A Family of Simple Non-Parametric Kernel Learning Algorithms from Pairwise Constraints

A Family of Simple Non-Parametric Kernel Learning Algorithms from Pairwise Constraints

Previous studies of Non-Parametric Kernel Learning (NPKL) usually formulate the learning task as a Semi-Definite Programming (SDP) problem that is often solved by some general purpose SDP solvers. However, for N data examples, the time complexity of NPKL using a standard interior-point SDP solver co...

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Bibliographic Details
Main Authors: ZHUANG, Jinfeng, TSANG, Ivor W., HOI, Steven C. H.
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2011
Subjects:
non-parametric kernel learning
pairwise constraints
semi-definite programming
semi-supervised learning
side information
Computer Sciences
Databases and Information Systems
Theory and Algorithms
Online Access:https://ink.library.smu.edu.sg/sis_research/2289
https://ink.library.smu.edu.sg/context/sis_research/article/3289/viewcontent/A_Family_of_Simple_Non_Parametric_Kernel_Learning_Algorithms_from_Pairwise_Constraints.pdf
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Institution: Singapore Management University
Language: English

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