Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/66746
Type: Conference paper
Title: Hash kernels
Author: Shi, Q.
Petterson, J.
Dror, G.
Langford, J.
Smola, A.
Strehl, A.
Vishwanathan, S.
Citation: Proceedings of the 12th International Conference on Artificial Intelligence and Statistics (AISTATS) 2009, JMLR: W&CP 5, vol. 5: 496-503
Publisher: JMLR
Publisher Place: Online
Issue Date: 2009
ISSN: 1532-4435
1533-7928
Conference Name: International Conference on Artificial Intelligence and Statistics (12th : 2009 : Clearwater Beach, Florida, USA)
Editor: Dyk, D.
Welling, M.
Statement of
Responsibility: 
Qinfeng Shi, James Petterson, Gideon Dror, John Langford, Alex Smola, Alex Strehl and Vishy Vishwanathan
Abstract: We propose hashing to facilitate efficient kernels. This generalizes previous work using sampling and we show a principled way to compute the kernel matrix for data streams and sparse feature spaces. Moreover, we give deviation bounds from the exact kernel matrix. This has applications to estimation on strings and graphs.
Rights: Copyright 2009 by the authors
Published version: http://jmlr.csail.mit.edu/proceedings/papers/v5/
Appears in Collections:Aurora harvest 5
Computer Science publications

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