P95-1027 |
construction of such trees is binary
|
recursive partitioning
|
, which constructs a binary tree
|
E99-1019 |
training . The trees were grown using
|
recursive partitioning
|
; the splitting criterion was
|
N04-4005 |
The applied strategy is that of
|
recursive partitioning
|
, where the resulting rules are
|
J00-4004 |
induction , which we employ here , is
|
recursive partitioning
|
( Quinlan 1986 ; Breiman et al.
|
D11-1064 |
Decision Tree Construction We use
|
recursive partitioning
|
to grow decision trees . In this
|
J00-4004 |
portion of the tree created with
|
recursive partitioning
|
is shown in Figure 2 ( in Section
|
W06-0107 |
Classification Tree is to do a
|
recursive partitioning
|
of the variable space to achieve
|
W97-0318 |
induction , employed here , is
|
recursive partitioning
|
( Quinlan , 1986 ; Breiman et
|
W09-1603 |
. CART uses an exhaus - tive ,
|
recursive partitioning
|
routine to generate binary splits
|
W10-4167 |
clustering of n data points is a
|
recursive partitioning
|
of the data into 2 , 3 , 4 ,
|
W03-1028 |
used to construct the rules is
|
recursive partitioning
|
( or divide-and-conquer ) , which
|
W06-0107 |
training dataset . We use the
|
Recursive Partitioning
|
and Regression Trees ( Rpart
|
W12-0408 |
birth fixation were submitted to a
|
recursive partitioning
|
classification algorithm ( Clark
|
P96-1050 |
the initial feature set using a
|
recursive partitioning
|
algorithm ( Quinlan , 1986 ;
|
W01-0721 |
and Boul - ton , 1968 ) with the
|
recursive partitioning
|
algo - rithm . In this paper
|