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Mathematical optimization / Operations research / Expectation–maximization algorithm / Support vector machine / Hierarchical clustering / K-means clustering / Multi-label classification / Artificial neuron / Datapoint / Statistics / Machine learning / Neural networks


Multi-View Hierarchical Semi-supervised Learning by Optimal Assignment of Sets of Labels to Instances Bhavana Dalvi William W. Cohen
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Document Date: 2014-07-28 11:20:49


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File Size: 456,46 KB

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SUMSCORE / /

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Computer Science Carnegie Mellon University / /

IndustryTerm

deep belief networks / restricted deep belief networks / belief network / Web document classification / hierarchical learning such post-processing / dot product / classification em algorithm / closed form solution / co-training algorithm / web using unsupervised information extraction / linear programming solution / learning algorithm / /

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School of Computer Science Carnegie Mellon University Pittsburgh / idf / SEMI / Instances Bhavana Dalvi William W. Cohen School of Computer Science Carnegie Mellon University Pittsburgh / /

Person

J. Betteridge / E. R. Hruschka / Jr. / T. M. Mitchell / K. Palaniappan / A. Carlson / David R. Hardoon / SEMI-SUPERVISED LEARNING / X. Wu / Mitchell / Cora WebKB / G. Nicolas Usunier / T. Tom Diethe / R. C. Wang / Reza Amini / Blum / /

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author / /

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Pentax K-x Digital Camera / /

ProgrammingLanguage

MATLAB / HTML / /

ProvinceOrState

Pennsylvania / Nova Scotia / /

Technology

learning algorithm / existing algorithm / K-Means algorithm / hard-EM algorithm / Natural Language Processing / 1 Semi-supervised Multi-View K-Means Algorithm / semi-supervised spherical KMeans algorithm / machine translation / multi-view spherical K-Means algorithm / multi-view SSL algorithms / co-training algorithm / classification em algorithm / Machine learning / generic semi-supervised multi-view KMeans algorithm / HTML / SSL / EM algorithm / spherical K-Means algorithm / spherical KMeans algorithm / multi-view K-Means algorithm / /

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