New file in neuroprose

[dhw@santafe.edu]

	****	DO NOT FORWARD TO OTHER GROUPS	****


The following paper has been placed in neuroprose, under the name
wolpert.unify.ps.Z. It is a draft, 82 pages long. Because of the
breadth of its subject matter, comments/suggestions are strongly
encouraged.






The Relationship Between PAC, the Statistical Physics framework, the        
Bayesian framework, and the VC framework.


by David H. Wolpert

The Santa Fe Institute, 1660 Old Pecos Trail, Suite A, Santa Fe, NM,
87505, dhw at santafe.edu


Abstract: This paper discusses the intimate relationships between the
supervised learning frameworks mentioned in the title. In particular,
it shows how all those frameworks can be viewed as particular
instances of a single overarching formalism. In doing this many
commonly misunderstood aspects of those frameworks are explored. In
addition the strengths and weaknesses of those frameworks are
compared, and some novel frameworks are suggested (resulting, for
example, in a `correction' to the familiar bias-plus-variance
formula).



To print the file:


unix> ftp archive.cis.ohio-state.edu
Connected to archive.cis.ohio-state.edu.
220 archive FTP server (Version wu-2.1c(3) Thu Dec 16 08:45:43 EST 1993) ready.
Name (archive.cis.ohio-state.edu:dhw): anonymous
331 Guest login ok, send your complete e-mail address as password.
Password:
230 Guest login ok, access restrictions apply.
ftp> cd pub/neuroprose
250-Please read the file README
250-  it was last modified on Fri Jul  2 09:04:46 1993 - 262 days ago
250 CWD command successful.
ftp> binary
ftp> get wolpert.unify.ps.Z
ftp> quit
unix> lpr wolpert.unify.ps.Z (or however you print postscript)