-
T. Joachims, "Making large-scale support vector machine learning practical," , Schölkopf, B., Burges, C., and Smola, A., Eds., MIT Press, Cambridge, MA, 1998.
@incollection{joachims98making,
author = {Thorsten Joachims},
Booktitle = {Advances in Kernel Methods: Support Vector Machines},
Date-Added = {2007-06-13 17:39:20 +0200},
Date-Modified = {2007-06-19 11:33:35 +0200},
Editor = {Bernhard Sch{”o}lkopf and Christopher Burges and Alexander Smola},
Keywords = {svm, optimization, shrinking, heuristics},
Publisher = {MIT Press, Cambridge, MA},
Title = {Making large-scale support vector machine learning practical},
Url = {http://citeseer.ist.psu.edu/joachims98making.html},
Year = {1998},
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I. S. Dhillon, J. Fan, and Y. Guan, "Efficient Clustering of Very Large Document Collections," , R. Grossman C. Kamath, K. V. and Namburu, R., Eds., Kluwer Academic Publishers, 2001.
@incollection{dhillonfanguan00,
author = {Dhillon, I. S. and Fan, J. and Guan, Y.},
Booktitle = {Data Mining for Scientific and Engineering Applications},
Date-Added = {2007-08-11 17:18:03 +0200},
Date-Modified = {2007-08-11 17:19:01 +0200},
Editor = {R. Grossman, C. Kamath, V. Kumar and R. Namburu},
Keywords = {clustering},
Publisher = {Kluwer Academic Publishers},
Title = {Efficient Clustering of Very Large Document Collections},
Url = {http://www.cs.utexas.edu/users/inderjit/public_papers/effclus.ps.gz},
Year = {2001},
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-
M. Teboulle, P. Berkhin, I. S. Dhillon, Y. Guan, and J. Kogan, "Clustering with Entropy-like k-means Algorithms," , Kogan, J., Nicholas, C., and Taboulle, M., Eds., Springer-Verlag, 2005, pp. 127-160.
@incollection{klkmeans05,
author = {M. Teboulle and P. Berkhin and I. S. Dhillon and Y. Guan and J. Kogan},
Booktitle = {Grouping Multidimensional Data: Recent Advances in Clustering},
Chapter = {5},
Date-Added = {2007-08-28 23:40:40 +0200},
Date-Modified = {2007-08-29 23:38:52 +0200},
Editor = {Jacob Kogan and Charles Nicholas and Marc Taboulle},
Keywords = {clustering, k-means, relative entropy, bregman},
Pages = {127–160},
Publisher = {Springer-Verlag},
Title = {Clustering with {Entropy}-like k-means {Algorithms}},
Url = {http://www.springerlink.com/index/h7rp0p4074778pgt.pdf},
Year = {2005},
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-
J. G. Carbonell, R. S. Michalski, and T. M. Mitchell, "An Overview of Machine Learning," , Michalski, R. S., Carbonell, J. G., and Mitchell, T. M., Eds., Berlin, Heidelberg: Springer, 1984, pp. 3-23.
@incollection{Carbonell:84, Address = {Berlin, Heidelberg},
Author = {J. G. Carbonell and R. S. Michalski and T. M. Mitchell},
Booktitle = {Machine Learning: An Artificial Intelligence Approach},
Date-Added = {2007-09-09 15:07:07 +0200},
Date-Modified = {2007-09-09 15:07:50 +0200},
Editor = {R. S. Michalski and J. G. Carbonell and T. M. Mitchell},
Keywords = {machine learning},
Pages = {3-23},
Publisher = {Springer},
Title = {An Overview of Machine Learning},
Url = {http://mars.gmu.edu/dspace/bitstream/1920/1569/1/83-02.pdf},
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-
J. C. Platt, "Fast training of support vector machines using sequential minimal optimization." Cambridge, MA, USA: MIT Press, 1999, pp. 185-208.
@incollection{299105, Address = {Cambridge, MA, USA},
Author = {John C. Platt},
Booktitle = {Advances in Kernel Methods - Support Vector Learning},
Date-Added = {2007-10-31 17:59:20 +0100},
Date-Modified = {2007-10-31 18:42:59 +0100},
Isbn = {0-262-19416-3},
Journal = {Advances in Kernel Methods - Support Vector Learning},
Keywords = {SVM, SMO},
Pages = {185–208},
Publisher = {MIT Press},
Title = {Fast training of support vector machines using sequential minimal optimization},
Url = {http://research.microsoft.com/~jplatt/abstracts/SMO.html},
Year = {1999},
Bdsk-Url-1 = {http://research.microsoft.com/~jplatt/abstracts/SMO.html}
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-
E. Welzl, "Smallest Enclosing Disks (Balls and Ellipsoids)," , Maurer, H., Ed., Springer, 1991.
@incollection{welzl91smallest,
author = {Emo Welzl},
Booktitle = {New Results and New Trends in Computer Science},
Date-Added = {2007-10-28 00:18:16 +0200},
Date-Modified = {2007-10-30 21:13:26 +0100},
Editor = {H. Maurer},
Keywords = {MEB},
Publisher = {Springer},
Series = {LNCS},
Title = {Smallest Enclosing Disks (Balls and Ellipsoids)},
Url = {http://citeseer.nj.nec.com/welzl91smallest.html},
Year = {1991},
Bdsk-Url-1 = {http://citeseer.nj.nec.com/welzl91smallest.html}
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-
I. S. Dhillon, J. Fan, and Y. Guan, "Efficient Clustering of Very Large Document Collections," , R. Grossman C. Kamath, K. V. and Namburu, R., Eds., Kluwer Academic Publishers, 2001.
@incollection{dhillon:fan:guan00,
author = {Dhillon, I. S. and Fan, J. and Guan, Y.},
Booktitle = {Data Mining for Scientific and Engineering Applications},
Date-Added = {2008-01-07 13:02:43 +0100},
Date-Modified = {2008-01-07 14:08:50 +0100},
Editor = {R. Grossman, C. Kamath, V. Kumar and R. Namburu},
Note = {Invited book chapter},
Publisher = {Kluwer Academic Publishers},
Title = {Efficient Clustering of Very Large Document Collections},
Url = {http://www.cs.utexas.edu/users/inderjit/public_papers/effclus.ps.gz},
Year = {2001},
Bdsk-Url-1 = {http://www.cs.utexas.edu/users/inderjit/public_papers/effclus.ps.gz}
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