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An Improved GLMNET for L1-regularized Logistic Regressionjmlr.csail.mit.edu/papers/volume13/yuan12a/yuan12a.pdf · AN IMPROVED GLMNET FOR L1-REGULARIZED LOGISTIC REGRESSION better.

An Improved GLMNET for L1-regularized Logistic Regressionjmlr.csail.mit.edu/papers/volume13/yuan12a/yuan12a.pdf · AN IMPROVED GLMNET FOR L1-REGULARIZED LOGISTIC REGRESSION better.

Regularization Techniques for Learning with Matricesjmlr.csail.mit.edu/papers/volume13/kakade12a/kakade12a.pdf · chine learning problems of recent interest, which use matrix parameters.

Regularization Techniques for Learning with Matricesjmlr.csail.mit.edu/papers/volume13/kakade12a/kakade12a.pdf · chine learning problems of recent interest, which use matrix parameters.

2014 09 etcmagazine volume13 issue10

2014 09 etcmagazine volume13 issue10

Static Prediction Games for Adversarial Learning Problemsjmlr.org › papers › volume13 › brueckner12a › brueckner12a.pdf · 2020-05-22 · STATIC PREDICTION GAMES FOR ADVERSARIAL

Static Prediction Games for Adversarial Learning Problemsjmlr.org › papers › volume13 › brueckner12a › brueckner12a.pdf · 2020-05-22 · STATIC PREDICTION GAMES FOR ADVERSARIAL

Optimal Distributed Online Prediction Using Mini-Batchesjmlr.csail.mit.edu/papers/volume13/dekel12a/dekel12a.pdf · sense, distributed computing is critical for large-scale online

Optimal Distributed Online Prediction Using Mini-Batchesjmlr.csail.mit.edu/papers/volume13/dekel12a/dekel12a.pdf · sense, distributed computing is critical for large-scale online

2014 05 etcmagazine volume13 issue06

2014 05 etcmagazine volume13 issue06

AID FOR FRIENDS AID FOR FRIENDS

AID FOR FRIENDS AID FOR FRIENDS

DoSoftwareFirmsCollaborateorCompete ... · e-InformaticaSoftwareEngineeringJournal,Volume13,Issue1,2019,pages: 37–62, DOI10.5277/e-Inf190102 DoSoftwareFirmsCollaborateorCompete

DoSoftwareFirmsCollaborateorCompete ... · e-InformaticaSoftwareEngineeringJournal,Volume13,Issue1,2019,pages: 37–62, DOI10.5277/e-Inf190102 DoSoftwareFirmsCollaborateorCompete

In Good Company: A Collaborative Autoethnography ...ijds.org/Volume13/IJDSv13p293-311Wolfe4492.pdf · the school year and have flexibility in their timeline for course completion.

In Good Company: A Collaborative Autoethnography ...ijds.org/Volume13/IJDSv13p293-311Wolfe4492.pdf · the school year and have flexibility in their timeline for course completion.

Online Learning in the Embedded Manifold of Low-rank Matricesjmlr.csail.mit.edu/papers/volume13/shalit12a/shalit12a.pdf · online algorithm for learning low-rank matrices. LORETA

Online Learning in the Embedded Manifold of Low-rank Matricesjmlr.csail.mit.edu/papers/volume13/shalit12a/shalit12a.pdf · online algorithm for learning low-rank matrices. LORETA

December’2012’ Volume13|Issue5’ The Pitt Capsulepre.pages.pharmacy.pitt.edu/publications/wp-content/uploads/sites/7/... · December’2012’ Volume13|Issue5’ The Pitt Capsule

December’2012’ Volume13|Issue5’ The Pitt Capsulepre.pages.pharmacy.pitt.edu/publications/wp-content/uploads/sites/7/... · December’2012’ Volume13|Issue5’ The Pitt Capsule

Bounding the Probability of Error for High Precision Optical Character Recognitionjmlr.csail.mit.edu/papers/volume13/huang12a/huang12a.pdf · 2020-04-29 · BOUNDING THE PROBABILITY

Bounding the Probability of Error for High Precision Optical Character Recognitionjmlr.csail.mit.edu/papers/volume13/huang12a/huang12a.pdf · 2020-04-29 · BOUNDING THE PROBABILITY

February2013’ Volume13|Issue7’ The Pitt Capsulepre.pages.pharmacy.pitt.edu/publications/wp-content/uploads/sites/7/2006/10/Pitt... · February2013’ Volume13|Issue7’ The Pitt

February2013’ Volume13|Issue7’ The Pitt Capsulepre.pages.pharmacy.pitt.edu/publications/wp-content/uploads/sites/7/2006/10/Pitt... · February2013’ Volume13|Issue7’ The Pitt

An Active Learning Algorithm for Ranking from Pairwise …jmlr.csail.mit.edu/papers/volume13/ailon12a/ailon12a.pdf · 2020-05-22 · An Active Learning Algorithm for Ranking from

An Active Learning Algorithm for Ranking from Pairwise …jmlr.csail.mit.edu/papers/volume13/ailon12a/ailon12a.pdf · 2020-05-22 · An Active Learning Algorithm for Ranking from

Fall2011•Volume13,IssueOne PARCparc-us-pal.org/newsletters/fall11.pdf · 5 continuedonpage11 orsolidarityactivities.Asaprofessorof anthropology,Iamconcernedwithhow students gain

Fall2011•Volume13,IssueOne PARCparc-us-pal.org/newsletters/fall11.pdf · 5 continuedonpage11 orsolidarityactivities.Asaprofessorof anthropology,Iamconcernedwithhow students gain

A Local Spectral Method for Graphs: With Applications to ...jmlr.csail.mit.edu/papers/volume13/mahoney12a/mahoney12a.pdfA LOCAL SPECTRAL METHOD FOR GRAPHS and our localized analogue

A Local Spectral Method for Graphs: With Applications to ...jmlr.csail.mit.edu/papers/volume13/mahoney12a/mahoney12a.pdfA LOCAL SPECTRAL METHOD FOR GRAPHS and our localized analogue

July, 2018 Volume13, Number 7texaschapteru.org/Newsletters/2018Newsletter/Jul 18... · 2018-07-08 · July, 2018 Volume13, Number 7 ... Chapter Ride Meeting Locations Unless otherwise

July, 2018 Volume13, Number 7texaschapteru.org/Newsletters/2018Newsletter/Jul 18... · 2018-07-08 · July, 2018 Volume13, Number 7 ... Chapter Ride Meeting Locations Unless otherwise

AAAAA Volume13 (INTRAFOR NEWS AAAAAINTRAFOR NEWS AAAAA AAAAA AAAAA Volume13 Number 1 Spring1998 CENTER FOR INTERNATIONAL TRADE IN FOREST PRODUCTS AAAAA ATechnical Assessment of North

AAAAA Volume13 (INTRAFOR NEWS AAAAAINTRAFOR NEWS AAAAA AAAAA AAAAA Volume13 Number 1 Spring1998 CENTER FOR INTERNATIONAL TRADE IN FOREST PRODUCTS AAAAA ATechnical Assessment of North

Exploration in Relational Domains for Model-based ...jmlr.csail.mit.edu › papers › volume13 › lang12a › lang12a.pdf · learner is a relational learning algorithm of noisy

Exploration in Relational Domains for Model-based ...jmlr.csail.mit.edu › papers › volume13 › lang12a › lang12a.pdf · learner is a relational learning algorithm of noisy

2014 01 etcmagazine volume13 issue2

2014 01 etcmagazine volume13 issue2