... I
Application of Machine Learning
Application of Machine Learning4
for the samples extracted from the LDC database are presented. The remaining part of this
chapter is organized ... Smrekar
Application of Machine Learning,
Edited by Yagang Zhang
p. cm.
ISBN 978-953-307-035-3
Application of Machine Learning3 4
per-source attribute, so the results are independent of t...
... Brockett
Microsoft Research
One Microsoft Way
Redmond WA 98052, USA
{simonco, mgamon, chrisbkt}@microsoft.com
Abstract
We present a machine learning
approach to evaluating the well-
formedness of output of ... modification index, i.e. the number of
premodifiers minus the number of
postmodifiers across all categories
A machine learning approach
to the automatic evaluation of...
... would seem to offer potential for a learning
atmosphere of shared partnership, a common purpose and a joint management of learning. Class
behavior is owned by the whole group, of which the teacher ... and shy.
Some of their most difficulties are the lack of background knowledge, the new experience of
learning. They are at mixed level of English speaking competence, a few...
... decrease that speed.
Application of Solar Energy12
ρ
ρ
0
≅
T
0
T
=
300
350
≡0.8571, r ≡1−
ρ
ρ
0
=1−0.8571≡0.142857,
(42)
the discharge of the stack exhibits a good value of 2/3 of the maximal one,
R
2
(r)≡
r ... below (University of Massachusetts 2004),
Application of Solar Energy16
[17] Rugescu, R. D., A. Bogoi, and R. Cirligeanu (2011), Intricacy of the TRANSIT mani‐
fold...
... Gamon, and Chris Brockett.
2001. A machine learning approach to the automatic eval-
uation of machine translation. In Proceedings of the 39th
Annual Meeting of the Association for Computational ... quality of the sentence.
Thus, the composite metric is encoded in the confi-
dence scores of the classification labels.
While the learning approach to metric design of-
fers the p...
... For example, a sequences of labels might be: a stream of
phonemes in a speech signal (in speech recognition); a sequence of part -of- speech tags
Language Data and Machine Learning | 19
www.it-ebooks.info
... the
better the performance of the machine learning algorithm!
Preparing a corpus with annotations of named entities, as mentioned above, involves
a richer model than t...
... groups of human judges. The first
group, called the monolingual group, consisted of 10
native speakers of English. The second group, called
the bilingual group, consisted of 10 native speakers
of ... In Proceedings of the First Conference of
the Association for Machine Translation in the Ameri-
cas, pages 193–205, Columbia, Maryland.
BLEU: a Method for Automatic Evaluation of...
...
4. An Application to Machine Translation
One of the effective applications can be shown by
considering the NMP analysis with embedded
phrases. These NMPs are represented by instances of
actions, ...
names of unfilled-slots. The other stacks the names
of filled-slots in order of phrase appearance and is
used for backtracking in the analysis. The second slot
type involves...
... the siz e, the price of the offered spectrum
and the number of admitted SUs of each class. In our
work, the stat e is indicated by the set Z
t
={Z
i
}whereZ
i
is the number of accepted requests ... revenues of PUs through exchan-
ging spectrum among PUs.
• Using a machine learning method to extract the
optimal control policy for managing PUs resources.
• Heterogeneity of the S...