Back to Results
First PageMeta Content
Support vector machine / Gain / Biology / Science / Information / Protein domain / Protein structure / Ensemble learning


Multi-Domain Learning: When Do Domains Matter? Mark Dredze Mahesh Joshi School of Computer Science Human Language Technology Center of Excellence Johns Hopkins University Carnegie Mellon University
Add to Reading List

Document Date: 2012-06-18 14:25:32

Open Document

File Size: 187,03 KB

Share Result on Facebook

Company

Amazon / /

/

Facility

Computer Science Carnegie Mellon University / Computer Science Human Language Technology Center of Excellence Johns Hopkins University Carnegie Mellon University Baltimore / /

IndustryTerm

Feature processing / logistic regression algorithms / statistical natural language processing / grid search / ensemble learning algorithms / machine learning algorithms / online multi-task learning / ensemble learning algorithm / real world applications / electronics / classification algorithms / online algorithm / multidomain learning algorithms / online framework / insights into new algorithms / cross-product / learning algorithm / /

Organization

office of Naval Research / United States Congress / SVM LR / School of Computer Science Carnegie Mellon University Pittsburgh / PA PA / Center of Excellence Johns Hopkins University Carnegie Mellon University Baltimore / ILL SVM / Mark Dredze Mahesh Joshi School / /

Person

Mansour / Mark Dredze Mahesh / Carolyn P. Ros / /

/

Position

speaker / datasets representative / model any relationship / representative / /

Product

L2 / MDL / /

ProvinceOrState

Illinois / /

RadioStation

PA AM / /

Technology

learning algorithm / online algorithm / machine learning algorithms / natural language processing / underlying algorithm / existing ensemble learning algorithms / two classification algorithms / ensemble learning algorithms / DOM / logistic regression algorithms / existing ensemble learning algorithm / html / multidomain learning algorithms / /

URL

http /

SocialTag