Boosting

Results: 1375



#Item
861AdaBoost / Confidence interval / Boosting / Variance / Random subspace method / Statistics / Ensemble learning / Random forest

1 RANDOM FORESTS Leo Breiman Statistics Department

Add to Reading List

Source URL: www.stat.berkeley.edu

Language: English - Date: 2001-12-12 14:25:29
862Statistical classification / Linear classifier / Classifier / Ensemble learning / Part-of-speech tagging / Multinomial logit / Random subspace method / Boosting methods for object categorization / Statistics / Machine learning / Artificial intelligence

Named Entity Recognition through Classifier Combination Radu Florian and Abe Ittycheriah and Hongyan Jing and Tong Zhang IBM T.J. Watson Research Center 1101 Kitchawan Rd, Yorktown Heights, NY 10598, USA {raduf,abei,hjin

Add to Reading List

Source URL: www.cnts.ua.ac.be

Language: English - Date: 2003-06-04 15:50:31
863Social programs / Employment / Labor economics / Unemployment / Social protection / Underemployment / Employability / International Labour Organization / Labour economics / Human resource management / Socioeconomics / Economics

G20 LABOUR AND EMPLOYMENT MINISTERIAL DECLARATION MELBOURNE, 10-11 SEPTEMBER 2014 Preventing structural unemployment, creating better jobs and boosting participation Introduction 1. We, the Ministers of Labour and Employ

Add to Reading List

Source URL: www.mofa.go.jp

Language: English - Date: 2014-11-17 03:05:45
864Machine learning / Parts of speech / Classifier / Caltech 101 / Support vector machine / One-shot learning / Linear classifier / Boosting methods for object categorization / Statistics / Statistical classification / Artificial intelligence

Acquiring Visual Classifiers from Human Imagination arXiv:1410.4627v1 [cs.CV] 17 Oct 2014 Carl Vondrick, Hamed Pirsiavash, Aude Oliva, Antonio Torralba Massachusetts Institute of Technology

Add to Reading List

Source URL: arxiv.org

Language: English - Date: 2014-10-19 20:28:33
865Anomaly detection / Data mining / Data security / Statistical classification / Linear classifier / Segmentation / Boosting methods for object categorization / Statistics / Image processing / Artificial intelligence

LSDA: Large Scale Detection through Adaptation arXiv:1407.5035v3 [cs.CV] 1 Nov 2014 Judy Hoffman , Sergio Guadarrama , Eric Tzeng , Ronghang Hu∇ , Jeff Donahue , 

Add to Reading List

Source URL: arxiv.org

Language: English - Date: 2014-11-03 20:37:29
866Transport / Technology / Segway Inc. / Segway PT / Segway

Case Study Boosting The Law Enforcement Presence At The LAC-USC Medical Center Complex Public Safety Los Angeles County Police

Add to Reading List

Source URL: www.segway.com

Language: English - Date: 2013-08-22 16:07:06
867European Union / Euro / Ukraine / Economy of Ukraine / Yulia Tymoshenko Bloc / Europe / Economy of the European Union / European Investment Bank

European Commission - Statement Statement by President Juncker ahead of the European Council on[removed]December: Boosting Investment to create Jobs and Growth Strasbourg, 17 December 2014 Two elements stand out when we l

Add to Reading List

Source URL: europa.eu

Language: English
868Classifier / Statistical classification / Statistics / Boosting methods for object categorization / Artificial intelligence / Parts of speech / Machine learning

PlaceAvoider: Steering First-Person Cameras away from Sensitive Spaces Robert Templeman,†‡ Mohammed Korayem,† David Crandall,† Apu Kapadia† † School of Informatics and Computing

Add to Reading List

Source URL: www.cs.indiana.edu

Language: English - Date: 2013-12-05 16:53:15
869Keystone Oaks School District / Education in Pennsylvania / Pennsylvania / Waynesboro Area School District

Boosting Opportunities for Students with a $2.3 Billion Investment Governor Jay Inslee proposes a multi-dimensional education package to invest in the success of learners from preschool to college. His priorities also in

Add to Reading List

Source URL: governor.wa.gov

Language: English - Date: 2014-12-15 20:53:50
870Social programs / Employment / Labor economics / Unemployment / Social protection / Underemployment / Employability / International Labour Organization / Labour economics / Human resource management / Socioeconomics / Economics

G20 LABOUR AND EMPLOYMENT MINISTERIAL DECLARATION MELBOURNE, 10-11 SEPTEMBER 2014 Preventing structural unemployment, creating better jobs and boosting participation Introduction 1. We, the Ministers of Labour and Employ

Add to Reading List

Source URL: www.g20.utoronto.ca

Language: English - Date: 2014-09-11 11:38:56
UPDATE