P02-1061 |
feature split displayed by the
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web page classification
|
task studied in previous cotraining
|
W09-2204 |
settings can be distinguished for
|
web page classification
|
problems . On the one hand ,
|
W01-0501 |
contrast in two ways with the
|
web page classification
|
task studied in previous work
|
P10-1077 |
slack-rescaling for - mulation . For
|
web page classification
|
we will need fast processing
|
W01-0501 |
effectiveness of co-training on a
|
web page classification
|
task similar to that described
|
W09-2204 |
categories . In this work , we focus on
|
web page classification
|
based on Support Vector Machines
|
P03-1042 |
data to perform co-training and
|
web page classification
|
. The setting for the experiment
|
W09-2204 |
improve results for multiclass
|
web page classification
|
tasks using Support Vector Ma
|
W09-2204 |
) . Analyzing the nature of a
|
web page classification
|
task , we can consider it to
|
C04-1187 |
Nevertheless , the performance of
|
web page classification
|
will influence the later clustering
|
C04-1187 |
formulation . Section 4 describes the
|
web page classification
|
and web document features used
|
P03-1042 |
Page Classification We used the
|
web page classification
|
data in Section 4.3 and conducted
|
D13-1162 |
Riloff and Lehnert , 1994 ) and
|
web page classification
|
( Furnkranz et al. , 1998 ) .
|
W09-2204 |
organization . For this rea - son ,
|
web page classification
|
has gained importance as a task
|
P03-1042 |
does not hold ) . Co-Training for
|
Web Page Classification
|
We used the web page classification
|
W01-0501 |
and Mitchell ( 1998 ) describe a
|
web page classification
|
task , in which the goal is to
|
W09-2204 |
classification , its application to the
|
web page classification
|
area remains without enough attention
|
P03-1042 |
with Theorem 2 . Co-Training for
|
Web Page Classification
|
We used the same data in ( Blum
|
W09-2201 |
promise in applications such as
|
web page classification
|
( Blum and Mitchell , 1998 )
|
C04-1187 |
thousands to ten of thousands . 4
|
Web Page Classification
|
In order to group the web pages
|