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Lawrence K Saul
Lawrence K Saul
Senior Research Scientist, Center for Computational Mathematics, Flatiron Institute
Bestätigte E-Mail-Adresse bei flatironinstitute.org - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Nonlinear dimensionality reduction by locally linear embedding
ST Roweis, LK Saul
science 290 (5500), 2323-2326, 2000
174482000
An introduction to variational methods for graphical models
MI Jordan, Z Ghahramani, TS Jaakkola, LK Saul
Machine learning 37, 183-233, 1999
48411999
Distance metric learning for large margin nearest neighbor classification.
KQ Weinberger, LK Saul
Journal of machine learning research 10 (2), 2009
43612009
Distance metric learning for large margin nearest neighbor classification
KQ Weinberger, J Blitzer, L Saul
Advances in neural information processing systems 18, 2005
23802005
Think globally, fit locally: unsupervised learning of low dimensional manifolds
LK Saul, ST Roweis
Journal of machine learning research 4 (Jun), 119-155, 2003
21262003
Unsupervised learning of image manifolds by semidefinite programming
KQ Weinberger, LK Saul
International journal of computer vision 70, 77-90, 2006
11742006
Beyond blacklists: learning to detect malicious web sites from suspicious URLs
J Ma, LK Saul, S Savage, GM Voelker
Proceedings of the 15th ACM SIGKDD international conference on Knowledge …, 2009
10642009
Kernel methods for deep learning
Y Cho, L Saul
Advances in neural information processing systems 22, 2009
7412009
Advances in Neural Information Processing Systems 16
S Thrun, L Saul, B Schölkopf
Proceedings of the 2003 Conference. illustrated edition. London, England …, 2004
7152004
Identifying suspicious URLs: an application of large-scale online learning
J Ma, LK Saul, S Savage, GM Voelker
Proceedings of the 26th annual international conference on machine learning …, 2009
7022009
Learning a kernel matrix for nonlinear dimensionality reduction
KQ Weinberger, F Sha, LK Saul
Proceedings of the twenty-first international conference on Machine learning …, 2004
6362004
Mean field theory for sigmoid belief networks
LK Saul, T Jaakkola, MI Jordan
Journal of artificial intelligence research 4, 61-76, 1996
5491996
Advances in neural information processing systems 17: proceedings of the 2004 conference
LK Saul, Y Weiss, L Bottou
MIT Press, 2005
4092005
Fast solvers and efficient implementations for distance metric learning
KQ Weinberger, LK Saul
Proceedings of the 25th international conference on Machine learning, 1160-1167, 2008
3622008
An introduction to nonlinear dimensionality reduction by maximum variance unfolding
KQ Weinberger, LK Saul
AAAI 6, 1683-1686, 2006
3492006
Exploiting tractable substructures in intractable networks
L Saul, M Jordan
Advances in neural information processing systems 8, 1995
3441995
Multiplicative updates for nonnegative quadratic programming in support vector machines
F Sha, L Saul, D Lee
Advances in neural information processing systems 15, 2002
3362002
Spectral methods for dimensionality reduction.
LK Saul, KQ Weinberger, F Sha, J Ham, DD Lee
Semi-supervised learning 3, 2006
3292006
Semisupervised alignment of manifolds
J Ham, D Lee, L Saul
International Workshop on Artificial Intelligence and Statistics, 120-127, 2005
3252005
Global coordination of local linear models
S Roweis, L Saul, GE Hinton
Advances in neural information processing systems 14, 2001
2972001
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