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K. Crammer, R. Gilad-Bachrach, A.Navot, and A.Tishby. Margin analysis of the LVQ algorithm. In Proc. NIPS2002.

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Monitoring Technical Systems With Prototype Based Clustering - Bojer, Hammer, Koers (2003)   (Correct)

....task. However, one condition for our application is that the classi er can easily be interpreted by humans. In contrast to the SVM, this is easily achieved by prototype based classi cation. Moreover, LVQ likely shows very good generalization performance being, like SVM, a large margin optimizer [2]. A typical piston compressor is equipped with several sensors which measure pressure and oscillation at a rotation of the piston rod. Data are here monitored in 36 segments of a full rotation and the mean and absolute value is stored for each segment. Another time series is provided by the ....

K.Crammer, R.Gilad-Bachrach, A.Navot, and N.Tishby. Margin analysis of the LVQ algorithm, NIPS'2002.


Metric Adaptation for Optimal Feature Classification in.. - Villmann, Hammer, al. (2004)   (Correct)

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K. Crammer, R. Gilad-Bachrach, A.Navot, and A.Tishby. Margin analysis of the LVQ algorithm. In Proc. NIPS2002.


On the generalization ability of prototype-based classifiers.. - Hammer, al. (2005)   (Correct)

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K. Crammer, R. Gilad-Bachrach, A. Navot, and A. Tishby. Margin analysis of the LVQ algorithm. In: Advances in Neural Information Processing Systems 2002.


Prototype Based Recognition of Splice Sites - Hammer, Strickert, Villmann   (Correct)

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K. Crammer, R. Gilad-Bachrach, A. Navot, and A. Tishby. Margin analysis of the LVQ algorithm. In: NIPS 2002.


Relevance LVQ versus SVM - Barbara Hammer Marc (2004)   (Correct)

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K. Crammer, R. Gilad-Bachrach, A. Navot, and A. Tishby. Margin analysis of the LVQ algorithm. In: NIPS 2002.


On the Generalization Ability of GRLVQ networks - Hammer, Strickert, Villmann   (Correct)

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K. Crammer, R. Gilad-Bachrach, A. Navot, and A. Tishby. Margin analysis of the LVQ algorithm. In: Advances in Neural Information Processing Systems 2002,to appear.


Self-Organizing Neural Networks for Sequence Processing - Strickert   (Correct)

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K. Crammer, R. Gilad-Bachrach, A. Navot, and N. Tishby. Margin Analysis of the LVQ Algorithm. In S. Becker, S. Thrun, and K. Obermayer, editors, Advances in Neural Information Processing Systems 15 (NIPS), volume 15, pages 462--469, Cambridge, MA, 2003. MIT Press.


On the Generalization Ability of GRLVQ Networks - Hammer, Strickert, Villmann   (Correct)

No context found.

K. Crammer, R. Gilad-Bachrach, A. Navot, and A. Tishby. Margin analysis of the LVQ algorithm. In: Advances in Neural Information Processing Systems 2002, to appear.


Relevance LVQ versus SVM - Barbara Hammer Marc (2004)   (Correct)

No context found.

K. Crammer, R. Gilad-Bachrach, A. Navot, and A. Tishby. Margin analysis of the LVQ algorithm. In: NIPS 2002.


Prototype Based Recognition of Splice Sites - Hammer, Strickert, Villmann   (Correct)

No context found.

K. Crammer, R. Gilad-Bachrach, A. Navot, and A. Tishby. Margin analysis of the LVQ algorithm. In: NIPS 2002.


Mathematical Aspects of Neural Networks - Hammer (2003)   (Correct)

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K. Crammer, R. Gilad-Bachrach, A. Navot, and A. Tishby. Margin analysis of the LVQ algorithm. In: NIPS 2002.


Supervised Neural Gas with General Similarity Measure - Hammer, Strickert (2003)   (Correct)

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K. Crammer, R. Gilad-Bachrach, A. Navot, and A. Tishby. Margin analysis of the LVQ algorithm. In: Advances in Neural Information Processing Systems 2002, to appear.

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