-
1
-
-
5844297152
-
Theory of reproducing kernels
-
Aronszajn, N. (1950). Theory of reproducing kernels. Trans. Amer. Math. Soc., 68, 337-404.
-
(1950)
Trans. Amer. Math. Soc.
, vol.68
, pp. 337-404
-
-
Aronszajn, N.1
-
2
-
-
0011812771
-
Kernel independent component analysis
-
Bach, F. R., & Jordan, M. I. (2002). Kernel independent component analysis. J. Mach. Learn. Res., 3, 1-48.
-
(2002)
J. Mach. Learn. Res.
, vol.3
, pp. 1-48
-
-
Bach, F.R.1
Jordan, M.I.2
-
3
-
-
79957452155
-
Fault identification via non-parametric belief propagation
-
ISSN 1053-587X
-
Bickson, D., Baron, D., Ihler, A., Avissar, H., & Dolev, D. (2011). Fault identification via non-parametric belief propagation. IEEE Transactions on Signal Processing. ISSN 1053-587X.
-
(2011)
IEEE Transactions on Signal Processing
-
-
Bickson, D.1
Baron, D.2
Ihler, A.3
Avissar, H.4
Dolev, D.5
-
4
-
-
4544371135
-
Dimensionality reduction for supervised learning with reproducing kernel Hilbert spaces
-
Fukumizu, K., Bach, F. R., & Jordan, M. I. (2004). Dimensionality reduction for supervised learning with reproducing kernel Hilbert spaces. J. Mach. Learn. Res., 5, 73-99.
-
(2004)
J. Mach. Learn. Res.
, vol.5
, pp. 73-99
-
-
Fukumizu, K.1
Bach, F.R.2
Jordan, M.I.3
-
5
-
-
78049347967
-
Characteristic kernels on groups and semigroups
-
Red Hook, NY: Curran Associates Inc
-
Fukumizu, K., Sriperumbudur, B., Gretton, A., & Schoelkopf, B. (2009). Characteristic kernels on groups and semigroups. In Advances in Neural Information Processing Systems 21, 473-480. Red Hook, NY: Curran Associates Inc.
-
(2009)
Advances in Neural Information Processing Systems
, vol.21
, pp. 473-480
-
-
Fukumizu, K.1
Sriperumbudur, B.2
Gretton, A.3
Schoelkopf, B.4
-
7
-
-
21844467514
-
Loopy belief propagation: Convergence and effects of message errors
-
Ihler, A. T., Fisher III, J. W., & Willsky, A. S. (2005). Loopy belief propagation: Convergence and effects of message errors. J. Mach. Learn. Res., 6, 905-936.
-
(2005)
J. Mach. Learn. Res.
, vol.6
, pp. 905-936
-
-
Ihler, A.T.1
Fisher III, J.W.2
Willsky, A.S.3
-
8
-
-
4544285189
-
Efficient multiscale sampling from products of gaussian mixtures
-
Ihler, E. T., Sudderth, E. B., Freeman, W. T., & Willsky, A. S. (2003). Efficient multiscale sampling from products of gaussian mixtures. In In NIPS 17.
-
(2003)
In NIPS
, vol.17
-
-
Ihler, E.T.1
Sudderth, E.B.2
Freeman, W.T.3
Willsky, A.S.4
-
9
-
-
0033578684
-
Protein secondary structure prediction based on position-specific scoring matrices
-
Jones, D. T. (1999). Protein secondary structure prediction based on position-specific scoring matrices. J. Mol. Biol., 292, 195-202.
-
(1999)
J. Mol. Biol.
, vol.292
, pp. 195-202
-
-
Jones, D.T.1
-
11
-
-
81455158564
-
GraphLab: A new parallel framework for machine learning
-
Low, Y., Gonzalez, J., Kyrola, A., Bickson, D., Guestrin, C., & Hellerstein, J. M. (2010). GraphLab: A new parallel framework for machine learning. In Conference on Uncertainty in Artificial Intelligence.
-
(2010)
Conference on Uncertainty in Artificial Intelligence
-
-
Low, Y.1
Gonzalez, J.2
Kyrola, A.3
Bickson, D.4
Guestrin, C.5
Hellerstein, J.M.6
-
12
-
-
0032001728
-
Turbo decoding as an instance of Pearl's belief propagation algorithm
-
McEliece, R., MacKay, D., & Cheng, J. (1998). Turbo decoding as an instance of Pearl's belief propagation algorithm. J-SAC.
-
(1998)
J-SAC
-
-
McEliece, R.1
MacKay, D.2
Cheng, J.3
-
13
-
-
0002425879
-
Loopy belief propagation for approximate inference: An empirical study
-
Murphy, K. P., Weiss, Y., & Jordan, M. I. (1999). Loopy belief propagation for approximate inference: An empirical study. In UAI, 467-475.
-
(1999)
UAI
, pp. 467-475
-
-
Murphy, K.P.1
Weiss, Y.2
Jordan, M.I.3
-
15
-
-
64849095075
-
Make3d: Learning 3d scene structure from a single still image
-
ISSN 0162-8828. doi
-
Saxena, A., Sun, M., & Ng, A. Y. (2009). Make3d: Learning 3d scene structure from a single still image. IEEE Trans. Pattern Anal. Mach. Intell., 31(5), 824-840. ISSN 0162-8828. doi: http://dx.doi.org/10.1109/TPAMI.2008.132.
-
(2009)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.31
, Issue.5
, pp. 824-840
-
-
Saxena, A.1
Sun, M.2
Ng, A.Y.3
-
17
-
-
4444292685
-
-
Cambridge, MA: MIT Press
-
Schölkopf, B., Tsuda, K., & Vert, J.-P. (2004). Kernel Methods in Computational Biology. Cambridge, MA: MIT Press.
-
(2004)
Kernel Methods in Computational Biology
-
-
Schölkopf, B.1
Tsuda, K.2
Vert, J.-P.3
-
19
-
-
84860645997
-
Nonparametric tree graphical models
-
vol. 9 of JMLR workshop and conference proceedings
-
Song, L., Gretton, A., & Guestrin, C. (2010). Nonparametric tree graphical models. In 13th Workshop on Artificial Intelligence and Statistics, vol. 9 of JMLR workshop and conference proceedings, 765-772.
-
(2010)
13th Workshop on Artificial Intelligence and Statistics
, pp. 765-772
-
-
Song, L.1
Gretton, A.2
Guestrin, C.3
-
20
-
-
77956510235
-
Hilbert space embeddings of conditional distributions
-
Song, L., Huang, J., Smola, A., & Fukumizu, K. (2009). Hilbert space embeddings of conditional distributions. In Proc. Intl. Conf. Machine Learning.
-
(2009)
Proc. Intl. Conf. Machine Learning
-
-
Song, L.1
Huang, J.2
Smola, A.3
Fukumizu, K.4
-
21
-
-
0010786475
-
On the influence of the kernel on the consistency of support vector machines
-
Steinwart, I. (2001). On the influence of the kernel on the consistency of support vector machines. J. Mach. Learn. Res., 2, 67-93.
-
(2001)
J. Mach. Learn. Res.
, vol.2
, pp. 67-93
-
-
Steinwart, I.1
-
22
-
-
17744411678
-
Nonparametric belief propagation
-
Sudderth, E., Ihler, A., Freeman, W., & Willsky, A. (2003). Nonparametric belief propagation. In CVPR.
-
(2003)
CVPR
-
-
Sudderth, E.1
Ihler, A.2
Freeman, W.3
Willsky, A.4
-
23
-
-
84860618210
-
-
Sugiyama, M., Takeuchi, I., Suzuki, T., Kanamori, T., Hachiya, H., & Okanohara, D. (2010). Conditional density estimation via least-squares density ratio estimation. 781-788.
-
(2010)
Conditional Density Estimation Via Least-squares Density Ratio Estimation
, pp. 781-788
-
-
Sugiyama, M.1
Takeuchi, I.2
Suzuki, T.3
Kanamori, T.4
Hachiya, H.5
Okanohara, D.6
-
25
-
-
65749118363
-
Graphical models, exponential families, and variational inference
-
Wainwright, M. J., & Jordan, M. I. (2008). Graphical models, exponential families, and variational inference. Foundations and Trends in Machine Learning, 1(1 - 2), 1-305.
-
(2008)
Foundations and Trends in Machine Learning
, vol.1
, Issue.1-2
, pp. 1-305
-
-
Wainwright, M.J.1
Jordan, M.I.2
-
26
-
-
0011952756
-
Correctness of belief propagation in Gaussian graphical models of arbitrary topology
-
Weiss, Y., & Freeman, W. T. (2001). Correctness of belief propagation in Gaussian graphical models of arbitrary topology. Neural Computation, 13, 2173-2200.
-
(2001)
Neural Computation
, vol.13
, pp. 2173-2200
-
-
Weiss, Y.1
Freeman, W.T.2
-
28
-
-
85156207167
-
Approximate inference and protein-folding
-
MIT Press
-
Yanover, C., & Weiss, Y. (2002). Approximate inference and protein-folding. In NIPS, 1457-1464. MIT Press.
-
(2002)
NIPS
, pp. 1457-1464
-
-
Yanover, C.1
Weiss, Y.2
-
29
-
-
84898975095
-
Generalized belief propagation
-
T. K. Leen, T. G. Dietterich, & V. Tresp, eds. MIT Press
-
Yedidia, J. S., Freeman, W. T., & Weiss, Y. (2001). Generalized belief propagation. In T. K. Leen, T. G. Dietterich, & V. Tresp, eds., Advances in Neural Information Processing Systems 13, 689-695. MIT Press.
-
(2001)
Advances in Neural Information Processing Systems
, vol.13
, pp. 689-695
-
-
Yedidia, J.S.1
Freeman, W.T.2
Weiss, Y.3
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