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Least squares / Machine learning / Supervised learning / Support vector machine / Recursive least squares filter / Matrix / Information bottleneck method / Shape context / Statistics / Regression analysis / Statistical classification


Document Date: 2011-02-01 06:49:47

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City

Berlin / Espoo / Cambridge / London / New York / /

Company

Otamedia Oy / Neural Information Processing Systems / MIT Press / Kendall / ACM Press / Tekes / CSC / /

Country

Germany / United States / Finland / /

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Facility

Information Technology University of Turku Joukahaisenkatu / Institute of Electrical Engineers / /

IndustryTerm

search engines using clickthrough data / web documents / web search example / classification algorithm / web search task / grid search / document retrieval systems / preference learning algorithm / rank learning algorithms / least-squares regression solution / web-search results / learning algorithm / /

MarketIndex

set 1100 / /

Organization

Institute of Electrical Engineers / Pairwise Regularized Least-Squares Tapio Pahikkala Evgeni Tsivtsivadze Jorma Boberg Tapio Salakoski Antti Airola Turku Centre for Computer Science / Information Technology University of Turku Joukahaisenkatu / American Mathematical Society / MIT / Finnish Funding Agency for Technology and Innovation / /

Person

T . Unless / Evgeni Tsivtsivadze Jorma Boberg Tapio / /

Position

rT / representative / /

ProvinceOrState

New York / Massachusetts / /

PublishedMedium

Notices of the American Mathematical Society / Machine Learning / Lecture Notes in Computer Science / /

Technology

rank learning algorithms / preference learning algorithm / learning algorithm / Bioinformatics / artificial intelligence / SVM algorithms / Information Technology / ranking algorithms / RankRLS algorithm / RankBoost algorithms / Data Mining / machine learning / three ranking algorithms / classification algorithm / two algorithms / ranking algorithm / /

URL

http /

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