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Burges et al., 2006 - Google Patents

Semi-Supervised Learning with Conditional Harmonic Mixing.

Burges et al., 2006

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Document ID
8204196612672608297
Author
Burges C
Platt J
Publication year
Publication venue
Semi-supervised learning

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Snippet

Recently graph-based algorithms, in which nodes represent data points and links encode similarities, have become popular for semi-supervised learning. In this chapter we introduce a general probabilistic formulation called 'Conditional Harmonic Mixing', in which the links …
Continue reading at www.researchgate.net (PDF) (other versions)

Classifications

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    • G06F17/30705—Clustering or classification
    • G06F17/3071—Clustering or classification including class or cluster creation or modification
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
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