tech,13-6-H01-1058,ak |
behavior of the
<term>
oracle
</term>
using a
<term>
|
neural network
|
</term>
or a
<term>
decision tree
</term>
. The
|
#1165
We suggest a method that mimics the behavior of the oracle using aneural network or a decision tree. |
|
tech,17-6-H01-1058,ak |
using a
<term>
neural network
</term>
or a
<term>
|
decision tree
|
</term>
. The method amounts to tagging
<term>
|
#1169
We suggest a method that mimics the behavior of the oracle using a neural network or adecision tree. |
|
model,5-7-H01-1058,ak |
</term>
. The method amounts to tagging
<term>
|
LMs
|
</term>
with
<term>
confidence measures
</term>
|
#1177
The 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 |
amounts to tagging
<term>
LMs
</term>
with
<term>
|
confidence measures
|
</term>
and picking the best
<term>
hypothesis
|
#1179
The 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 |
measures
</term>
and picking the best
<term>
|
hypothesis
|
</term>
corresponding to the
<term>
LM
</term>
|
#1185
The 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 |
hypothesis
</term>
corresponding to the
<term>
|
LM
|
</term>
with the best
<term>
confidence
</term>
|
#1189
The 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 |
to the
<term>
LM
</term>
with the best
<term>
|
confidence
|
</term>
. We describe a three-tiered approach
|
#1193
The method amounts to tagging LMs with confidence measures and picking the best hypothesis corresponding to the LM with the bestconfidence. |
|