-
2
-
-
0020960303
-
A prevalent persistent global nonrandomness that distinguishes coding and non-coding eucaryotic nuclear DNA sequence
-
Blaisdell B.E. A prevalent persistent global nonrandomness that distinguishes coding and non-coding eucaryotic nuclear DNA sequence. J. Mol. Evol. 19 2 (1983) 122-133
-
(1983)
J. Mol. Evol.
, vol.19
, Issue.2
, pp. 122-133
-
-
Blaisdell, B.E.1
-
3
-
-
0017782442
-
Ovalbumin gene is split in chicken DNA
-
Breathnach R.J., Mandel J.L., and Chambon P. Ovalbumin gene is split in chicken DNA. Nature 270 5635 (1977) 314-319
-
(1977)
Nature
, vol.270
, Issue.5635
, pp. 314-319
-
-
Breathnach, R.J.1
Mandel, J.L.2
Chambon, P.3
-
4
-
-
0003802343
-
-
Wadsworth, Belmont
-
Breiman L., Friedman J.H., Olshen R.A., and Stone C.J. Classification and Regression Trees (1984), Wadsworth, Belmont
-
(1984)
Classification and Regression Trees
-
-
Breiman, L.1
Friedman, J.H.2
Olshen, R.A.3
Stone, C.J.4
-
5
-
-
0002607026
-
Bayesian classification (AutoClass): theory and results
-
Fayyad U.M., Piatetsky-Shapiro G., Smith P., and Uthurusamy R. (Eds), AAAI/MIT Press, Cambridge, MA
-
Cheeseman P., and Stutz J. Bayesian classification (AutoClass): theory and results. In: Fayyad U.M., Piatetsky-Shapiro G., Smith P., and Uthurusamy R. (Eds). Advances in Knowledge Discovery and Data Mining (1996), AAAI/MIT Press, Cambridge, MA 153-180
-
(1996)
Advances in Knowledge Discovery and Data Mining
, pp. 153-180
-
-
Cheeseman, P.1
Stutz, J.2
-
6
-
-
0026736363
-
Determination of Eucaryotic protein coding regions using neural networks and information theory
-
Farber R., Lapedes A., and Sirotkin K. Determination of Eucaryotic protein coding regions using neural networks and information theory. J. Mol. Biol. 226 2 (1992) 471-479
-
(1992)
J. Mol. Biol.
, vol.226
, Issue.2
, pp. 471-479
-
-
Farber, R.1
Lapedes, A.2
Sirotkin, K.3
-
7
-
-
0020480512
-
Recognition of protein coding regions in DNA sequences
-
Fickett J. Recognition of protein coding regions in DNA sequences. Nucleic Acids Res. 10 17 (1982) 5303-5318
-
(1982)
Nucleic Acids Res.
, vol.10
, Issue.17
, pp. 5303-5318
-
-
Fickett, J.1
-
8
-
-
0027059264
-
Assessment of protein coding measures
-
Fickett J., and Tung C.S. Assessment of protein coding measures. Nucleic Acids Res. 20 24 (1992) 6441-6450
-
(1992)
Nucleic Acids Res.
, vol.20
, Issue.24
, pp. 6441-6450
-
-
Fickett, J.1
Tung, C.S.2
-
11
-
-
0003722376
-
-
Optimizations and Machine Learning, Morgan Kaufmann, Los Atlos, CA
-
Goldberg D.E. Genetic Algorithms in Search (1989), Optimizations and Machine Learning, Morgan Kaufmann, Los Atlos, CA
-
(1989)
Genetic Algorithms in Search
-
-
Goldberg, D.E.1
-
12
-
-
0026953218
-
Classification trees with neural network feature extraction
-
Guo H., and Gelfand S.B. Classification trees with neural network feature extraction. IEEE Trans. Neural Networks 3 6 (1992) 923-933
-
(1992)
IEEE Trans. Neural Networks
, vol.3
, Issue.6
, pp. 923-933
-
-
Guo, H.1
Gelfand, S.B.2
-
14
-
-
0027542839
-
Data-driven discovery of quantitative rules in relational databases
-
Han J., Cai Y., and Cercone N. Data-driven discovery of quantitative rules in relational databases. IEEE Trans. Knowl. Data Eng. 5 1 (1993) 29-40
-
(1993)
IEEE Trans. Knowl. Data Eng.
, vol.5
, Issue.1
, pp. 29-40
-
-
Han, J.1
Cai, Y.2
Cercone, N.3
-
15
-
-
0002479811
-
Exploration of the Power of Attribute-Oriented Induction in Data Mining
-
Fayyad U.M., Piatetsky-Shapiro G., Smith P., and Uthurusamy R. (Eds), AAAI, MIT Press, Cambridge, MA
-
Han J., and Fu Y. Exploration of the Power of Attribute-Oriented Induction in Data Mining. In: Fayyad U.M., Piatetsky-Shapiro G., Smith P., and Uthurusamy R. (Eds). Advances in Knowledge Discovery and Data Mining (1996), AAAI, MIT Press, Cambridge, MA 399-421
-
(1996)
Advances in Knowledge Discovery and Data Mining
, pp. 399-421
-
-
Han, J.1
Fu, Y.2
-
16
-
-
33947207519
-
-
Data Mining, Morgan Kaufmann, Los Atlos, CA
-
Han J., Kamber M., and Data Mining. Concepts and Techniques (2001), Morgan Kaufmann, Los Atlos, CA
-
(2001)
Concepts and Techniques
-
-
Han, J.1
Kamber, M.2
-
17
-
-
0003979924
-
-
Santa Fe Institute Studies in the Sciences of Complexity, Addison Wesley, Reading, MA
-
Hertz J., Krogh A., and Palmer R.G. Introduction to the theory of neural computation (1991), Santa Fe Institute Studies in the Sciences of Complexity, Addison Wesley, Reading, MA
-
(1991)
Introduction to the theory of neural computation
-
-
Hertz, J.1
Krogh, A.2
Palmer, R.G.3
-
19
-
-
38649126518
-
-
Genetic Programming-I, Cambridge, MA (Fourth Printing)
-
Koza J.R., and Genetic Programming-I. The MIT Press (1994), Cambridge, MA (Fourth Printing)
-
(1994)
The MIT Press
-
-
Koza, J.R.1
-
21
-
-
2142716794
-
Theory and application of cellular automata for pattern classification
-
Maji P., Shaw C., Ganguly N., Sikdar B.K., and Chaudhuri P.P. Theory and application of cellular automata for pattern classification. Fundamenta Informaticae 58 3-4 (2003) 321-354
-
(2003)
Fundamenta Informaticae
, vol.58
, Issue.3-4
, pp. 321-354
-
-
Maji, P.1
Shaw, C.2
Ganguly, N.3
Sikdar, B.K.4
Chaudhuri, P.P.5
-
24
-
-
0003418739
-
-
Morgan Kaufmann, Los Atlos, CA
-
Michalski R.S., Carbonnel J.M., and Mitchell T.M. Machine Learning: An Artificial Intelligence Approach (1983), Morgan Kaufmann, Los Atlos, CA
-
(1983)
Machine Learning: An Artificial Intelligence Approach
-
-
Michalski, R.S.1
Carbonnel, J.M.2
Mitchell, T.M.3
-
25
-
-
0003612091
-
-
Ellis Horwood, Chichesten, UK
-
Michie D., Spiegelhalter D.J., and Taylor C.C. Machine Learning, Neural and Statistical Classification (1994), Ellis Horwood, Chichesten, UK
-
(1994)
Machine Learning, Neural and Statistical Classification
-
-
Michie, D.1
Spiegelhalter, D.J.2
Taylor, C.C.3
-
26
-
-
0023108498
-
Expert systems-Rule induction with statistical data
-
Mingers J. Expert systems-Rule induction with statistical data. J. Oper. Res. Soc. 38 1 (1987) 39-47
-
(1987)
J. Oper. Res. Soc.
, vol.38
, Issue.1
, pp. 39-47
-
-
Mingers, J.1
-
27
-
-
0000531852
-
Generalization as search
-
Mitchell T.M. Generalization as search. Artif. Intell. 18 (1982) 203-226
-
(1982)
Artif. Intell.
, vol.18
, pp. 203-226
-
-
Mitchell, T.M.1
-
29
-
-
0027709263
-
-
S.K. Murthy, S. Kasif, S. Salzberg, R. Beigel, OC1 randomized induction of oblique decision trees, Proceedings of the 11th National Conference on Artificial Intelligence, The AAAI Press, The MIT Press, Cambridge, MA, 1993, pp. 322-327.
-
S.K. Murthy, S. Kasif, S. Salzberg, R. Beigel, OC1 randomized induction of oblique decision trees, Proceedings of the 11th National Conference on Artificial Intelligence, The AAAI Press, The MIT Press, Cambridge, MA, 1993, pp. 322-327.
-
-
-
-
30
-
-
0002433547
-
From data mining to knowledge discovery: an overview
-
Fayyad U.M., Piatetsky-Shapiro G., Smith P., and Uthurusamy R. (Eds), AAAI, MIT Press, Cambridge, MA
-
Piatetsky-Shapiro G., Fayyad U., and Smith P. From data mining to knowledge discovery: an overview. In: Fayyad U.M., Piatetsky-Shapiro G., Smith P., and Uthurusamy R. (Eds). Advances in Knowledge Discovery and Data Mining (1996), AAAI, MIT Press, Cambridge, MA 1-35
-
(1996)
Advances in Knowledge Discovery and Data Mining
, pp. 1-35
-
-
Piatetsky-Shapiro, G.1
Fayyad, U.2
Smith, P.3
-
31
-
-
0004021178
-
-
AAAI, MIT Press, Cambridge, MA
-
Piatetsky-Shapiro G., and Frawley W.J. Knowledge Discovery in Databases (1991), AAAI, MIT Press, Cambridge, MA
-
(1991)
Knowledge Discovery in Databases
-
-
Piatetsky-Shapiro, G.1
Frawley, W.J.2
-
33
-
-
0033343363
-
ANN-DT: an algorithm for extraction of decision trees from artificial neural networks
-
Schmitz G.P., Aldrich C., and Gouws F.S. ANN-DT: an algorithm for extraction of decision trees from artificial neural networks. IEEE Trans. Neural Networks 10 6 (1999) 1392-1401
-
(1999)
IEEE Trans. Neural Networks
, vol.10
, Issue.6
, pp. 1392-1401
-
-
Schmitz, G.P.1
Aldrich, C.2
Gouws, F.S.3
-
34
-
-
0025508354
-
Entropy nets: from decision trees to neural networks
-
Sethi I.K. Entropy nets: from decision trees to neural networks. Proc. IEEE 78 10 (1990) 1605-1613
-
(1990)
Proc. IEEE
, vol.78
, Issue.10
, pp. 1605-1613
-
-
Sethi, I.K.1
-
35
-
-
0031268251
-
Structure-driven induction of decision tree classifiers through neural learning
-
Sethi I.K., and Yoo J.H. Structure-driven induction of decision tree classifiers through neural learning. Pattern Recognition 30 11 (1997) 1893-1904
-
(1997)
Pattern Recognition
, vol.30
, Issue.11
, pp. 1893-1904
-
-
Sethi, I.K.1
Yoo, J.H.2
-
36
-
-
38649138282
-
-
J. Shafer, R. Agrawal, M. Mehta, SPRINT: a scalable parallel classifier for data mining, in: Proceedings of 22nd VLDB Conference, 1996.
-
J. Shafer, R. Agrawal, M. Mehta, SPRINT: a scalable parallel classifier for data mining, in: Proceedings of 22nd VLDB Conference, 1996.
-
-
-
-
38
-
-
0032071920
-
A self-organizing neural network tree for large-set pattern classification
-
Song H.H., and Lee S.W. A self-organizing neural network tree for large-set pattern classification. IEEE Trans. Neural Networks 9 6 (1998) 369-380
-
(1998)
IEEE Trans. Neural Networks
, vol.9
, Issue.6
, pp. 369-380
-
-
Song, H.H.1
Lee, S.W.2
-
40
-
-
0033742671
-
Extracting rules from trained neural networks
-
Tsukimoto H. Extracting rules from trained neural networks. IEEE Trans. Neural Networks 11 2 (2000) 377-389
-
(2000)
IEEE Trans. Neural Networks
, vol.11
, Issue.2
, pp. 377-389
-
-
Tsukimoto, H.1
-
41
-
-
0026351408
-
Locating protein-coding regions in human DNA sequences by a multiple sensor-neural network approach
-
Uberbacher E., and Mural R. Locating protein-coding regions in human DNA sequences by a multiple sensor-neural network approach. Proc. Natl. Acad. Sci. USA 88 24 (1991) 11261-11265
-
(1991)
Proc. Natl. Acad. Sci. USA
, vol.88
, Issue.24
, pp. 11261-11265
-
-
Uberbacher, E.1
Mural, R.2
-
42
-
-
38649102133
-
-
Q.F. Zhao, Neural network tree: integration of symbolic and nonsymbolic approaches, Vol. NC2000-57, Technical Report of IEICE, 2000.
-
Q.F. Zhao, Neural network tree: integration of symbolic and nonsymbolic approaches, Vol. NC2000-57, Technical Report of IEICE, 2000.
-
-
-
-
43
-
-
0034863699
-
-
Q.F. Zhao, Evolutionary design of neural network tree: integration of decision tree, neural network and GA, in: Proceedings of IEEE Congress on Evolutionary Computation 2001, pp. 240-244
-
Q.F. Zhao, Evolutionary design of neural network tree: integration of decision tree, neural network and GA, in: Proceedings of IEEE Congress on Evolutionary Computation 2001, pp. 240-244
-
-
-
-
44
-
-
0034844582
-
-
Q.F. Zhao, Training and retraining of neural network trees, in: Proceedings of INNS-IEEE International Joint Conference on Neural Networks, 2001, pp. 726-731.
-
Q.F. Zhao, Training and retraining of neural network trees, in: Proceedings of INNS-IEEE International Joint Conference on Neural Networks, 2001, pp. 726-731.
-
-
-
|