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Statistical classification / Ensemble learning / Evaluation methods / Research methods / Support vector machine / Qualitative research / Feature selection / Gradient boosting / Statistics / Machine learning / Science


Stacked Generalization Learning to Analyze Teenage Distress
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Document Date: 2015-03-14 18:32:13


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File Size: 2,76 MB

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City

Watt / Shure / New York / Reading / /

Company

Viacom / C1 Co / Common sense / National Academies Press / Garrett / Suzuki / MTV / Ta Ag / C3 s A / /

Country

United States / /

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Event

Business Partnership / /

Facility

Harvard University / /

IndustryTerm

online support / teen support network / online space / treatment for depression / time using digital technologies / real-time applications / lieber@media.mit.edu / adolescent internet use / Internet Time / Web Workshop / self-selected / Internet looking / social media / online and offline lives / karthik@media.mit.edu / online community supporting adolescents / neural information processing systems / internet treatment trial / digital media / internet-based self-help / basic machinery / online teen bulletin boards / social networks / cyclic dependency network / internet users / social network / internet age / real-time systems / online community / /

Organization

Harvard University / O. School / Pew Research Center / idf / Association for the Advancement / Massachusetts Institute of Technology / US Federal Reserve / Artificial Copyright Intelligence / North American Chapter / Association for Computational Linguistics / /

Person

Henry Lieberman Robert Selman / Michel / V / Liebling / /

Position

Psychologist / D. J. / study representative / researcher / Singer / Reading Teacher / /

Product

C4 / /

ProgrammingLanguage

C / /

ProvinceOrState

N. F. / M. B. / /

PublishedMedium

Computational Linguistics / Journal of Machine Learning Research / /

Technology

Remote Sensing / machine learning / Natural Language Processing / weinstein@mail.harvard.edu Henry Lieberman Robert Selman Massachusetts Institute of Technology / time using digital technologies / /

URL

www.aaai.org / /

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