-
2
-
-
21844502332
-
Self-reflexive networks. Theory, topology, applications
-
4
-
M. Buscema 1995 Self-reflexive networks. Theory, topology, applications Quality and Quantity 29 4 339 403
-
(1995)
Quality and Quantity
, vol.29
, pp. 339-403
-
-
Buscema, M.1
-
3
-
-
0031936261
-
Back propagation neural networks
-
2
-
M. Buscema 1998 Back propagation neural networks Substance Use and Misuse 33 2 233 270
-
(1998)
Substance Use and Misuse
, vol.33
, pp. 233-270
-
-
Buscema, M.1
-
4
-
-
2942607503
-
Genetic Doping Algorithm (GenD): Theory and applications
-
2
-
M. Buscema 2004 Genetic Doping Algorithm (GenD): theory and applications Expert Systems 21 2 63 79
-
(2004)
Expert Systems
, vol.21
, pp. 63-79
-
-
Buscema, M.1
-
5
-
-
16844381658
-
-
Technical Paper n.21, Rome, Semeion.
-
Buscema, M., Breda, M. & Terzi, S. (2002a). Sine Net. Technical Paper n.21, Rome, Semeion.
-
(2002)
Sine Net
-
-
Buscema, M.1
Breda, M.2
Terzi, S.3
-
6
-
-
16844375799
-
-
Technical Paper n.27, Rome, Semeion.
-
Buscema, M., Breda, M. & Terzi, S. (2002b). Complex Recurrent Networks: a new type of Micro Artificial Organism. Technical Paper n.27, Rome, Semeion.
-
(2002)
Complex Recurrent Networks: A New Type of Micro Artificial Organism
-
-
Buscema, M.1
Breda, M.2
Terzi, S.3
-
8
-
-
0002344794
-
Bootstrap Methods: Another Look at the Jackknife
-
B. Efron 1979 Bootstrap Methods: Another Look at the Jackknife Annals of Statistics 7 1 26
-
(1979)
Annals of Statistics
, vol.7
, pp. 1-26
-
-
Efron, B.1
-
10
-
-
84945737762
-
A leisurely look at the Bootstrap, the Jackknife, and the cross-validation
-
B. Efron G. Gong 1983 A leisurely look at the Bootstrap, the Jackknife, and the cross-validation The American Statistician 37 1 36 48
-
(1983)
The American Statistician
, vol.37
, Issue.1
, pp. 36-48
-
-
Efron, B.1
Gong, G.2
-
11
-
-
84950645271
-
The predictive sample reuse method with applications
-
S. Geisser 1975 The predictive sample reuse method with applications Journal of the America Statistical Society 70 320 328
-
(1975)
Journal of the America Statistical Society
, vol.70
, pp. 320-328
-
-
Geisser, S.1
-
13
-
-
0036843749
-
Use of artificial networks in clinical trials: A Pilot study to predict responsiveness to Donepezil in Alzheimer's disease
-
Mecocci, P., Grossi, E., Buscema, M., Intraligi, M., Savarè, R., Rinaldi, P., Cherubini, A. & Senin, U. (2002). Use of artificial networks in clinical trials: a Pilot study to predict responsiveness to Donepezil in Alzheimer's disease. Journal of American Geriatric Society 50(11):1857-1860.
-
(2002)
Journal of American Geriatric Society
, vol.50
, Issue.11
, pp. 1857-1860
-
-
Mecocci, P.1
Grossi, E.2
Buscema, M.3
Intraligi, M.4
Savarè, R.5
Rinaldi, P.6
Cherubini, A.7
Senin, U.8
-
15
-
-
0015971972
-
The Jackknife - A review
-
PDP on autoassociative nets.
-
Miller, R. G. (1974). The Jackknife - A review. Biometrika 61: 1-15 PDP on autoassociative nets.
-
(1974)
Biometrika
, vol.61
, pp. 1-15
-
-
Miller, R.G.1
-
16
-
-
0001610304
-
Notes on bias in estimation
-
M.H. Quenouille 1956 Notes on bias in estimation Biometrika 43 353 360
-
(1956)
Biometrika
, vol.43
, pp. 353-360
-
-
Quenouille, M.H.1
-
17
-
-
0002530434
-
Backpropagation: The Basic Theory
-
Y. Chauvin & D. E. Rumelhart (eds.), Hillsdale (NJ): Erlbaum.
-
Rumelhart, D. E., Durbin, R., Golden, R. & Chauvin, Y. (1995). Backpropagation: The Basic Theory. In: Y. Chauvin & D. E. Rumelhart (eds.), Back Propagation: Theory, Architectures and Applications. Hillsdale (NJ): Erlbaum.
-
(1995)
Back Propagation: Theory, Architectures and Applications
-
-
Rumelhart, D.E.1
Durbin, R.2
Golden, R.3
Chauvin, Y.4
-
18
-
-
0000646059
-
Learning internal representation by error propagation
-
D. E. Rumelhart & J. L. McClelland (eds.), Cambridge (MA): The MIT Press
-
Rumelhart, D. E, Hinton, G. E. & Williams R. J. (1986). Learning internal representation by error propagation. In: D. E. Rumelhart & J. L. McClelland (eds.), Parallel Distributed Processing. Explorations in the Microstructure of Cognition, Vol. 1. Cambridge (MA): The MIT Press, pp. 318-362.
-
(1986)
Parallel Distributed Processing. Explorations in the Microstructure of Cognition
, vol.1
, pp. 318-362
-
-
Rumelhart, D.E.1
Hinton, G.E.2
Williams, R.J.3
-
20
-
-
0000629975
-
Cross-validatory choice and assessment of statistical prediction
-
M. Stone 1974 Cross-validatory choice and assessment of statistical prediction Journal of the Royal Statistical Society, Series B 36 111 147
-
(1974)
Journal of the Royal Statistical Society, Series B
, vol.36
, pp. 111-147
-
-
Stone, M.1
-
21
-
-
0001617782
-
Bias and confidence in not-quite large samples
-
J.W. Tuckey 1958 Bias and confidence in not-quite large samples Annals of Mathematical Statistics 29 614
-
(1958)
Annals of Mathematical Statistics
, vol.29
, pp. 614
-
-
Tuckey, J.W.1
-
22
-
-
10744225193
-
Improved artificial neural networks in dignity prediction of enhancing lesions in contrast-enhanced MR-mammography
-
T.W. Vomweg M. Buscema H.U. Kauczor A. Teifke M. Intraligi S. Terzi C.P. Heussel T. Achenbach M. Thelen 2003 Improved artificial neural networks in dignity prediction of enhancing lesions in contrast-enhanced MR-mammography Medical Physics 30 2350 2359
-
(2003)
Medical Physics
, vol.30
, pp. 2350-2359
-
-
Vomweg, T.W.1
Buscema, M.2
Kauczor, H.U.3
Teifke, A.4
Intraligi, M.5
Terzi, S.6
Heussel, C.P.7
Achenbach, T.8
Thelen, M.9
|