| K. Balakrishnan and V. Honavar. Intelligent diagnosis systems. Journal of Intelligent Systems, 8, 1998. |
....This research was partially supported by the National Science Foundation (through grant IRI 9409580) and the John Deere Foundation. 1 Introduction Trainable pattern classifiers find a broad range of applications in data mining and knowledge discovery [1, 2] intelligent agents [3, 4] diagnosis[5], computer vision [6] and automated knowledge acquisition [2, 7, 8, 9] from data. Multi layer networks of threshold logic units (TLU) 10, 11, 12, 13, 14, 15] offer an attractive framework for the design of trainable pattern classification systems for a number of reasons including: potential for ....
K. Balakrishnan and V. Honavar. Intelligent diagnosis systems. International Journal of Intelligent Systems, 1998. In press.
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Balakrishnan, K. and Honavar, V. (1998) Intelligent Diagnosis Systems. Journal of Intelligent Systems.. Vol. 8. No.3/4. pp. 239-290.
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Balakrishnan, K. and Honavar, V. (1998) Intelligent Diagnosis Systems. Journal of Intelligent Systems.. Vol. 8. No.3/4. pp. 239-290.
....paradigms which are part of a modular and and extensible knowledge discov ery toolkit. They have been used to customize information retrieval agents [9] 8] discover patterns that characterize intrusion in computer systems [18] and various data driven knowledge discovery applications [19] [20]. Current work is aimed at extending the machine learning tools discovery and theory refinement to handle heterogeneous data sources (including images, text, and different types of sensor data) Multi agent systems are natural consequences of a modular approach to designing complex distributed ....
K. Balakrishnan and V. Honavar, "Intelligent diagnosis systems, " International Journal of Intelligent Systems, 1998, In press.
No context found.
K. Balakrishnan and V. Honavar. Intelligent diagnosis systems. Journal of Intelligent Systems, 8, 1998.
No context found.
K. Balakrishnan and V. Honavar. Intelligent diagnosis systems. Journal of Intelligent Systems, 8, 1998.
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