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(2006)
Victor Boyarshinov,
Malik Magdon-Ismail,
"Optimal Boosting of A Pair of Classifiers",
(accepted to appear in) IEEE Transactions on Neural Networks, November 2006.
postscript,
pdf.
-
(2006)
Sibel Adali, Brandeis Hill and
Malik Magdon-Ismail,
"The Impact of Ranker Quality on Ranker Aggregation Algorithms: Information
vs. Robustness",
ICDE Workshop on Challenges in Web Information
Retrieval and Integration (WIRI),
Atlanta, Georgia, April 3, 2006.
postscript,
pdf.
Slides:
postscript,
pdf.
-
(2005)
Jonathan Purnell,
Malik Magdon-Ismail, Heidi Newberg
"A Probabilistic Approach to Finding Geometric
Objects in Spatial Datasets of the Milky Way",
15th International Symposium on Methodoligies for
Intelligent Systems (ISMIS 2005),
May 25-28, Saratoga Springs, NY, USA.
postscript,
pdf.
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(2005)
Mark Goldberg, David Hollinger,
Malik Magdon-Ismail
"Experimental Evaluation of the Greedy and Random Algorithms for Finding
Independent Sets in Random Graphs",
4th International Workshop on Efficient and Experimental
Algorithms (WEA 2005),
May 10-13, Santorini, Greece.
postscript,
pdf.
-
(2004)
Victor Boyarshinov,
Malik Magdon-Ismail
"Linear Time Isotonic and Unimodal Regression in the L1 and Linfinity
Norms",
(accepted to appear in) Journal of Discrete Algorithms.
postscript
, pdf.
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(2003) Malik Magdon-Ismail and Joseph Sill
"Using a Linear Fit to Determine Monotonicity Directions",
The 16th Annual Conference on Learning Theory (COLT 2003),
Washington, DC, USA, August 24-27 2003.
ps
pdf
Journal Version:
"A Linear Model Gets the Correct Monotonicity Directions",
submitted to Journal of Machine Learning.
postscript
, pdf.
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(2002) Malik Magdon-Ismail, Hung-Ching (Justin) Chen
and Yaser S. Abu-Mostafa
"The Multilevel Classification Problem and a Monotonicity Hint",
Intelligent Data Engineering and Learning, Third International Conference,
Manchester, UK, August, 2002. Springer.
postscript,
pdf.
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(2001) Mark K. Goldberg, Darren T. Lim and
Malik Magdon-Ismail
"A Learning Algorithm for String Assembly",
BIOKDD01: Workshop on Data Mining in Bioinformatics (with SIGKDD01 Conference), August 2001.
postscript,
pdf.
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(2001) Eric Breimer, Mark K. Goldberg, Brian Kolstad and
Malik Magdon-Ismail
"On the Height of a Random Set of Points in a d-Dimensional Unit Cube",
Journal of Experimental Mathematics, Volume 10, Number 4, pp 583-597, 2001.
postscript
, pdf,
source code.
-
(2000) Malik Magdon-Ismail and Amir F. Atiya
"Density Estimation and Random Variate Generation Using Multi-Layer Networks",
IEEE Transactions on Neural Networks, (accepted to appear) December 2000.
postscript
, pdf.
-
(2000) Malik Magdon-Ismail and Amir F. Atiya
"The Early Restart Algorithm",
Neural Computation, Volume 12, Number 6, pp 1303-1313, June 2000.
postscript
, pdf.
-
(2000) Malik Magdon-Ismail
"No Free Lunch for Noise Prediction",
Neural Computation, Volume 12, Number 3, pp547-565, March 2000.
postscript
, pdf.
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(1999) Zehra Cataltepe, Yaser Abu-Mostafa and Malik Magdon-Ismail
"No Free Lunch for Early Stopping",
Neural Computation, Volume 11, Number 4, pp 995-1010, May 1998.
postscript
, pdf.
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(1999) Malik Magdon-Ismail and Amir F. Atiya
"A Control Formulation for Random Variate Generation",
Neural Networks for Signal Processing (NNSP99) IX, Proceedings of the 1999
IEEE Workshop, eds. Yu-Hen Hu, Jan Larsen, Elizabeth Wilson, Scott Douglas, August 1999.
postscript,
pdf.
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(1998) Malik Magdon-Ismail, Alexander Nicholson and Yaser Abu-Mostafa,
"Financial Markets, Very Noisy Information Processing",
Proceedings of the IEEE, Special Issue on Intelligent Signal Processing, Volume 86, Number 11, pp 2184-2195, November 1998.
postscript
, pdf.
addendum to definition A.1, postcript
, pdf.
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(1998) Malik Magdon-Ismail and Amir Atiya,
"Neural Networks for Density Estimation",
Advances in Neural Information Processing Systems (NIPS) 11, Proceedings of the 1998 Conference, pp522-528, eds. Michael S. Kearns, Sara A. Solla and David A. Cohen, MIT Press, 1998.
postscript,
pdf.
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(1998) Malik Magdon-Ismail, Alexander Nicholson and Yaser Abu-Mostafa,
"Estimating Model Limitation in Financial Markets",
Intelligent Data Engineering and Learning (IDEAL), First International Symposium, pp 19-26, eds. L. Xu, L. W. Chan, I. King and A. Fu, Springer, October, 1998.
postscript,
pdf.
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