Knowledge Discovery from Citation Networks
A Bernoulli Process Topic (BPT) model that enables knowledge discovery from citation networks to improve data mining tasks
Background:
Knowledge discovery from citation networks (i.e., textual data with links such as scientific articles, legal documents, webpages, and emails) provides insight into vast areas since huge repositories are made available...
Published: 4/18/2024
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Inventor(s): Zhongfei Zhang, Zhen Guo
Keywords(s): #SUNYresearch, Technologies
Category(s): Technology Classifications > Computers, Campus > Binghamton University
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Semi-supervised Learning Based on Semiparametric Regularization
Semiparametric regularization based approach allows a family of algorithms to be developed based on various choices of the original RKHS and the loss function
Technology Overview:
Labeled data are often expensive to obtain since they require the efforts of experienced experts. Meanwhile, the unlabeled data are relatively easy to collect. Semiparametric...
Published: 4/18/2024
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Inventor(s): Zhongfei Zhang, Guo Zhen
Keywords(s): #SUNYresearch, Technologies
Category(s): Technology Classifications > Computers, Technology Classifications > Information Technology, Campus > Binghamton University
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Enhanced Max Margin Learning on Multimodal Data Mining in a Multimedia Database
An Enhanced Max Margin Learning (EMML) framework that is much more efficient in learning with a much faster convergence rate, verified in empirical evaluations
Background:
The problem of multimodal data mining in a multimedia database can be addressed as a structured prediction problem where we learn the mapping from an input to the structured...
Published: 4/18/2024
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Inventor(s): Zhen Guo, Zhongfei Zhang
Keywords(s): #SUNYresearch, Technologies
Category(s): Technology Classifications > Computers, Campus > Binghamton University
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