Monotonic networks

Advances in Neural Information Processing Systems

Volumn , Issue , 1998, Pages 661-667

  Sill, Joseph ^a  

^a CALIFORNIA INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CORPORATE BOND RATING; FUNCTIONAL FORMS; MACHINE LEARNING MODELS; MONOTONIC FUNCTIONS; MONOTONICITY; REAL-WORLD TASK; STRAIGHT-FORWARD METHOD; UNIVERSAL APPROXIMATORS;

EID: 84898968939     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (7)

1. S. Geman and E. Bienenstock (1992). Neural Networks and the Bias-Variance Dilemma. Neural Computation pp 1-58.
2. D. Wolpert (1996). The Lack of A Priori Distinctions Between Learning Algorithms. Neural Computation 8, pp 1341-1390.
3. Y. Abu-Mostafa (1990). Learning from Hints in Neural Networks Journal of Complexity 6, 192-198.
4. Y. Abu-Mostafa (1993) Hints and the VC Dimension Neural Computation 4, 278-288.
5. Y. Abu-Mostafa (1995) Financial Market Applications of Learning from Hints Neural Networks in the Capital Markets, A. Refenes, ed., 221-232. Wiley, London, UK.
6. J. Sill and Y. Abu-Mostafa (1996) Monotonicity Hints. To appear in it Advances in Neural Information Processing Systems 9.
7. W.W. Armstrong, C. Chu, M. M. Thomas (1996) Feasibility of using Adaptive Logic Networks to Predict Compressor Unit Failure Applications of Neural Networks in Environment, Energy, and Health, Chapter 12. P. Keller, S. Hashem, L. Kangas, R. Kouzes, eds, World Scientific Publishing Company, Ltd., London.