function Mathematical optimization Convex optimization Loss functions for classification
2	Large-margin Structured Learning for Link Ranking Stephen H. Bach Bert Huang Lise Getoor Department of Computer Science University of Maryland College Park, MD 20742 Add to Reading List Source URL: psl.umiacs.umd.edu Language: English - Date: 2013-11-15 11:47:48 Regression analysis Structured prediction Support vector machines Statistical classification Machine learning Ordinal regression Loss function Mathematical optimization Hinge loss Loss functions for classification
3	Randomized Smoothing Techniques in Optimization Add to Reading List Source URL: stanford.edu Language: English - Date: 2014-10-16 22:22:19 Mathematical optimization Gradient descent Convex function Convex optimization Loss functions for classification
4	Adaptive Subgradient Methods Adaptive Subgradient Methods for Online Learning and Stochastic Optimization∗ John Duchi Add to Reading List Source URL: stanford.edu Language: English - Date: 2014-09-05 13:17:02 Convex optimization Mathematical optimization Stochastic optimization Machine learning Gradient descent Subgradient method Stochastic gradient descent Proximal gradient methods for learning Perceptron BroydenFletcherGoldfarbShanno algorithm Online machine learning Loss functions for classification
5	Composite Loss Functions and Multivariate Regression; Sparse PCA G. Obozinski, B. Taskar, and M. I. JordanJoint covariate selection and joint subspace selection for multiple classification problems. Statistics a Add to Reading List Source URL: mlg.eng.cam.ac.uk Language: English - Date: 2009-09-09 20:54:06
6	LOSS FUNCTIONS FOR BINARY CLASSIFICATION AND CLASS PROBABILITY ESTIMATION YI SHEN A DISSERTATION Add to Reading List Source URL: stat.wharton.upenn.edu Language: English - Date: 2005-10-15 23:54:08 Regression analysis Loss function Statistical theory Scoring rule Linear regression Ordinal number Constructible universe Statistics Econometrics Decision theory
7	Loss Functions for Binary Class Probability Estimation and Classification: Structure and Applications Andreas Buja 1 Add to Reading List Source URL: stat.wharton.upenn.edu Language: English - Date: 2005-11-03 13:35:44 Regression analysis Statistical models Econometrics Scoring rule Kullback–Leibler divergence Generalized linear model Bregman divergence Loss function Divergence Statistics Decision theory Statistical theory
8	NICTA ANU SUMMER SCHOLARS PROJECTS – [removed]TITLE Design for Wireless Human Body Area Communications Power control games for wireless ad-hoc network communications Comparison of Classification-Based Loss Functions Mul Add to Reading List Source URL: www.nicta.com.au Language: English - Date: 2015-02-09 05:28:13 Cybernetics Learning Machine learning Boolean satisfiability problem Theoretical computer science Applied mathematics Mathematics
9	Optimisation of Robust Loss Functions for Weakly-Labelled Image Taxonomies Julian McAuley ANU Stanford Add to Reading List Source URL: cseweb.ucsd.edu Language: English - Date: 2014-07-10 21:47:06 Machine learning Parts of speech Knowledge representation WordNet Word-sense disambiguation Classifier Statistical classification Australian National University Linguistics Computational linguistics Science
10	Optimization of Robust Loss Functions for Weakly-Labeled Image Taxonomies: An ImageNet Case Study Julian J. McAuley1 , Arnau Ramisa2 , and Tib´erio S. Caetano1 1 Add to Reading List Source URL: cseweb.ucsd.edu Language: English - Date: 2014-07-10 21:47:00 Support vector machine Linear classifier Function Loss function Structured SVM Statistics Statistical classification Machine learning