Sparse Online Learning via Truncated Gradient John Langford Yahoo! Research

Source URL: hunch.net

• Machine learning
• Computational statistics
• Convex optimization
• Mathematical optimization
• Statistical classification
• Support vector machine
• Stochastic gradient descent
• Lasso
• Vowpal Wabbit
• Least squares
• Artificial neural network
• Gradient descent

Sparse Overlapping Sets Lasso for Multitask Learning and its Application to fMRI Analysis arXiv:1311.5422v2 [cs.LG] 22 NovNikhil S. Rao†

Source URL: nowak.ece.wisc.edu

Power of TLT test build from lasso statistics Stéphane Mourareau 1 , Jean-Marc Azaïs 1 & Yohan de Castro 2 1 Institut de Mathématiques de Toulouse (IMT), Université Paul Sabatier, Toulouse. 2

Source URL: papersjds15.sfds.asso.fr

´lection de variables par le GLM-Lasso pour la Se ´diction du risque palustre. pre Bienvenue Kouway`e 1,2 , No¨el Fonton

Source URL: papersjds15.sfds.asso.fr

(Reprinted with permission from July 29, 2009: http://www.news.ucdavis.edu/search/news_detail.lasso?id=Fish Doc Cares for Watery Clientele July 29, 2009 If a combined sequel of the films “Doctor Dolittle” and

Source URL: www.camelliakoi.org

´nalite ´ fused lasso pour une Modeles mixtes et pe comparaison de groupes Edouard Ollier

Source URL: papersjds15.sfds.asso.fr

Guillermo Lasso Guillermo Lasso (Guayaquil-Ecuador, 1955) es candidato a la Presidencia de la República por el movimiento CREO. Es uno de los emprendedores más respetados del Ecuador. En mayo del 2012 renunció a la pr

Source URL: guillermolasso.ec

Efficiently mapping phenotypes to networks of genetic loci Chlo´ e-Agathe Azencott1, Dominik Grimm1, Yoshinobu Kawahara 2 and Karsten Borgwardt1,3 1Machine Learning and Computational Biology Research Group, Max Planck I

Source URL: cazencott.info

• Genetic epidemiology
• Genome-wide association study
• Population genetics
• Single-nucleotide polymorphism
• Lasso
• Biology
• Genetics
• Genetic genealogy

Homework Assignment 1 The purpose of this homework is to apply linear regression on a real data set. We will consider three ways of improving prediction accuracy: feature selection, ridge regression and the lasso. We wil

Source URL: www.timvanerven.nl

• Model selection
• Econometrics
• Data analysis
• Cross-validation
• Training set
• Linear regression
• Least squares
• Lasso
• Test set
• Statistics
• Machine learning
• Regression analysis

Pathway Graphical Lasso Maxim Grechkin Maryam Fazel Daniela Witten

Source URL: homes.cs.washington.edu