Assessing the importance of features for multi-layer perceptrons
暂无分享,去创建一个
Arie Hasman | Michael Egmont-Petersen | Jan L. Talmon | Anton W. Ambergen | A. Hasman | M. Egmont-Petersen | A. Ambergen | J. Talmon
[1] M. I. Mauldin,et al. Lycos: design choices in an Internet search service , 1997 .
[2] Martin A. Riedmiller,et al. Fast Network Pruning and Feature Extraction by using the Unit-OBS Algorithm , 1996, NIPS.
[3] Patrick Gallinari,et al. Variable selection with neural networks , 1996, Neurocomputing.
[4] D. Signorini,et al. Neural networks , 1995, The Lancet.
[5] J Brender,et al. User-requirements driven learning. , 1995, Computer methods and programs in biomedicine.
[6] Uwe Helmke,et al. Existence and uniqueness results for neural network approximations , 1995, IEEE Trans. Neural Networks.
[7] Michael Egmont-Petersen,et al. On the quality of neural net classifiers , 1994, Artif. Intell. Medicine.
[8] J. R. Quinlan,et al. Comparing connectionist and symbolic learning methods , 1994, COLT 1994.
[9] Roberto Battiti,et al. Using mutual information for selecting features in supervised neural net learning , 1994, IEEE Trans. Neural Networks.
[10] M. Loew,et al. Relative feature importance: A classifier-independent approach to feature selection , 1994 .
[11] Mineichi Kudo,et al. Feature selection based on the structural indices of categories , 1993, Pattern Recognit..
[12] Babak Hassibi,et al. Second Order Derivatives for Network Pruning: Optimal Brain Surgeon , 1992, NIPS.
[13] S. Haykin,et al. Neural network detection of small moving radar targets in an ocean environment , 1992, Neural Networks for Signal Processing II Proceedings of the 1992 IEEE Workshop.
[14] Lars Kai Hansen,et al. Ensemble methods for handwritten digit recognition , 1992, Neural Networks for Signal Processing II Proceedings of the 1992 IEEE Workshop.
[15] Ciamac C. Moallemi,et al. Classifying cells for cancer diagnosis using neural networks , 1991, IEEE Expert.
[16] Riccardo Poli,et al. A neural network expert system for diagnosing and treating hypertension , 1991, Computer.
[17] Robert F. Harrison,et al. A Connectionist Aid to the Early Diagnosis of Myocardial Infarction , 1991, AIME.
[18] Richard Lippmann,et al. Neural Network Classifiers Estimate Bayesian a posteriori Probabilities , 1991, Neural Computation.
[19] G. Hripcsak. Using Connectionist Modules for Decision Support , 1990, Methods of Information in Medicine.
[20] C.S. Pattichis,et al. Artificial neural nets in computer-aided macro motor unit potential classification , 1990, IEEE Engineering in Medicine and Biology Magazine.
[21] Jack Sklansky,et al. A note on genetic algorithms for large-scale feature selection , 1989, Pattern Recognit. Lett..
[22] Jeremy Wyatt,et al. Connectionist models in medicine: an investigation of their potential , 1989, AIME.
[23] Jack Sklansky,et al. On Automatic Feature Selection , 1988, Int. J. Pattern Recognit. Artif. Intell..
[24] Jack Sklansky,et al. Feature Selection for Automatic Classification of Non-Gaussian Data , 1987, IEEE Transactions on Systems, Man, and Cybernetics.
[25] Jan L. Talmon. A multiclass nonparametric partitioning algorithm , 1986, Pattern Recognit. Lett..
[26] King-Sun Fu,et al. Handbook of pattern recognition and image processing , 1986 .
[27] Keinosuke Fukunaga,et al. A Branch and Bound Algorithm for Feature Subset Selection , 1977, IEEE Transactions on Computers.
[28] M. A. Wolfe. A first course in numerical analysis , 1972 .
[29] L. Sucheston. Modern Probability Theory and its Applications. , 1961 .
[30] T. W. Anderson,et al. An Introduction to Multivariate Statistical Analysis , 1959 .
[31] S. Siegel,et al. Nonparametric Statistics for the Behavioral Sciences , 2022, The SAGE Encyclopedia of Research Design.