-
2
-
-
0242706010
-
-
NCBI BLAST homepage
-
NCBI BLAST homepage. http://www.ncbi.nlm.nih.gov/BLAST/.
-
-
-
-
3
-
-
0027607617
-
A comparison of decision tree classifiers with backpropagation neural networks for multimodal classification problems
-
D.E. Brown, V. Corruble, and C.L. Pittard. A comparison of decision tree classifiers with backpropagation neural networks for multimodal classification problems. Pattern Recognition, 26(6):953-961, 1993.
-
(1993)
Pattern Recognition
, vol.26
, Issue.6
, pp. 953-961
-
-
Brown, D.E.1
Corruble, V.2
Pittard, C.L.3
-
4
-
-
0034233437
-
Neural networks with a continuous squashing function in the output are universal approximators
-
J. L. Castro, C. J. Mantas, and J. M. Benitez. Neural networks with a continuous squashing function in the output are universal approximators. Neural Networks, 13(6):561-563, 2000.
-
(2000)
Neural Networks
, vol.13
, Issue.6
, pp. 561-563
-
-
Castro, J.L.1
Mantas, C.J.2
Benitez, J.M.3
-
5
-
-
33750271121
-
Bagging-like effects for decision trees and neural nets in protein secondary structure prediction
-
N. Chawla, T.E. Moore, K.W. Bowyer, L.O. Hall, C. Springer, and W.P. Kegelmeyer. Bagging-like effects for decision trees and neural nets in protein secondary structure prediction. In BIOKDD01: Workshop on DataMining in Bioinformatics at KDD01, pages 50-59, 2001.
-
(2001)
BIOKDD01: Workshop on DataMining in Bioinformatics at KDD01
, pp. 50-59
-
-
Chawla, N.1
Moore, T.E.2
Bowyer, K.W.3
Hall, L.O.4
Springer, C.5
Kegelmeyer, W.P.6
-
6
-
-
0037235943
-
Distributed learning with bagging-like performance
-
N.V. Chawla, T.E. Moore, L.O. Hall, K.W. Bowyer, W.P. Kegelmeyer, and C. Springer. Distributed learning with bagging-like performance. Pattern Recognition Letters, 24(1-3):455-471, 2003.
-
(2003)
Pattern Recognition Letters
, vol.24
, Issue.1-3
, pp. 455-471
-
-
Chawla, N.V.1
Moore, T.E.2
Hall, L.O.3
Bowyer, K.W.4
Kegelmeyer, W.P.5
Springer, C.6
-
7
-
-
0034250160
-
An experimental comparison of three methods for constructing ensembles of decision trees: Bagging, boosting, and randomization
-
T. G. Dietterich. An experimental comparison of three methods for constructing ensembles of decision trees: Bagging, boosting, and randomization. Machine Learning, 40(2):139-158, 2000.
-
(2000)
Machine Learning
, vol.40
, Issue.2
, pp. 139-158
-
-
Dietterich, T.G.1
-
8
-
-
0037878134
-
A comparison of ID3 and backpropagation for english text-to-speech mapping
-
T.G. Dietterich, H. Hild, and G. Bakiri. A comparison of ID3 and backpropagation for english text-to-speech mapping. Machine Learning, 18(1):51-80, 1995.
-
(1995)
Machine Learning
, vol.18
, Issue.1
, pp. 51-80
-
-
Dietterich, T.G.1
Hild, H.2
Bakiri, G.3
-
9
-
-
0242621817
-
Is error-based pruning redeemable?
-
Sept; To Appear
-
L.O. Hall, K.W. Bowyer, R.E. Banfield, S. Eschrich, and R. Collins. Is error-based pruning redeemable? International Journal on Artificial Intelligence Tools, 12(3), Sept 2003. To Appear. http://www.csee.usf.edu/~hall/ictai02.pdf.
-
(2003)
International Journal on Artificial Intelligence Tools
, vol.12
, Issue.3
-
-
Hall, L.O.1
Bowyer, K.W.2
Banfield, R.E.3
Eschrich, S.4
Collins, R.5
-
10
-
-
0024880831
-
Multilayer feedforward networks are universal approximators
-
K. Hornik, M. Stinchcombe, and H. White. Multilayer feedforward networks are universal approximators. Neural Networks, 2:359-366, 1989.
-
(1989)
Neural Networks
, vol.2
, pp. 359-366
-
-
Hornik, K.1
Stinchcombe, M.2
White, H.3
-
11
-
-
0033578684
-
Protein secondary structure prediction based on decision-specific scoring matrices
-
D.T. Jones. Protein secondary structure prediction based on decision-specific scoring matrices. Journal of Molecular Biology, 292:195-202, 1999.
-
(1999)
Journal of Molecular Biology
, vol.292
, pp. 195-202
-
-
Jones, D.T.1
-
12
-
-
0242621816
-
-
Kdd cup
-
Kdd cup 2001. http://www.cs.wisc.edu/~page/kddcup2001/.
-
(2001)
-
-
-
13
-
-
0034274591
-
A comparison of prediction accuracy, complexity, and training time of thirty-three old and new classification algorithms
-
T-S Lim, W-Y Loh, and Y-S Shih. A comparison of prediction accuracy, complexity, and training time of thirty-three old and new classification algorithms. Machine Learning, 40(3):203-228, 2000.
-
(2000)
Machine Learning
, vol.40
, Issue.3
, pp. 203-228
-
-
Lim, T.-S.1
Loh, W.-Y.2
Shih, Y.-S.3
-
14
-
-
0002668777
-
An experimental comparison of symbolic and connectionist learning algorithms
-
R. Mooney, J. Shavlik, G. Towell, and A. Gove. An experimental comparison of symbolic and connectionist learning algorithms. In IJCAI-89 Proceedings of the Eleventh International Joint Conference on Artificial Intelligence, volume 1, pages 775-780, 1989.
-
(1989)
IJCAI-89 Proceedings of the Eleventh International Joint Conference on Artificial Intelligence
, vol.1
, pp. 775-780
-
-
Mooney, R.1
Shavlik, J.2
Towell, G.3
Gove, A.4
-
15
-
-
0034746283
-
A comparison between neural networks and decision trees based on data from industrial radiographic testing
-
Petra Perner, Uwe Zscherpel, and Carsten Jacobsen. A comparison between neural networks and decision trees based on data from industrial radiographic testing. Pattern Recognition Letters, 22(1):47-54, 2001.
-
(2001)
Pattern Recognition Letters
, vol.22
, Issue.1
, pp. 47-54
-
-
Perner, P.1
Zscherpel, U.2
Jacobsen, C.3
-
16
-
-
0242537058
-
-
Protein structure prediction center
-
Protein structure prediction center. http://predictioncenter.llnl.gov/.
-
-
-
-
20
-
-
0026119038
-
Symbolic and neural learning algorithms: An experimental comparison, machine learning
-
J.W. Shavlik, R.J. Mooney, and G.G. Towell. Symbolic and neural learning algorithms: an experimental comparison, machine learning. Machine Learning, 6(2):111-143, 1991.
-
(1991)
Machine Learning
, vol.6
, Issue.2
, pp. 111-143
-
-
Shavlik, J.W.1
Mooney, R.J.2
Towell, G.G.3
|