Access the full text.
Sign up today, get DeepDyve free for 14 days.
P. Mecocci, E. Grossi, M. Buscema, M. Intraligi, R. Savarè, P. Rinaldi, A. Cherubini, U. Senin (2002)
Use of Artificial Networks in Clinical Trials: A Pilot Study to Predict Responsiveness to Donepezil in Alzheimer's DiseaseJournal of the American Geriatrics Society, 50
M. Stone (1976)
Cross‐Validatory Choice and Assessment of Statistical PredictionsJournal of the royal statistical society series b-methodological, 36
B. Efron (1987)
The jackknife, the bootstrap, and other resampling plans
D. Rumelhart, R. Durbin, R. Golden, Yves Chauvin (1995)
Backpropagation: the basic theory
J.W. Tuckey (1958)
Bias and confidence in not-quite large samplesAnnals of Mathematical Statistics, 29
B. Kosko, J. Burgess (1998)
Neural networks and fuzzy systemsJournal of the Acoustical Society of America, 103
P. Buscema (2004)
Genetic doping algorithm (GenD): theory and applicationsExpert Systems, 21
Massimo Buscema (1998)
Self-reflexive networks.Substance use & misuse, 33 2
B. Efron (1979)
Bootstrap Methods: Another Look at the JackknifeAnnals of Statistics, 7
B. Efron, G. Gong (1983)
A leisurely look at the Bootstrap, the Jackknife, and the cross-validationThe American Statistician, 37
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-mammographyMedical Physics, 30
D. Rumelhart, James McClelland (1986)
Parallel distributed processing: explorations in the microstructure of cognition, vol. 1: foundations
B. Efron, Gail Gong (1983)
A Leisurely Look at the Bootstrap, the Jackknife, and
D. Rumelhart, Geoffrey Hinton, Ronald Williams (1986)
Learning internal representations by error propagation
P. Blau, O. Duncan (1967)
The American Occupational Structure
R. Eberhart, Pat Simpson, R. Dobbins (1996)
Computational intelligence PC tools
M. Buscema (1995)
Self-reflexive networks: Theory · topology · applicationsQuality and Quantity, 29
M. Quenouille (1956)
NOTES ON BIAS IN ESTIMATIONBiometrika, 43
P. Slusallek, P. Shirley, W. Mark, Gordon Stoll, I. Wald (2005)
Parallel & distributed processingACM SIGGRAPH 2005 Courses
M. Buscema (1998)
Back propagation neural networks.Substance use & misuse, 33 2
B. Kosko (1991)
Neural networks and fuzzy systems: a dynamical systems approach to machine intelligence
Rupert Miller (1974)
The jackknife-a reviewBiometrika, 61
T. Vomweg, M. Buscema, H. Kauczor, A. Teifke, M. Intraligi, S. Terzi, C. Heussel, T. Achenbach, O. Rieker, D. Mayer, M. Thelen (2003)
Improved artificial neural networks in prediction of malignancy of lesions in contrast-enhanced MR-mammography.Medical physics, 30 9
S. Geisser (1975)
The Predictive Sample Reuse Method with ApplicationsJournal of the American Statistical Association, 70
The paper is a preliminary research report and presents a method for generating new records using an evolutionary algorithm (close to but different from a genetic algorithm). This method, called Pseudo-Inverse Function (in short P-I Function), was designed and implemented at Semeion Research Centre (Rome). P-I Function is a method to generate new (virtual) data from a small set of observed data. P-I Function can be of aid when budget constraints limit the number of interviewees, or in case of a population that shows some sociologically interesting trait, but whose small size can seriously affect the reliability of estimates, or in case of secondary analysis on small samples.
Quality & Quantity – Springer Journals
Published: Sep 20, 2005
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.