-
1
-
-
33745625661
-
The identifiability of tree topology for phylogenetic models, including covarion and mixture models
-
DOI 10.1089/cmb.2006.13.1101
-
Allman, E. S. and Rhodes, J. A. The identifiability of tree topology for phylogenetic models, including covarion and mixture models. Journal of Computational Biology, 13(5):1101-1113, 2006. (Pubitemid 43993453)
-
(2006)
Journal of Computational Biology
, vol.13
, Issue.5
, pp. 1101-1113
-
-
Allman, E.S.1
Rhodes, J.A.2
-
2
-
-
85162327439
-
Spectral methods for learning multivariate latent tree structure
-
Anandkumar, A., Chaudhuri, K., Hsu, D., Kakade, S., Song, L., and Zhang, T. Spectral methods for learning multivariate latent tree structure. In Neural Information Processing Systems, 2011.
-
(2011)
Neural Information Processing Systems
-
-
Anandkumar, A.1
Chaudhuri, K.2
Hsu, D.3
Kakade, S.4
Song, L.5
Zhang, T.6
-
3
-
-
0002074731
-
The recovery of trees from measures of dissimilarity
-
Hodson, F.R., Kendall, D.G., and Tautu, P. (eds.), Edinburgh University Press
-
Buneman, P. The recovery of trees from measures of dissimilarity. In Hodson, F.R., Kendall, D.G., and Tautu, P. (eds.), Mathematics in the archaeological and historical sciences, pp. 387-395. Edinburgh University Press, 1971.
-
(1971)
Mathematics in the Archaeological and Historical Sciences
, pp. 387-395
-
-
Buneman, P.1
-
4
-
-
34250499792
-
Analysis of individual differences in multidimensional scaling via an N-way generalization of "Eckart-Young" decomposition
-
Carroll, J. and Chang, J. Analysis of individual differences in multidimensional scaling via an N-way generalization of "Eckart-Young" decomposition. Psychometrika, 35(3):283-319, 1970.
-
(1970)
Psychometrika
, vol.35
, Issue.3
, pp. 283-319
-
-
Carroll, J.1
Chang, J.2
-
5
-
-
79960117913
-
Learning latent tree graphical models
-
Choi, M., Tan, V., Anandkumar, A., and Willsky, A. Learning latent tree graphical models. Journal of Machine Learning Research, 12:1771-1812, 2011.
-
(2011)
Journal of Machine Learning Research
, vol.12
, pp. 1771-1812
-
-
Choi, M.1
Tan, V.2
Anandkumar, A.3
Willsky, A.4
-
6
-
-
84933530882
-
Approximating discrete probability distributions with dependence trees
-
Chow, C., and Liu, C. Approximating discrete probability distributions with dependence trees. IEEE Transactions on Information Theory, 14:462-467, 1968.
-
(1968)
IEEE Transactions on Information Theory
, vol.14
, pp. 462-467
-
-
Chow, C.1
Liu, C.2
-
7
-
-
0001860411
-
A few logs suffice to build (almost) all trees: Part II
-
Erdös, P. L., Székely, L. A., Steel, M. A., and Warnow., T. J. A few logs suffice to build (almost) all trees: Part II. Theoretical Computer Science, 221:77-118, 1999.
-
(1999)
Theoretical Computer Science
, vol.221
, pp. 77-118
-
-
Erdös, P.L.1
Székely, L.A.2
Steel, M.A.3
Warnow, T.J.4
-
8
-
-
33745627269
-
Tree construction using singular value decomposition
-
Pachter, L. and Sturmfels, B. (eds.), Cambridge University Press
-
Eriksson, N. Tree construction using singular value decomposition. In Pachter, L. and Sturmfels, B. (eds.), Algebraic Statistics for Computational Biology, pp. 347-358. Cambridge University Press, 2005. URL http://dx.doi.org/ 10.1017/CBO9780511610684.
-
(2005)
Algebraic Statistics for Computational Biology
, pp. 347-358
-
-
Eriksson, N.1
-
9
-
-
0034853839
-
A rank minimization heuristic with application to minimum order system approximation
-
Fazel, Maryam, Hindi, Haitham, and Boyd, Stephen P. A rank minimization heuristic with application to minimum order system approximation. In American Control Conference, pp. 4734-4739, 2001.
-
(2001)
American Control Conference
, pp. 4734-4739
-
-
Fazel, M.1
Hindi, H.2
Boyd, S.P.3
-
10
-
-
77956032667
-
Hierarchical singular value decomposition of tensors
-
Grasedyck, L. Hierarchical singular value decomposition of tensors. SIAM J. Matrix Anal. Appl., 31(4): 2029-2054, 2010.
-
(2010)
SIAM J. Matrix Anal. Appl.
, vol.31
, Issue.4
, pp. 2029-2054
-
-
Grasedyck, L.1
-
11
-
-
33646528415
-
Measuring statistical dependence with Hilbert-Schmidt norms
-
Jain, S., Simon, H. U., and Tomita, E. (eds.), Springer-Verlag
-
Gretton, A., Bousquet, O., Smola, A. J., and Schölkopf, B. Measuring statistical dependence with Hilbert-Schmidt norms. In Jain, S., Simon, H. U., and Tomita, E. (eds.), Proceedings of the International Conference on Algorithmic Learning Theory, pp. 63-77. Springer-Verlag, 2005a.
-
(2005)
Proceedings of the International Conference on Algorithmic Learning Theory
, pp. 63-77
-
-
Gretton, A.1
Bousquet, O.2
Smola, A.J.3
Schölkopf, B.4
-
12
-
-
29144480967
-
Kernel methods for measuring independence
-
Gretton, A., Herbrich, R., Smola, A. J., Bousquet, O., and Schölkopf, B. Kernel methods for measuring independence. Journal of Machine Learning Research, 6:2075-2129, 2005b. (Pubitemid 41798124)
-
(2005)
Journal of Machine Learning Research
, vol.6
, pp. 2075-2129
-
-
Gretton, A.1
Herbrich, R.2
Smola, A.3
Bousquet, O.4
Scholkopf, B.5
-
14
-
-
0002740437
-
Foundations of the PARAFAC procedure: Model and conditions for an "explanatory" multi-mode factor analysis
-
Harshman, R. A. Foundations of the PARAFAC procedure: Model and conditions for an "explanatory" multi-mode factor analysis. UCLA Working Papers in Phonetics, 16(1):1-84, 1970.
-
(1970)
UCLA Working Papers in Phonetics
, vol.16
, Issue.1
, pp. 1-84
-
-
Harshman, R.A.1
-
16
-
-
0028181246
-
Reconstructing evolutionary trees from dna and protein sequences: Paralinear distances
-
Lake, J.A. Reconstructing evolutionary trees from dna and protein sequences: paralinear distances. Proceedings of the National Academy of Sciences, 91 (4):1455, 1994.
-
(1994)
Proceedings of the National Academy of Sciences
, vol.91
, Issue.4
, pp. 1455
-
-
Lake, J.A.1
-
17
-
-
64949116073
-
Why neighbor-joining works
-
Mihaescu, R., Levy, D., and Pachter, L. Why neighbor-joining works. Algorithmica, 54(1):1-24, 2009.
-
(2009)
Algorithmica
, vol.54
, Issue.1
, pp. 1-24
-
-
Mihaescu, R.1
Levy, D.2
Pachter, L.3
-
19
-
-
80053441005
-
A spectral algorithm for latent tree graphical models
-
Parikh, A., Song, L., and Xing, E. P. A spectral algorithm for latent tree graphical models. In Proceedings of the International Conference on Machine Learning, 2011.
-
Proceedings of the International Conference on Machine Learning, 2011
-
-
Parikh, A.1
Song, L.2
Xing, E.P.3
-
21
-
-
38249041558
-
Structuring causal trees
-
Pearl, J. and Tarsi, M. Structuring causal trees. Journal of Complexity, 2(1):60-77, 1986.
-
(1986)
Journal of Complexity
, vol.2
, Issue.1
, pp. 60-77
-
-
Pearl, J.1
Tarsi, M.2
-
22
-
-
0019424782
-
Comparison of phylogenetic trees
-
DOI 10.1016/0025-5564(81)90043-2
-
Robinson, D.F. and Foulds, L.R. Comparison of phylogenetic trees. Mathematical Biosciences, 53(1-2): 131-147, 1981. (Pubitemid 11129084)
-
(1981)
Mathematical Biosciences
, vol.53
, Issue.1-2
, pp. 131-147
-
-
Robinson, D.F.1
Foulds, L.R.2
-
23
-
-
77949525643
-
On learning with integral operators
-
Rosasco, L., Belkin, M., and Vito, E.D. On learning with integral operators. Journal of Machine Learning Research, 11:905-934, 2010.
-
(2010)
Journal of Machine Learning Research
, vol.11
, pp. 905-934
-
-
Rosasco, L.1
Belkin, M.2
Vito, E.D.3
-
24
-
-
0023375195
-
The neighbor-joining method: A new method for reconstructing phylogenetic trees
-
Saitou, N. and Nei, M. The neighbor-joining method: a new method for reconstructing phylogenetic trees. Molecular Biology and Evolution, 4(4):406-425, 1987.
-
(1987)
Molecular Biology and Evolution
, vol.4
, Issue.4
, pp. 406-425
-
-
Saitou, N.1
Nei, M.2
-
25
-
-
0042601470
-
-
Oxford University Press, USA
-
Semple, C. and Steel, M.A. Phylogenetics, volume 24. Oxford University Press, USA, 2003.
-
(2003)
Phylogenetics
, vol.24
-
-
Semple, C.1
Steel, M.A.2
-
27
-
-
21844479166
-
Hierarchical latent class models for cluster analysis
-
Zhang, N. L. Hierarchical latent class models for cluster analysis. Journal of Machine Learning Research, 5:697-723, 2004.
-
(2004)
Journal of Machine Learning Research
, vol.5
, pp. 697-723
-
-
Zhang, N.L.1
|