|
[1]
|
Tatjana Eitrich and Bruno Lang.
Efficient optimization of support vector machine learning parameters
for unbalanced datasets.
J. Comput. Appl. Math., 196(2):425--436, November 2006.
[ DOI |
Abstract ]
|
|
[2]
|
Tatjana Eitrich and Bruno Lang.
On the advantages of weighted L1-norm support vector learning
for unbalanced binary classification problems.
In Proc. IS'06, 3rd Intl. IEEE Conf. Intelligent Systems,
September 4--6, 2006, University of Westminster, UK, pages 575--580. IEEE
Computer Society, September 2006.
[ DOI |
Abstract ]
|
|
[3]
|
Tatjana Eitrich, Bruno Lang, and Achim Streit.
Customizing the APPSPACK software for parallel parameter tuning of
a hybrid parallel support vector machine.
In Giuseppe Di Fatta, Michael R. Berthold, and Srinivasan
Parthasarathy, editors, Proc. PDM 2006, Workshop on Parallel Data
Mining in conjunction with ECML/PKDD 2006, September 18--22, 2006, Berlin,
Germany, pages 38--50, 2006.
[ Abstract ]
|
|
[4]
|
Tatjana Eitrich and Bruno Lang.
Data mining with parallel support vector machines for classification.
In Tatyana Yakhno and Erich J. Neuhold, editors, Proc. ADVIS
2006, 4th Intl. Conf. on Advances in Information Systems, October 18--20,
2006, Izmir, Turkey, volume 4243 of LNCS, pages 197--206, Berlin,
2006. Springer-Verlag.
[ DOI |
Abstract ]
|
|
[5]
|
Tatjana Eitrich and Bruno Lang.
On the optimal working set size in serial and parallel support vector
machine learning with the decomposition algorithm.
In Peter Christen, Paul J. Kennedy, Jiuyong Li, Simeon J. Simoff, and
Graham J. Williams, editors, Data Mining and Analytics 2006, Proc. Fifth Australasian Data Mining Conference (AusDM2006), November 29--30, 2006,
Sydney, Australia, volume 61 of Conferences in Research and Practice in
Information Technology (CRPIT), pages 121--128. Australian Computer Society,
Inc., 2006.
[ .html |
Abstract ]
|
|
[6]
|
Tatjana Eitrich and Bruno Lang.
Parallel cost-sensitive support vector machine software for
classification.
In Ulrich H. E. Hansmann, Jan Meinke, Sandipan Mohanty, and Olav
Zimmermann, editors, Proc. Workshop From Computational Biophysics to
Systems Biology, June 06--09, 2006, Jülich, Germany, volume 34 of
NIC Series, pages 141--144. John von Neumann Institute for Computing,
Jülich, 2006.
[ .pdf |
Abstract ]
|
|
[7]
|
Tatjana Eitrich, Wolfgang Frings, and Bruno Lang.
HyParSVM---a new hybrid parallel software for support vector
machine learning on SMP clusters.
In Wolfgang E. Nagel, Wolfgang W. Walter, and Wolfgang Lehner,
editors, Parallel Processing, Proc. Euro-Par 2006, 12th European
Conference on Parallel Computing, August 29--September 1, 2006, Dresden,
Germany, volume 4128 of LNCS, pages 350--359. Springer-Verlag, 2006.
[ DOI |
Abstract ]
|
|
[8]
|
Tatjana Eitrich and Bruno Lang.
Analysis of support vector machine training costs for large and
unbalanced data from pharmaceutical industry.
In Proc. 1st ICGST Intl. Conf. Artificial Intelligence and
Machine Learning (AIML-05), December 19--21, 2005, Cairo, Egypt, pages
58--64. ICGST, 2005.
[ Abstract ]
|
|
[9]
|
Tatjana Eitrich and Bruno Lang.
Parallel tuning of support vector machine learning parameters for
large and unbalanced data sets.
In Michael R. Berthold, Robert Glen, Kai Diederichs, Oliver
Kohlbacher, and Ingrid Fischer, editors, Computational Life Sciences:
First International Symposium, CompLife 2005, Konstanz, Germany, September
25--27, Proceedings, volume 3695 of LNBI, pages 253--264, Heidelberg,
2005. Springer-Verlag.
[ DOI |
Abstract ]
|
