semisupervised learning with weaklyrelated unlabeled data
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
... with
robustness from noisy data (Ko and Seo, 2004).
How can labeled training data be automatically
created from unlabeled data and title words?
Maybe unlabeled data don’t have any information ...
Generally, the supervised learning approach with
labeled data regards a document as a unit of
meaning. But since we can use only the title words
and unlabeled data, we define context as a ... obtain,
unlabeled data are readily available and plentiful.
Therefore, this paper advocates using a
bootstrapping framework and a feature projection
technique with just unlabeled data for...
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Báo cáo khoa học: "Attacking Parsing Bottlenecks with Unlabeled Data and Relevant Factorizations" pdf
Ngày tải lên :
23/03/2014, 14:20
... while sibling scoring may
or may not add some additional gains.
4 Using Unlabeled Data Effectively
Associations from unlabeled data have the poten-
tial to improve both conjunctions and prepositions.
We ... motivated the use of unlabeled
data for attaching prepositions and conjunctions. We
have also hypothesized that these features will be
most effective when the data representation and the
learning representation ... investigate the impact
of unlabeled data on parsing accuracy using the two
conversions and using each of the factorizations de-
scribed in Section 3.1-3.4.
5.1 Unlabeled Data Feature Set
Clusters:...
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Tài liệu Module 18: Case Study Working with the Foodmart Database ppt
Ngày tải lên :
24/01/2014, 19:20
... create a new database
1. In Analysis Manager, create a new database, and then name the database
Module 18.
2. Create a new data source in Module 18.
3. On the Provider tab of the Data Link Properties ... cube, without defining aggregations or storage mode.
7. Be certain that you include all sales data for 1997 and 1998.
Three tables contain 1997 and 1998 data in the Foodmart 2000
database. ... in the cube: one partition for 1998
inventory data and one for 1997 inventory data.
36 Module 18: Case Study—Working with the Foodmart Database
BETA MATERIALS FOR MICROSOFT CERTIFIED...
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Tài liệu Using the Python Database API with Red Hat Database docx
Ngày tải lên :
19/02/2014, 12:20
... Python Database API with Red Hat Database
18 Using the Python Database API with Red Hat Database Red Hat
Using the Python Database API with Red Hat Database
8 Using the Python Database API with ... "
Using the Python Database API with Red Hat Database
4 Using the Python Database API with Red Hat Database Red Hat
a row, and then disconnecting:
•
Connect to the database by creating a ... after the (potential)
# data modification
viewtable (db)
disconnect (db)
Using the Python Database API with Red Hat Database
6 Using the Python Database API with Red Hat Database Red Hat
Performing...
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Tài liệu Báo cáo khoa học: "Updating a Name Tagger Using Contemporary Unlabeled Data" ppt
Ngày tải lên :
20/02/2014, 09:20
... older unlabeled data.
These results suggest that we may not need to
label new data nor train our tagger with increasing
sizes of data, as long as we are able to train it with
unlabeled data time ... organization when the tagger is
trained with unlabeled data drawn from the same
epoch, but is incorretly classified as person when
trained with data that is not contemporary with the
test set. Even though ... contempo-
rary unlabeled data contributes to its correct clas-
sification in the test set.
5.2 Is more older unlabeled data better?
The second question we addressed was whether
having more older unlabeled data...
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Tài liệu Báo cáo khoa học: "Co-training for Predicting Emotions with Spoken Dialogue Data" pdf
Ngày tải lên :
20/02/2014, 16:20
... (HLT/NAACL).
S. Goldman and Y. Zhou. 2000. Enhancing
Supervised Learning with Unlabeled Data.
International Joint Conference on Machine
Learning, 2000.
G. H. John, R. Kohavi and K. Pleger. 1994. ... Blum and T. Mitchell. 1998. Combining
Labeled and Unlabeled Data with Co-training.
Proceedings of the 11
th
Annual Conference on
Computational Learning Theory: 92-100.
K. Forbes-Riley and D. ... human-
computer data (Litman and Forbes-Riley, 2004).
We will also conduct experiments comparing Co-
training with other semi-supervised approaches
such as self-training and Active learning.
6...
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Báo cáo khoa học: "Boosting Statistical Word Alignment Using Labeled and Unlabeled Data" ppt
Ngày tải lên :
08/03/2014, 02:21
... alignment
with limited labeled data and large amounts of
unlabeled data. In this algorithm, we built an in-
terpolated model by using both the labeled data
919
and the unlabeled data. This ... incor-
porating the unlabeled data. In this algo-
rithm, we build a word aligner by using
both the labeled data and the unlabeled
data. Then we build a pseudo reference
set for the unlabeled data, and ...
the unlabeled data to improve alignment results.
In fact, large amounts of unlabeled data are
available without difficulty, while labeled data is
costly to obtain. However, labeled data is...
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Báo cáo khoa học: "Active Learning with Confidence" doc
Ngày tải lên :
17/03/2014, 02:20
... popular solution is Active Learning,
which maximizes learning accuracy while minimiz-
ing labeling efforts. In active learning, the learning
algorithm itself selects unlabeled examples for anno-
tation. ... inter-
active learning. Experimental validation on a num-
ber of datasets shows that active learning with con-
fidence can improve standard methods.
2 Confidence-Weighted Linear Classifiers
Common online learning ... Pennsylvania
Philadelphia, PA 19104
{mdredze,crammer}@cis.upenn.edu
Abstract
Active learning is a machine learning ap-
proach to achieving high-accuracy with a
small amount of labels by letting the learn-
ing algorithm...
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Báo cáo khoa học: "An Empirical Study of Active Learning with Support Vector Machines for Japanese Word Segmentation" pptx
Ngày tải lên :
17/03/2014, 08:20
... Although there are
many active learning methods with various classi-
fiers such as a probabilistic classifier (McCallum and
Nigam, 1998), we focus on active learning with Sup-
port Vector Machines ... Joachims. 1998. Text categorization with sup-
port vector machines: Learning with many relevant
features. In Proceedings of the European Conference
on Machine Learning.
TakuKudo and Yuji Matsumoto. ... or domains and their performance of-
ten does not match one with a supervised learning
method.
Another promising approach is active learning, in
which a classifier selects examples to be labeled,...
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Learning 2.0 Case Database doc
Ngày tải lên :
23/03/2014, 16:21
... new ways
of learning; Improve
personalization of learning;
Improve learning results;
Improve management of
learning; Connect with
society; Provide improved
(peer) support for learning
Social ... Improve personalization of learning
Improve learning results Improve management of learning
Improve collaboration Connecting with society
Provide improved (peer) support for learning Other:
... contemporary e -learning (virtual learning environments, e-
moderation, free and open source software, social learning, knowledge management,
learning as a network phenomenon, learning (content)...
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Báo cáo khoa học: "Semi-Supervised Sequential Labeling and Segmentation using Giga-word Scale Unlabeled Data" pdf
Ngày tải lên :
23/03/2014, 17:20
... 1G-word unlabeled data
93.66 89.36 37M-word unlabeled data
(Ando and Zhang, 2005) 93.15 89.31 27M-word unlabeled data
(Florian et al., 2003) 93.87 88.76 own large gazetteers,
2M-word labeled data
(Suzuki ... PTB III data evaluated by label accuracy
system test additional resources
JESS-CM (CRF/HMM) 95.15 1G-word unlabeled data
94.67 15M-word unlabeled data
(Ando and Zhang, 2005) 94.39 15M-word unlabeled ... (+3.96)
Table 4: Results for POS tagging (PTB III data) , syntactic chunking (CoNLL’00 data) , and NER (CoNLL’03 data)
incorporated with 1G-words of unlabeled data, and the performance gain from supervised...
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Báo cáo khoa học: "Contrastive Estimation: Training Log-Linear Models on Unlabeled Data∗" potx
Ngày tải lên :
23/03/2014, 19:20
... from §4)
with EM on POS tagging using unlabeled data.
5.1 Comparison with EM
Our experiments are inspired by those in
Merialdo (1994); we train a trigram tagger using
only unlabeled data, assuming ... 96K dataset, as the smoothing parameter (λ in the case of EM, σ
2
in the
CE cases) varies. The model selected from each criterion using unlabeled development data is circled in the plot. Dataset ... correctly (with
coarse tags) on the 24K dataset, as the dictionary is diluted and
with spelling features. Each graph corresponds to a different
level of dilution. Models selected using unlabeled...
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Supporting Finite Element Analysis with a Relational Database Backend docx
Ngày tải lên :
30/03/2014, 22:20
... stored in the database, one with and one without duplicate entities. A client
application can select whichever view is appropriate. The object replication is implemented within the database as ... The former serve as metadata to interpret the latter. The relatively
large number of tables is due the number of modeling dimensions (with or without interfaces, with or without
particles, linear ... create a larger event loop to
incorporate new input data from the database. Here’s how it works.
First, let us assume we are starting with a small data set. This means that there is no terrible performance...
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Báo cáo khoa học: "Learning with Annotation Noise" docx
Ngày tải lên :
30/03/2014, 23:20
... annotated datasets, in order to di-
agnose the potential learning problem and suggest
mitigation strategies.
References
Dana Angluin and Philip Laird. 1988. Learning from
Noisy Examples. Machine Learning, ... confronted with annotation noise in training
data, irrespective of the size of the dataset. Finally,
we discuss the implications of our findings for the
practice of annotation studies and for data utiliza-
tion ... Schapire, and Linda Sellie.
1994. Toward Efficient Agnostic Learning. Ma-
chine Learning, 17(2):115–141.
Michael Kearns. 1993. Efficient Noise-Tolerant
Learning from Statistical Queries. In Proceedings
of...
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