Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Kurt D. Bollacker"'
Autor:
Joydeep Ghosh, Kurt D. Bollacker
Publikováno v:
Pattern Recognition Letters. 20:1347-1352
We explore the use of the supra-classifier framework in the construction of a classifier knowledge base. Previously, we introduced this framework within which labels produced by old classifiers are used to improve the generalization performance of a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4bf3cd4d631b74be546fb83e1f218aa3
https://doi.org/10.1016/s0167-8655(99)00104-x
https://doi.org/10.1016/s0167-8655(99)00104-x
Autor:
Kurt D. Bollacker, Joydeep Ghosh
Publikováno v:
Pattern Recognition Letters. 18:1385-1390
We introduce a framework for the reuse of knowledge from previously trained classifiers to improve performance in a current and possibly related classification task. The approach used is flexible in the type and relevance of reused classifiers and is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::52e4addad1dcaba476af17062c35eabb
https://doi.org/10.1016/s0167-8655(97)00087-1
https://doi.org/10.1016/s0167-8655(97)00087-1
Autor:
Russell E. Hillsley, Raymond E. Ideker, Patrick D. Wolf, D. L. Rollins, William M. Smith, Kurt D. Bollacker, Michael D. Yarger, E.V. Simpson
Publikováno v:
Journal of Cardiovascular Electrophysiology. 6:471-485
Adrenergic Effects on VF. Introduction: We hypothesized that drugs which alter ventricular refractoriness or excitability produce quantifiable changes in ventricular fibrillation. Methods and Results: We used a 528-channel mapping system to quantify
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9e92d065595f1425b135862d4003570d
https://doi.org/10.1111/j.1540-8167.1995.tb00420.x
https://doi.org/10.1111/j.1540-8167.1995.tb00420.x
Autor:
K.M. Kavanagh, Raymond E. Ideker, Gregory P. Walcott, William M. Smith, G. A. Johnson, Kurt D. Bollacker, E.V. Simpson
Publikováno v:
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society Volume 13: 1991.
A three-dimensional cellular automata model of activation wavefront propagation in ventricular cardiac tissue was created. The model geometry was obtained from magnetic resonance (MR) images of a canine heart which was used in a ventricular fibrillat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3a696ea9f1db14a30ac2f2063e687a3a
https://doi.org/10.1109/iembs.1991.684115
https://doi.org/10.1109/iembs.1991.684115
Autor:
E.V. Simpson, Russell E. Hillsley, Kurt D. Bollacker, Raymond E. Ideker, Warren Smith, S.M. Blanchard
Publikováno v:
Proceedings of Computers in Cardiology Conference.
Cardiac activation sequences are normally determined by the detection and timing of local activations in cardiac electrograms, but assigning of a unique activation time, especially during ventricular fibrillation (VF), is often difficult. Even if dis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c02f911fce909fbf06d4df204a39d250
https://doi.org/10.1109/cic.1993.378472
https://doi.org/10.1109/cic.1993.378472
Autor:
Kurt D. Bollacker, Joydeep Ghosh
Publikováno v:
ICNN
Presents and evaluates two linear feature extractors based on mutual information. These feature extractors consider general dependencies between features and class labels, as opposed to statistical techniques such as PCA which does not consider class
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2a0f2a33131dc6a419b2bf69f6e594c5
https://doi.org/10.1109/icnn.1996.549127
https://doi.org/10.1109/icnn.1996.549127
Publikováno v:
[1990] Proceedings Computers in Cardiology.
A cellular automata model of cardiac tissue is created which overcomes many of the limits of previous models. Rather than simply simulating one or a few aspects of tissue behavior, this model is generalized to include the possibility of a vast array
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1694d6b0b0dc4e8e5fbee636831c36d8
https://doi.org/10.1109/cic.1990.144271
https://doi.org/10.1109/cic.1990.144271
Autor:
Joydeep Ghosh, Kurt D. Bollacker
Publikováno v:
1998 IEEE International Joint Conference on Neural Networks Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36227).
We (1997) have introduced a framework for the reuse of knowledge from previously trained classifiers to improve performance in a current, possibly related classification task. This framework requires the use of a supra-classifier, which makes a class
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::be1308e1bd91c9894e17c710d0555f86
https://doi.org/10.1109/ijcnn.1998.685981
https://doi.org/10.1109/ijcnn.1998.685981
Autor:
Joydeep Ghosh, Kurt D. Bollacker
Publikováno v:
ICNN
Just as a person's life-long experience helps him/her in novel tasks, it would be useful to leverage the knowledge in previously trained classifiers in learning future classification tasks that may be related. We present a maximum posterior probabili
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::344c67f734083d8a12bc2bce04e2d391
https://doi.org/10.1109/icnn.1997.614014
https://doi.org/10.1109/icnn.1997.614014
