We suggest a method that mimics the behavior of the
<term>
oracle
</term>
using a
<term>
neural network
</term>
or a
<term>
decision tree
</term>
.
#1165We suggest a method that mimics the behavior of the oracle using aneural network or a decision tree.
tech,17-6-H01-1058,ak
We suggest a method that mimics the behavior of the
<term>
oracle
</term>
using a
<term>
neural network
</term>
or a
<term>
decision tree
</term>
.
#1169We suggest a method that mimics the behavior of the oracle using a neural network or adecision tree.
model,5-7-H01-1058,ak
The method amounts to tagging
<term>
LMs
</term>
with
<term>
confidence measures
</term>
and picking the best
<term>
hypothesis
</term>
corresponding to the
<term>
LM
</term>
with the best
<term>
confidence
</term>
.
#1177The method amounts to taggingLMs with confidence measures and picking the best hypothesis corresponding to the LM with the best confidence.
measure(ment),7-7-H01-1058,ak
The method amounts to tagging
<term>
LMs
</term>
with
<term>
confidence measures
</term>
and picking the best
<term>
hypothesis
</term>
corresponding to the
<term>
LM
</term>
with the best
<term>
confidence
</term>
.
#1179The method amounts to tagging LMs withconfidence measures and picking the best hypothesis corresponding to the LM with the best confidence.
other,13-7-H01-1058,ak
The method amounts to tagging
<term>
LMs
</term>
with
<term>
confidence measures
</term>
and picking the best
<term>
hypothesis
</term>
corresponding to the
<term>
LM
</term>
with the best
<term>
confidence
</term>
.
#1185The method amounts to tagging LMs with confidence measures and picking the besthypothesis corresponding to the LM with the best confidence.
model,17-7-H01-1058,ak
The method amounts to tagging
<term>
LMs
</term>
with
<term>
confidence measures
</term>
and picking the best
<term>
hypothesis
</term>
corresponding to the
<term>
LM
</term>
with the best
<term>
confidence
</term>
.
#1189The method amounts to tagging LMs with confidence measures and picking the best hypothesis corresponding to theLM with the best confidence.
measure(ment),21-7-H01-1058,ak
The method amounts to tagging
<term>
LMs
</term>
with
<term>
confidence measures
</term>
and picking the best
<term>
hypothesis
</term>
corresponding to the
<term>
LM
</term>
with the best
<term>
confidence
</term>
.
#1193The method amounts to tagging LMs with confidence measures and picking the best hypothesis corresponding to the LM with the bestconfidence.