learning better data representation
Báo cáo khoa học: "Learning Condensed Feature Representations from Large Unsupervised Data Sets for Supervised Learning" docx
Ngày tải lên :
07/03/2014, 22:20
... 2011.
c
2011 Association for Computational Linguistics
Learning Condensed Feature Representations from Large Unsupervised
Data Sets for Supervised Learning
Jun Suzuki, Hideki Isozaki, and Masaaki Nagata
NTT ... of unsupervised
data to supplement supervised data. Specifically,
an approach that involves incorporating ‘clustering-
based word representations (CWR)’ induced from
unsupervised data as additional ... Comparison with previous top-line systems on
test data. (#.USD: unsupervised data size. #.AF: the size
of active features in the trained model.)
supervised learning systems even though it uses far
fewer...
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Tài liệu Learning PHP Data Objects ppt
Ngày tải lên :
15/02/2014, 16:20
... number where the database server is listeningthe port number where the database server is listening
(defaults to 3306)
dbname
- the name of the database (the name of the database (cars in ... if you change the database management
system. A connection string can be dened in a conguration le and that le gets
processed by your application. Should your database (data source) change, ... the name
of the database management system and of the database itself, as well as other
connection parameters.
Their advantage over using traditional methods of creating database connection...
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Báo cáo khoa học: "Learning Better Rule Extraction with Translation Span Alignment" pptx
Ngày tải lên :
23/03/2014, 14:20
...
generation on the example sentence pair in Figure
1 can be shown in Table 2.
3 Better Rule Extraction with TSAs
To better understand the particular task that we
will address in this section, ... given target sentence e with respect
to the current translation model induced from the
training data, which can be expressed by
)|)((Prmaxarg
)(),(
*
cdTGTd
edTGTecDd
θ
=∧∈
=
(1)
where D(c,e) ... models can achieve the state-of-the-
art translation quality with a large amount of train-
ing data, and are not limited by any constituent
boundary based constraints for decoding.
Formally,...
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Learning express Better Writing Right Now
Ngày tải lên :
05/10/2012, 09:48
... Conventions.
Published in the United States by LearningExpress, LLC, New York.
Library of Congress Cataloging-in-Publication Data:
Galko, Francine.
Better writing right now : using words to your ... in a process
Event 1
Event 2
Event 3
Summary
BETTER WRITING RIGHT NOW!
LESSON 4 Organizing Your Ideas and Outlining Your Paper
40
Copyright © 2001 LearningExpress, LLC.
All rights reserved under ... differences
differences
similarities
differences
Organizing Your Ideas and Outlining Your Paper LESSON 4
BETTER WRITING RIGHT NOW!
39
BETTER WRITING RIGHT NOW!
LESSON 3 Using Prewriting Strategies
28
■
Comparison...
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Learning express Read Better Remember More 2nd Edition
Ngày tải lên :
05/10/2012, 09:48
... do?
2
.Why?
3
.When?
4
. How do distance learning students take classes?
5
. How many people were surveyed?
6
. What percent of distance learning students were satisfied?
7
. Were distance learning students more ... distance learning a good
experience?
Answers
1
. Elmont Community College conducted a survey.
2
. They conducted the survey to see how distance learning compared
to traditional classroom learning.
3
. ... College, distance learning is a legitimate alter-
native to traditional classroom education.
In February, the college surveyed 1,000 adults across the
country to see if distance learning programs...
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Learning express Write Better Essays 2e
Ngày tải lên :
05/10/2012, 09:48
... does he provide to support them? Are they sound arguments?
–UNDERSTANDING THE ASSIGNED TOPIC–
29
–LEARNINGEXPRESS ANSWER SHEET–
9
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9.
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a ... achieve
in your essay?
–THINKING ABOUT AUDIENCE AND PURPOSE–
23
–PRETEST–
16
–PRETEST–
15
WRITE
BETTER
ESSAYS
IN JUST 20
MINUTES A DAY
NEW YORK
2nd Edition
®
Practice 1
1. Briefly explain how ... actual
readers who want two very different things from you.
–THINKING ABOUT AUDIENCE AND PURPOSE–
20
WRITE
BETTER ESSAYS
IN JUST 20 MINUTES A DAY
Admissions officers, for example, would prefer a very personal...
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A study on some major factors affecting English learning of grade 6 ethnic minority students of a mountainous secondary school to help them learn better
Ngày tải lên :
07/11/2012, 15:04
... strategies: involve planning for learning, thinking about learning and
how to make it effective, self-monitoring during learning and evaluation of how successful
learning has been after working ... theories of second language learning:
definitions of language acquisition and theoretical background of language learning factors
in specific such as intelligence, personality, learning strategies, ... process of the first language learning can be better understood if the social
dimension is included. Social factors have even more importance in the case of second
language learning because of the...
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Tài liệu Báo cáo khoa học: "Word representations: A simple and general method for semi-supervised learning" doc
Ngày tải lên :
20/02/2014, 04:20
... Distributed representations
Another approach to word representation is to
learn a distributed representation. (Not to be
confused with distributional representations.)
A distributed representation ... clustering representations (Section 3)
and distributed representations (Section 4), so we
focus on these representations in our work.
3 Clustering-based word representations
Another type of word representation ... use the word representations
might increase accuracy more (Koo et al., 2008).
Using word representations in NER brought
larger gains on the out-of-domain data than on the
in-domain data. We were...
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Tài liệu Báo cáo khoa học: "Learning with Unlabeled Data for Text Categorization Using Bootstrapping and Feature Projection Techniques" doc
Ngày tải lên :
20/02/2014, 16:20
... Noisy Data of Machine-labeled
Data
We finally obtained labeled data of a documents
unit, machine-labeled data. Now we can learn text
classifiers using them. But since the machine-
labeled data ...
(NB), Roccio) in training data with much noisy
data such as machine-labeled data. As shown in
Table 2, we obtained the best performance in using
TCFP at all three data sets.
Let us define ... training data for each
application area (Nigam et al., 1998). In this light,
we consider learning algorithms that do not require
such a large amount of labeled data.
While labeled data are...
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Bell & Howell Information and Learning 300 North Zeeb Road, Ann Arbor, MI 48106-1346 USA 800-521-0600UMI.The Potential of Soil Survey Data in a Quantitative Evaluation of Surficial Geology Mapping in Northern Maine by Rosalia EvansThesis submitted t pptx
Ngày tải lên :
08/03/2014, 23:20
... four of the data sources. The
surface area is approximately 210 km
2
and lies within the Fort Kent, Eagle Lake,
Stockholm and Van Buren 15 minute topographic quadrangles (figure 1). Data for ... 1978B; 1981). Unpublished
field-observed point data were also available for the areas (Kite, 1996). These rich
sources of soil and surficial geology data afford a unique opportunity to investigate ... survey data 19
4 Prescott’s map produced electronically 29
5 Genes’s maps produced electronically 32
6 Kite’s point observations produced electronically 36
7 Maine geological surficial data...
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Báo cáo khoa học: "Machine-Learning-Based Transformation of Passive Japanese Sentences into Active by Separating Training Data into Each Input Particle" doc
Ngày tải lên :
17/03/2014, 04:20
... supervised data. We divided the su-
pervised data into closed and open data (Both the
closed data and open data had 1788 items each.).
The distribution of target case particles in the data
are ... data to
determine features that were deleted in feature se-
lection and used the open data as test data (data
for evaluation). We used 10-fold cross validation
for the experiments on closed data ... terms
of separating the training data into source parti-
cles. Baseline 3 separates the training data into
592
Table 6: Deletion of features
Deleted Closed data Open data
features Eval. A Eval. B...
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Báo cáo khoa học: "Machine-Learning-Based Transformation of Passive Japanese Sentences into Active by Separating Training Data into Each Input Particle" ppt
Ngày tải lên :
17/03/2014, 04:20
... added to its corresponding training data
as a feature to create a new set of training data be-
fore applying a machine learning algorithm; then
a machine learning algorithm is applied to the ... 2003a. Learning the count-
ability of English nouns from corpus data. In Proc.
of 41st Annual Meeting of ACL, pages 463–470.
T. Baldwin and F. Bond. 2003b. A plethora of meth-
ods for learning ... of discourses using a ma-
chine learning algorithm. All we have to do is to
extract a set of training data from the tagged in-
stances and to apply a machine learning algorithm
to it. This is...
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Báo cáo khoa học: "Learning the Countability of English Nouns from Corpus Data" ppt
Ngày tải lên :
17/03/2014, 06:20
... Computational Natural Language
Learning (CoNLL-2000), Lisbon, Portugal.
Anna Wierzbicka. 1988. The Semantics of Grammar. John
Benjamin.
Class Positive data Negative data Baseline
Countable 4,342 ... static repository of countability data.
6 Discussion
The above results demonstrate the utility of the
proposed method in learning noun countability
from corpus data. In the final system configu-
ration, ... corpus
data, we need the basic phrase structure, and partic-
ularly noun phrase structure, of the source text. We
use three different sources for this phrase structure:
part-of-speech tagged data, ...
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Visual Event Recognition in Videos by Learning from Web Data ppt
Ngày tải lên :
23/03/2014, 13:20
... IEEE.
DUAN ET AL.: VISUAL EVENT RECOGNITION IN VIDEOS BY LEARNING FROM WEB DATA 1679
Visual Event Recognition in Videos
by Learning from Web Data
Lixin Duan, Dong Xu, Member, IEEE, Ivor Wai-Hung ... Neural Networks and Learning Systems,
vol. 23, no. 3, pp. 504-518, Mar. 2012.
[10] L. Duan, D. Xu, I.W. Tsang, and J. Luo, “Visual Event Recognition
in Videos by Learning from Web Data, ” Proc. IEEE ... b ¼½a
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4.1 Brief Review of Related Learning Work
Transfer learning (a.k.a., domain adaptation or cross-
domain learning) methods have been proposed for many
applications...
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