-
1
-
-
84958631565
-
ELEM2: A learning system for more accurate classifications
-
R.E. Mercer, Neufeld E. Berlin: Springer-Verlag
-
An A., Cercone N. ELEM2: a learning system for more accurate classifications. Mercer R.E., Neufeld E. Lecture notes in artificial intelligence. vol. 1418:1998;426-441 Springer-Verlag, Berlin.
-
(1998)
Lecture Notes in Artificial Intelligence
, vol.1418
, pp. 426-441
-
-
An, A.1
Cercone, N.2
-
2
-
-
85033152836
-
Growing layers of perceptrons; Introducing the extentron algorithm
-
Baltimore
-
Baffes, P. T., & Zelle, J. M. (1992). Growing layers of perceptrons; Introducing the extentron algorithm. In International Joint Conference on Neural Networks (vol. 2, pp. 392-397). Baltimore.
-
(1992)
In International Joint Conference on Neural Networks
, vol.2
, pp. 392-397
-
-
Baffes, P.T.1
Zelle, J.M.2
-
3
-
-
0042120077
-
The patch algorithm: Fast design of binary feedforward neural networks
-
Barkema G.T., Andree H.M.A., Taal A. The patch algorithm: fast design of binary feedforward neural networks. Network. 5:1993;393-407.
-
(1993)
Network
, vol.5
, pp. 393-407
-
-
Barkema, G.T.1
Andree, H.M.A.2
Taal, A.3
-
4
-
-
0342602870
-
-
C. Gorini, E. Hart, W. Meyer, & T. Phillips. Washington DC: Mathematical Association of America
-
Bennett K.P., Bredensteiner E.J. Gorini C., Hart E., Meyer W., Phillips T. Geometry at work. 1998;Mathematical Association of America, Washington DC.
-
(1998)
Geometry at Work
-
-
Bennett, K.P.1
Bredensteiner, E.J.2
-
5
-
-
0012854245
-
Tilinglike learning in the parity machine
-
Biehl M., Opper M. Tilinglike learning in the parity machine. Physical Review A. 44:(10):1991;6888-6894.
-
(1991)
Physical Review a
, vol.44
, Issue.10
, pp. 6888-6894
-
-
Biehl, M.1
Opper, M.2
-
9
-
-
0024121788
-
Gradient descent fails to separate
-
Brady, M., Raghavan, R., & Slawny, J. (1988). Gradient descent fails to separate. In Proceedings of the IEEE International Conference on Neural Networks (vol. 1, pp. 649-656).
-
(1988)
In Proceedings of the IEEE International Conference on Neural Networks
, vol.1
, pp. 649-656
-
-
Brady, M.1
Raghavan, R.2
Slawny, J.3
-
11
-
-
0003802343
-
-
Monterey, CA: Wadsworth International
-
Breiman L., Friedman J.H., Olsen R.A., Stone C.J. Classification and regression trees. 1984;Wadsworth International, Monterey, CA.
-
(1984)
Classification and Regression Trees
-
-
Breiman, L.1
Friedman, J.H.2
Olsen, R.A.3
Stone, C.J.4
-
12
-
-
0000621802
-
Multivariable functional interpolation and adaptive networks
-
Broomhead D.S., Lowe D. Multivariable functional interpolation and adaptive networks. Complex Systems. 2:1988;321-323.
-
(1988)
Complex Systems
, vol.2
, pp. 321-323
-
-
Broomhead, D.S.1
Lowe, D.2
-
14
-
-
0029411712
-
The target switch algorithm: A constructive learning procedure for feed-forward neural networks [Letter]
-
Campbell C., Vicente C.P. The target switch algorithm: a constructive learning procedure for feed-forward neural networks [Letter]. Neural Computation. 7:(6):1995;1245-1264.
-
(1995)
Neural Computation
, vol.7
, Issue.6
, pp. 1245-1264
-
-
Campbell, C.1
Vicente, C.P.2
-
15
-
-
34249966007
-
The CN2 induction algorithm
-
Clark P., Niblett T. The CN2 induction algorithm. Machine Learning. 3:1989;261-283.
-
(1989)
Machine Learning
, vol.3
, pp. 261-283
-
-
Clark, P.1
Niblett, T.2
-
16
-
-
0028201982
-
Three algorithms for estimating the domain of validity of feedforward neural networks
-
Courrieu P. Three algorithms for estimating the domain of validity of feedforward neural networks. Neural Networks. 7:(1):1994;169-174.
-
(1994)
Neural Networks
, vol.7
, Issue.1
, pp. 169-174
-
-
Courrieu, P.1
-
17
-
-
0343037104
-
The constraint based decomposition training architecture
-
San Diego, CA
-
Draghici, S. (1994). The constraint based decomposition training architecture. In Proceedings of World Congress on Neural Networks (vol. 3, pp. 545-555). San Diego, CA.
-
(1994)
In Proceedings of World Congress on Neural Networks
, vol.3
, pp. 545-555
-
-
Draghici, S.1
-
21
-
-
0031295420
-
A VLSI optimal constructive algorithm for classification problems
-
New York: ASME Press
-
Draghici, S., Beiu, V., & Sethi, I. (1997). A VLSI optimal constructive algorithm for classification problems. In Smart engineering systems: neural networks, fuzzy logic, data mining and evolutionary programming (pp. 141-151). New York: ASME Press.
-
(1997)
In Smart Engineering Systems: Neural Networks, Fuzzy Logic, Data Mining and Evolutionary Programming
, pp. 141-151
-
-
Draghici, S.1
Beiu, V.2
Sethi, I.3
-
22
-
-
84957691661
-
Cascade error projection: A learning algorithm for hardware implementation
-
J. Mira, & J.V. Sánchez-Andrées. Berlin: Springer-Verlag
-
Duong T.A., Daud T. Cascade error projection: a learning algorithm for hardware implementation. Mira J., Sánchez-Andrées J.V. Foundations and tools for neural modeling, Lecture Notes in Computer Science. 1999;450-457 Springer-Verlag, Berlin.
-
(1999)
Foundations and Tools for Neural Modeling, Lecture Notes in Computer Science
, pp. 450-457
-
-
Duong, T.A.1
Daud, T.2
-
24
-
-
0001086881
-
The recurrent cascade-correlation architecture
-
R.P. Lippmann, J.E. Moody, & D.S. Touretzky. Denver, CO: Morgan Kaufmann
-
Fahlman S.E. The recurrent cascade-correlation architecture. Lippmann R.P., Moody J.E., Touretzky D.S. Advances in neural information processing systems 3. 1991;190-196 Morgan Kaufmann, Denver, CO.
-
(1991)
Advances in Neural Information Processing Systems 3
, pp. 190-196
-
-
Fahlman, S.E.1
-
27
-
-
0004259250
-
-
New York: Oxford University Press and The Inst. of Physics. Publ
-
Fiesler E., Beale R. Handbook of neural computation. 1996;Oxford University Press and The Inst. of Physics. Publ, New York.
-
(1996)
Handbook of Neural Computation
-
-
Fiesler, E.1
Beale, R.2
-
29
-
-
0000783575
-
The Upstart algorithm: A method for constructing and training feedforward neural networks
-
Frean M. The Upstart algorithm: a method for constructing and training feedforward neural networks. Neural Computation. 2:1990;198-209.
-
(1990)
Neural Computation
, vol.2
, pp. 198-209
-
-
Frean, M.1
-
31
-
-
0031703115
-
Dynamic constructive fault tolerant algorithm for feedforward neural networks
-
Hammadi N., Ohmaneunda T., Kaneo K., Ito H. Dynamic constructive fault tolerant algorithm for feedforward neural networks. IEICE Transactions on Information and Systems. E81D:(1):1998;115-123.
-
(1998)
IEICE Transactions on Information and Systems
, vol.81
, Issue.1
, pp. 115-123
-
-
Hammadi, N.1
Ohmaneunda, T.2
Kaneo, K.3
Ito, H.4
-
32
-
-
0002185915
-
Induction of oblique decision tree
-
Washington, DC
-
Heath, S. K. D., & Salzberg, S. (1993). Induction of oblique decision tree. In IJCAI-93, Washington, DC.
-
(1993)
In IJCAI-93
-
-
Heath, S.K.D.1
Salzberg, S.2
-
34
-
-
0030108039
-
The Cascade-Correlation learning: A projection pursuit learning perspective
-
Hwang J.-N., You S.-S., Lay S.-R., Jou I.-C. The Cascade-Correlation learning: a projection pursuit learning perspective. IEEE Transactions on Neural Networks. 7:(2):1996;278-289.
-
(1996)
IEEE Transactions on Neural Networks
, vol.7
, Issue.2
, pp. 278-289
-
-
Hwang, J.-N.1
You, S.-S.2
Lay, S.-R.3
Jou, I.-C.4
-
35
-
-
0026896593
-
Learning with limited numerical precision using the Cascade-Correlation algorithm
-
Höhfeld M., Fahlman S.E. Learning with limited numerical precision using the Cascade-Correlation algorithm. IEEE Transactions on Neural Networks. 3:(4):1992;602-611.
-
(1992)
IEEE Transactions on Neural Networks
, vol.3
, Issue.4
, pp. 602-611
-
-
Höhfeld, M.1
Fahlman, S.E.2
-
36
-
-
0003026625
-
Big omicron and big omega and big theta
-
Knuth D.E. Big omicron and big omega and big theta. SIGACT News. 8:(2):1976;18-24.
-
(1976)
SIGACT News
, vol.8
, Issue.2
, pp. 18-24
-
-
Knuth, D.E.1
-
37
-
-
0024168388
-
Learning vector quantization
-
Kohonen T. Learning vector quantization. Neural Networks. 1:(Suppl. 1):1988;303.
-
(1988)
Neural Networks
, vol.1
, Issue.SUPPL. 1
, pp. 303
-
-
Kohonen, T.1
-
39
-
-
0031146959
-
Constructive algorithms for structuring learning in feedforward neural networks for regression problems
-
Kwok T.-Y., Yeung D.-Y. Constructive algorithms for structuring learning in feedforward neural networks for regression problems. IEEE Transactions on Neural Networks. 8:(3):1997;630-645.
-
(1997)
IEEE Transactions on Neural Networks
, vol.8
, Issue.3
, pp. 630-645
-
-
Kwok, T.-Y.1
Yeung, D.-Y.2
-
40
-
-
0031236099
-
Objective functions for training new hidden units in constructive neural networks
-
Kwok T.Y., Yeung D.Y. Objective functions for training new hidden units in constructive neural networks. IEEE Transactions on Neural Networks. 8:(5):1997;1131-1148.
-
(1997)
IEEE Transactions on Neural Networks
, vol.8
, Issue.5
, pp. 1131-1148
-
-
Kwok, T.Y.1
Yeung, D.Y.2
-
42
-
-
0033097130
-
Fast initialization for cascade-correlation learning [Brief paper]
-
Lehtokangas M. Fast initialization for cascade-correlation learning [Brief paper]. IEEE-NN. 10:(2):1999;410.
-
(1999)
IEEE-NN
, vol.10
, Issue.2
, pp. 410
-
-
Lehtokangas, M.1
-
43
-
-
0032298859
-
Improvement of cascade correlation learning algorithm with an evolutionary initialization
-
Liang H., Dai G.L. Improvement of cascade correlation learning algorithm with an evolutionary initialization. Information Sciences. 112:(1-4):1998;1-6.
-
(1998)
Information Sciences
, vol.112
, Issue.14
, pp. 1-6
-
-
Liang, H.1
Dai, G.L.2
-
44
-
-
84956226983
-
A convergence theorem for sequential learning in two-layer perceptrons
-
Marchand M., Golea M., Rújan P. A convergence theorem for sequential learning in two-layer perceptrons. Europhysics Letters. 11:(6):1990;487-492.
-
(1990)
Europhysics Letters
, vol.11
, Issue.6
, pp. 487-492
-
-
Marchand, M.1
Golea, M.2
Rújan, P.3
-
45
-
-
36149031331
-
Learning in feedforward layered networks: The tiling algorithm
-
Mezard M., Nadal J.P. Learning in feedforward layered networks: the tiling algorithm. J. Phys. A: Math. Gen. 22:1989;2191-2203.
-
(1989)
J. Phys. A: Math. Gen.
, vol.22
, pp. 2191-2203
-
-
Mezard, M.1
Nadal, J.P.2
-
46
-
-
0002056465
-
Version spaces: A candidate elimination approach to rule learning
-
Mitchell T.M. Version spaces: a candidate elimination approach to rule learning. IJCAI. 1:1977;1139-1151.
-
(1977)
IJCAI
, vol.1
, pp. 1139-1151
-
-
Mitchell, T.M.1
-
48
-
-
0000672424
-
Fast learning in networks of locally-tuned processing units
-
Moody J., Darken C.J. Fast learning in networks of locally-tuned processing units. Neural Computation. 1:1989;281-294.
-
(1989)
Neural Computation
, vol.1
, pp. 281-294
-
-
Moody, J.1
Darken, C.J.2
-
50
-
-
0027709263
-
OCI: randomized induction of oblique decision trees
-
Washington, DC
-
Murthy, S. K., Kasif, S., Salzberg, S., & Beigel, R. (1993). OCI: randomized induction of oblique decision trees. In Proceedings of the Eleventh National Conference on Artificial Intelligence (pp. 322-327). Washington, DC.
-
(1993)
In Proceedings of the Eleventh National Conference on Artificial Intelligence
, pp. 322-327
-
-
Murthy, S.K.1
Kasif, S.2
Salzberg, S.3
Beigel, R.4
-
51
-
-
0026898938
-
On the training of radial basis function classifiers
-
Musavi M., Ahmed W., Chan K.H., Faris K., Hummels D. On the training of radial basis function classifiers. Neural Networks. 5:1992;595-603.
-
(1992)
Neural Networks
, vol.5
, pp. 595-603
-
-
Musavi, M.1
Ahmed, W.2
Chan, K.H.3
Faris, K.4
Hummels, D.5
-
52
-
-
0029306954
-
On sequential construction of binary neural networks
-
Muselli M. On sequential construction of binary neural networks. IEEE Transactions on Neural Networks. 6:1995;678-690.
-
(1995)
IEEE Transactions on Neural Networks
, vol.6
, pp. 678-690
-
-
Muselli, M.1
-
53
-
-
0012405584
-
-
(Postscript). Department of Computer Science, Iowa State University, Ames, Iowa: Tech. Rep. ISU-CS-TR 95-15
-
Parekh, R. G., Yang, J., & Honavar, V. (1995). Constructive neural network learning algorithms for multi-category pattern classification (Postscript). Department of Computer Science, Iowa State University, Ames, Iowa: Tech. Rep. ISU-CS-TR 95-15.
-
(1995)
Constructive Neural Network Learning Algorithms for Multi-category Pattern Classification
-
-
Parekh, R.G.1
Yang, J.2
Honavar, V.3
-
54
-
-
0033742041
-
Constructive neural-network learning algorithms for pattern classification
-
Parekh R., Yang J., Honavar V. Constructive neural-network learning algorithms for pattern classification. IEEE Transactions on Neural Networks. 11:(2):2000;436.
-
(2000)
IEEE Transactions on Neural Networks
, vol.11
, Issue.2
, pp. 436
-
-
Parekh, R.1
Yang, J.2
Honavar, V.3
-
55
-
-
0025490985
-
Networks for approximation and learning
-
Poggio T., Girosi F. Networks for approximation and learning. Proceedings of IEEE. 78:(9):1990;1481-1497.
-
(1990)
Proceedings of IEEE
, vol.78
, Issue.9
, pp. 1481-1497
-
-
Poggio, T.1
Girosi, F.2
-
56
-
-
0031193357
-
Investigation of the cascor family of learning algorithms
-
Prechelt L. Investigation of the cascor family of learning algorithms. Neural Networks. 10:(5):1997;885-896.
-
(1997)
Neural Networks
, vol.10
, Issue.5
, pp. 885-896
-
-
Prechelt, L.1
-
60
-
-
0344016094
-
A tool-box for analysis and visualization of sensor data in supervision
-
Toulouse, France
-
Rauber, T. W., Barata, M. M., & Steiger-Garcao, A. (1993). A tool-box for analysis and visualization of sensor data in supervision. In Proceedings of International Conference of Fault Diagnosis, Toulouse, France.
-
(1993)
In Proceedings of International Conference of Fault Diagnosis
-
-
Rauber, T.W.1
Barata, M.M.2
Steiger-Garcao, A.3
-
61
-
-
0027809638
-
Divide and conquer neural networks
-
Romaniuk S.T., Hall L.O. Divide and conquer neural networks. Neural Networks. 6:1993;1105-1116.
-
(1993)
Neural Networks
, vol.6
, pp. 1105-1116
-
-
Romaniuk, S.T.1
Hall, L.O.2
-
62
-
-
0004986793
-
Learning by minimizing resources in neural networks
-
Rújan P., Marchand M. Learning by minimizing resources in neural networks. Complex Systems. 3:1989;229-241.
-
(1989)
Complex Systems
, vol.3
, pp. 229-241
-
-
Rújan, P.1
Marchand, M.2
-
63
-
-
0025508354
-
Entropy nets: From decision trees to neural networks
-
Sethi I.K. Entropy nets: from decision trees to neural networks. Proceedings of the IEEE. 78:1990;1605-1613.
-
(1990)
Proceedings of the IEEE
, vol.78
, pp. 1605-1613
-
-
Sethi, I.K.1
-
64
-
-
0025536869
-
Comparison between entropy nets and decision tree classifiers
-
San Diego, CA
-
Sethi, I., & Otten, M. (1990). Comparison between entropy nets and decision tree classifiers. In International Joint Conference on Neural Networks (vol. 3, pp. 41-46). San Diego, CA.
-
(1990)
In International Joint Conference on Neural Networks
, vol.3
, pp. 41-46
-
-
Sethi, I.1
Otten, M.2
-
65
-
-
0026017007
-
Creating artificial neural networks that generalise
-
Siestma J., Dow R.J.F. Creating artificial neural networks that generalise. Neural Networks. 4:1991;67-79.
-
(1991)
Neural Networks
, vol.4
, pp. 67-79
-
-
Siestma, J.1
Dow, R.J.F.2
-
66
-
-
1542639878
-
The Upstart algorithm: A method for constructing and training feedforward neural networks
-
Sirat J.A., Nadal J.P. The Upstart algorithm: a method for constructing and training feedforward neural networks. Networks: Computation in Neural Systems. 1:(4):1990;423-438.
-
(1990)
Networks: Computation in Neural Systems
, vol.1
, Issue.4
, pp. 423-438
-
-
Sirat, J.A.1
Nadal, J.P.2
-
67
-
-
0027274189
-
Neural network constructive algorithms: Trading generalization for learning efficiency?
-
Śmieja F.J. Neural network constructive algorithms: trading generalization for learning efficiency? Circuits Systems Signal Processing. 12:(2):1993;331-374.
-
(1993)
Circuits Systems Signal Processing
, vol.12
, Issue.2
, pp. 331-374
-
-
Śmieja, F.J.1
-
68
-
-
0029032235
-
Parallelizing the cascade-correlation algorithm using time warp
-
Springer P.L., Gulati S. Parallelizing the cascade-correlation algorithm using time warp. Neural Networks. 8:(4):1995;571-577.
-
(1995)
Neural Networks
, vol.8
, Issue.4
, pp. 571-577
-
-
Springer, P.L.1
Gulati, S.2
-
69
-
-
0031099036
-
Cascade ARTMAP: Integrating neural computation and symbolic knowledge processing
-
Tan A.-H. Cascade ARTMAP: integrating neural computation and symbolic knowledge processing. IEEE Transactions on Neural Networks. 8:(2):1997;237-250.
-
(1997)
IEEE Transactions on Neural Networks
, vol.8
, Issue.2
, pp. 237-250
-
-
Tan, A.-H.1
-
70
-
-
0031208466
-
An efficient partition of training data set improves speed and accuracy of cascade-correlation algorithm
-
Tetko I.V., Villa A.E.P. An efficient partition of training data set improves speed and accuracy of cascade-correlation algorithm. Neural Processing Letters. 6:(1/2):1997;51-59.
-
(1997)
Neural Processing Letters
, vol.6
, Issue.1-2
, pp. 51-59
-
-
Tetko, I.V.1
Villa, A.E.P.2
-
71
-
-
0031212022
-
An enhancement of generalization ability in cascade correlation algorithm by avoidance of overfitting/overtraining problem
-
Tetko I.V., Villa A.E.P. An enhancement of generalization ability in cascade correlation algorithm by avoidance of overfitting/overtraining problem. Neural Processing Letters. 6:(1/2):1997;43-50.
-
(1997)
Neural Processing Letters
, vol.6
, Issue.1-2
, pp. 43-50
-
-
Tetko, I.V.1
Villa, A.E.P.2
-
72
-
-
0031208607
-
Two neural network construction methods
-
Thimm G., Fiesler E. Two neural network construction methods. Neural Processing Letters. 6:(1/2):1997;25-31.
-
(1997)
Neural Processing Letters
, vol.6
, Issue.1-2
, pp. 25-31
-
-
Thimm, G.1
Fiesler, E.2
-
74
-
-
22044436835
-
Constructing higher order neurons of increasing complexity in cascade networks
-
Treadgold N.K., Gedeon T.D. Constructing higher order neurons of increasing complexity in cascade networks. Lecture Notes in Computer Science. 1416:1998;557-563.
-
(1998)
Lecture Notes in Computer Science
, vol.1416
, pp. 557-563
-
-
Treadgold, N.K.1
Gedeon, T.D.2
-
75
-
-
0033332525
-
Exploring constructive cascade networks
-
Treadgold N.K., Gedeon T.D. Exploring constructive cascade networks. IEEE-NN. 10:(6):1999;1335.
-
(1999)
IEEE-NN
, vol.10
, Issue.6
, pp. 1335
-
-
Treadgold, N.K.1
Gedeon, T.D.2
-
76
-
-
84958054961
-
A constructive cascade network with adaptive regularization
-
to appear as Lecture Notes in Computer Science. J. Mira, & J. Sanchez-Andres. Alicante, Spain: Springer-Verlag
-
Treadgold N.K., Gedeon T.D. A constructive cascade network with adaptive regularization. to appear as Lecture Notes in Computer Science Mira J., Sanchez-Andres J. Proceedings of IWANN'99. 1999b;40-49 Springer-Verlag, Alicante, Spain.
-
(1999)
Proceedings of IWANN'99
, pp. 40-49
-
-
Treadgold, N.K.1
Gedeon, T.D.2
-
77
-
-
77952642202
-
Incremental induction of decision trees
-
Utgoff P.E. Incremental induction of decision trees. Machine Learning. 4:1989;161-186.
-
(1989)
Machine Learning
, vol.4
, pp. 161-186
-
-
Utgoff, P.E.1
-
78
-
-
0003831906
-
-
(Technical report no. UM-CS-1991-010), University of Massachusetts, Amherst, Computer Science
-
Utgoff, P. E., & Brodley, C. E. (1991). Linear machine decision trees (Technical report no. UM-CS-1991-010), University of Massachusetts, Amherst, Computer Science.
-
(1991)
Linear Machine Decision Trees
-
-
Utgoff, P.E.1
Brodley, C.E.2
-
79
-
-
0008864313
-
-
(Technical report no. 97-04). Amherst, MA: Department of Computer Science, University of Massachusetts
-
Utgoff, P. E., & Precup, D. (1997). Constructuve function approximation (Technical report no. 97-04). Amherst, MA: Department of Computer Science, University of Massachusetts.
-
(1997)
Constructuve Function Approximation
-
-
Utgoff, P.E.1
Precup, D.2
-
80
-
-
2342555200
-
Constructive function approximation
-
H. Liu, Motoda H. Norwell, MA: Kluwer Academic
-
Utgoff P.E., Precup D. Constructive function approximation. Liu H., Motoda H. Feature extraction, construction and selection: a data mining perspective. vol. 453:1998;Kluwer Academic, Norwell, MA.
-
(1998)
Feature Extraction, Construction and Selection: A Data Mining Perspective
, vol.453
-
-
Utgoff, P.E.1
Precup, D.2
-
81
-
-
0031246271
-
Decision tree induction based on efficient tree restructuring
-
Utgoff P.E., Berkman N.C., Clouse J.A. Decision tree induction based on efficient tree restructuring. Machine Learning. 29:1997;5-44.
-
(1997)
Machine Learning
, vol.29
, pp. 5-44
-
-
Utgoff, P.E.1
Berkman, N.C.2
Clouse, J.A.3
-
82
-
-
0031628574
-
DistAI: an interpattern distance-based constructive learning algorithm
-
Anchorage, Alaska
-
Yang, J., Parekh, R., & Honavar, V. (1998). DistAI: an interpattern distance-based constructive learning algorithm. In World Congress on Computational Intelligence (pp. 2208-2213). Anchorage, Alaska.
-
(1998)
In World Congress on Computational Intelligence
, pp. 2208-2213
-
-
Yang, J.1
Parekh, R.2
Honavar, V.3
-
84
-
-
0032207884
-
CARVE - A constructive algorithm for real-valued examples
-
Young S., Downs T. CARVE - a constructive algorithm for real-valued examples. IEEE Transactions on Neural Networks. 9:(6):1998;1180-1190.
-
(1998)
IEEE Transactions on Neural Networks
, vol.9
, Issue.6
, pp. 1180-1190
-
-
Young, S.1
Downs, T.2
|