[EMAIL PROTECTED] (Tom Fawcett) wrote:
>Just a casual comment on this. There has been a fair amount of work on text
>classification in the past few years, comparing different representations and
>algorithms. I wouldn't take any individual study's conclusions as definitive,
>since various papers
Ken Williams <[EMAIL PROTECTED]> wrote:
> I had a chance last week to read Yiming Yang's paper on feature set
> reduction:
>
> http://www.cs.cmu.edu/~yiming/papers.yy/icml97.ps.gz
>
> It contains the startling conclusion that the single biggest factor in
> getting good results by reducing fea
I had a chance last week to read Yiming Yang's paper on feature set
reduction:
http://www.cs.cmu.edu/~yiming/papers.yy/icml97.ps.gz
It contains the startling conclusion that the single biggest factor in
getting good results by reducing feature sets is to keep frequently-used
features (after ge
> > ...speaking of which, is anyone familiar with Thomas M. Mitchell's book
> > "Machine Learning"? It has only positive reviews on Amazon, but I'm not
> > sure whether that's reliable.
I have the book, and really really like it. I found it comprehensible
and useful.
Nat
It's a very good book, and Tom is a good teacher, too. He's here
at CMU.
kevin
On Fri, Jul 06, 2001 at 11:30:54AM -0500, Ken Williams wrote:
> [EMAIL PROTECTED] (Ken Williams) wrote:
> >You're right that there are a lot of resources to be found in a web
> >search, but most of it is about very sp
I was in Tom Mitchell's graduate machine learning class at CMU when he was
writing the book. We were working off of 'chapters in progress', but at
the time I thought what was there was great. It hits most of the major
topics in machine learning and gives algorithmic outlines of things in
pseudo
I have personally tried this book as an introduction to Machine learning
theory. It is a good book and I think the author has set up a web site
with matterial supplementing his book.
Since it is a matter of personal 'taste' just take an opportunity to
browse this book if your local library hol
[EMAIL PROTECTED] (Ken Williams) wrote:
>You're right that there are a lot of resources to be found in a web
>search, but most of it is about very specific applications - perhaps
>introductory material is best found in a textbook.
...speaking of which, is anyone familiar with Thomas M. Mitchell's
[EMAIL PROTECTED] (John Porter) wrote:
>Ken Williams wrote:
>> one suggestion was to use cross-entropy
>> measurements to reduce the number of features (words) considered.
>
>Um, have you tried a web search? Seems to me there's a fair
>amount of info out there...
At YAPC, it was decided that thi
Ken Williams wrote:
> one suggestion was to use cross-entropy
> measurements to reduce the number of features (words) considered.
Um, have you tried a web search? Seems to me there's a fair
amount of info out there...
--
John Porter
What do you mean by 'cross-entity reference'? Could you be more explicit?
Lee
---
Obligatory perl schmutter .sig:
perl -e "print chr(rand>.5?92:47) while 1"
> -Original Message-
> From: Ken Williams [mailto:[EMAIL PROTECTED]]
> Sent: 06 July 2001 05:29
> To: [EMAIL PROTECTED]
> Subject:
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