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- Path: sparky!uunet!usc!sdd.hp.com!swrinde!elroy.jpl.nasa.gov!ames!lll-winken!tazdevil!henrik
- From: henrik@mpci.llnl.gov (Henrik Klagges)
- Newsgroups: comp.ai.neural-nets
- Subject: Re: Reducing Training time vs Generalisation
- Keywords: back propagation, training, generalisation
- Message-ID: <?.714068811@tazdevil>
- Date: 17 Aug 92 16:26:51 GMT
- References: <1992Aug16.063825.15300@julian.uwo.ca> <1992Aug16.213939.15944@ccu1.aukuni.ac.nz> <arms.714014919@spedden>
- Sender: usenet@lll-winken.LLNL.GOV
- Lines: 13
- Nntp-Posting-Host: tazdevil.llnl.gov
-
- arms@cs.UAlberta.CA (Bill Armstrong) writes:
-
- >It would be interesting to hear Scott Fahlmann's ideas on how to get
- >good generalization. Then you might find out why you had problems
- >using Cascade Correlation.
-
- Could you elaborate a little bit on that point (why you had problems)
- about CC ?
-
- Cheers, Henrik
-
- IBM Research
- Massively Parallel Group at Lawrence Livermore
-