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searching for Michael I. Jordan 9 found (60 total)

Probabilistic latent semantic analysis (853 words) [view diff] exact match in snippet view article find links to article

2013.6701702. ISBN 978-147993163-7. Blei, David M.; Andrew Y. Ng; Michael I. Jordan (2003). "Latent Dirichlet Allocation" (PDF). Journal of Machine Learning

Markov chain Monte Carlo (3,126 words) [view diff] exact match in snippet view article find links to article

[stat.ML]. Christophe Andrieu, Nando De Freitas, Arnaud Doucet and Michael I. Jordan An Introduction to MCMC for Machine Learning, 2003 Asmussen, Søren;

Named-entity recognition (2,841 words) [view diff] no match in snippet view article find links to article

a Wikification system: <ENTITY url="https://en.wikipedia.org/wiki/Michael_I._Jordan"> Michael Jordan </ENTITY> is a professor at <ENTITY url="https://en

Principal component analysis (14,373 words) [view diff] exact match in snippet view article find links to article

and SPCA." Advances in Neural Information Processing Systems. Ed. Michael I. Jordan, Michael J. Kearns, and Sara A. Solla The MIT Press, 1998. Geladi

Multiple kernel learning (2,856 words) [view diff] exact match in snippet view article find links to article

Bioinformatics 2010, 11:309 Francis R. Bach, Gert R. G. Lanckriet, and Michael I. Jordan. 2004. Multiple kernel learning, conic duality, and the SMO algorithm

Sparse PCA (2,244 words) [view diff] exact match in snippet view article find links to article

1080/10618600.2023.2256502. Alexandre d’Aspremont; Laurent El Ghaoui; Michael I. Jordan; Gert R. G. Lanckriet (2007). "A Direct Formulation for Sparse PCA

List of datasets for machine-learning research (14,568 words) [view diff] exact match in snippet view article find links to article

1469-1809.1936.tb02137.x. hdl:2440/15227. Ghahramani, Zoubin, and Michael I. Jordan. "Supervised learning from incomplete data via an EM approach Archived

Forward algorithm (2,839 words) [view diff] exact match in snippet view article find links to article

of this and related topics Smyth, Padhraic, David Heckerman, and Michael I. Jordan. "Probabilistic independence networks for hidden Markov probability

Low-rank matrix approximations (2,868 words) [view diff] exact match in snippet view article find links to article

SVMs (and other feature extraction methods). Francis R. Bach and Michael I. Jordan (2005). "Predictive low-rank decomposition for kernel methods". ICML