Leonardo Franco Sergio Cannas Facultad de Matematica, Astronoma y Fsica....  Home/Search
Context Related
| uncor.edu/~franco/select.pdf Cached: PS.gz PS PDF This document uses CoBlitz to cache paper downloads. If your firewall is blocking outgoing connections to port 3125, you can use these links to download local copies.
Image Update HelpPS.gz PS PDF From: uncor.edu/~franco/publication (more) (Enter author homepages) |
Rate this article:      (best)Comment on this article |
Abstract: In this work, we study how the selection of examples a#ects the learning procedure in a boolean neural network and its relationship with the complexity of the function under study and its architecture. We analyze the generalization capacity for di#erent particular target functions with particular architectures through an analytical calculation of the minimum number of examples needed to obtain full generalization #i.e., zero generalization error#. The analysis of the training sets associated... (Update)
Context of citations to this paper: More
...the linear threshold equations derived by imposing the perfect learning of a set of examples. We introduced this method in a previous work [7] to analyze the in uence of the selection of examples in the emergence of generalization ability for several networks with linear...
Cited by: More
Generalization Properties of Modular Networks: Implementing .. - Leonardo Franco And (2001) (Correct)
Similar documents (at the sentence level):
32.2%: LETTER Communicated by Wolfgang Kinzel Generalization.. - Neural Networks Leonardo (2000) (Correct)
13.0%: Improving Network Generalization through Selection of Examples - Franco, Cannas (2000) (Correct)
Active bibliography (related documents): More All
0.3: Searching for Filters With "Interesting" Output Distributions.. - Baddeley (1996) (Correct)
0.3: Neural Network Input Representations that Produce.. - Allex, Shavlik, Blattner (1999) (Correct)
0.0: Minimizing Statistical Bias with Queries - Cohn (1995) (Correct)
Similar documents based on text: More All
0.6: Solving Arithmetic Problems Using Feed-Forward Neural.. - Leonardo Franco Sergio (1998) (Correct)
0.5: Generalization and Modularity in Feed-Forward Boolean Networks - Franco, Cannas (2000) (Correct)
0.4: Energy Landscape and Learning on a Neural - Network For The (Correct)
BibTeX entry: (Update)
L. Franco and S.A. Cannas, \Generalization and Selection of Examples in Feedforward Neural Networks", Neural Computation, vol 12, pp. 2405-2426, 2000. http://citeseer.ist.psu.edu/article/franco00generalization.html More
@article{ franco00generalization,
author = "Leonardo Franco and Sergio A. Cannas",
title = "Generalization and Selection of Examples in Feedforward Neural Networks",
journal = "Neural Computation",
volume = "12",
number = "10",
pages = "2405-2426",
year = "2000",
url = "citeseer.ist.psu.edu/article/franco00generalization.html" }
Citations (may not include all citations):46 Selecting Concise Training Sets from Clean Data (context) - Plutowski, White - 1993
3 Parallel DistributedProcessing (context) - Restricted, Perceptrons et al. - 1986
1 IEEE Transactions on Neural Networks (context) - Queries - 1993
1 Neural Network Exploration using Optimal Experiment Design (context) - Learning, Learning - 1996
1 Neural Networks: A comprehensive foundation (context) - From, Membership et al. - 1994
Documents on the same site (http://buho.fis.uncor.edu/~franco/publication.html):
Solving Arithmetic Problems Using Feed-Forward Neural.. - Leonardo Franco Sergio (1998) (Correct)
Generalization and Modularity in Feed-Forward Boolean Networks - Franco, Cannas (2000) (Correct)
Online articles have much greater impact More about CiteSeer.IST Add search form to your site Submit documents Feedback
CiteSeer.IST - Copyright Penn State and NEC