label propagation semi supervised learning
Báo cáo khoa học: "Relation Extraction Using Label Propagation Based Semi-supervised Learning" potx
Ngày tải lên :
08/03/2014, 02:21
... Zoubin. 2002. Learning
from Labeled and Unlabeled Data with Label Propa-
gation. CMU CALD tech report CMU-CALD-02-107.
Zhu Xiaojin, Ghahramani Zoubin, and Lafferty J. 2003.
Semi- Supervised Learning ... smooth the labels of unlabeled
examples. Therefore, the labels of unlabeled exam-
ples are determined not only by the nearby labeled
examples, but also by nearby unlabeled examples.
For supervised ... traditional semi-
supervised learning methods in that they use graph
structure to smooth the labeling function.
To the best of our knowledge, no work has been
done on using graph based semi- supervised learning
algorithms...
- 8
- 343
- 1
Semi – supervised learning
Ngày tải lên :
25/04/2013, 19:30
... Semi – Superviesd learning
Chương II: HỌC NỬA GIÁM SÁT
(Semi- supervised learning )
I. TỔNG QUAN
1.1 Giới thiệu về học có giám sát (supervised learning) và không có giám
sát (unsupervised learning)
a. ... BAN ĐẦU ĐÃ ĐẠT ĐƯỢC
II. HƯỚNG PHÁT TRIỂN
SEMI – SUPERVISED LEARNING
MỤC LỤC
Semi – supervised learning 1
Chương I: GIỚI THIỆU VỀ MÁY HỌC 4
( Machine learning ) 4
I GIỚI THIỆU: 5
1.1Định nghĩa ...
Chương II: HỌC NỬA GIÁM SÁT (Semi- supervised learning )
I. TỔNG QUAN
1.1 Giới thiệu về học có giám sát (supervised learning) và không có giám sát
(unsupervised learning)
a. Học có giám sát:...
- 31
- 819
- 6
Semi - Supervised learning
Ngày tải lên :
27/04/2013, 21:02
... II: HỌC NỬA GIÁM SÁT 14
(Semi- supervised learning ) 14
I. TỔNG QUAN 14
1.1 Giới thiệu về học có giám sát (supervised learning) và không có giám sát
(unsupervised learning) 14
a. Học có giám ... TUYẾN
Semi – Superviesd learning Nguyễn Ngọc Tùng – K54B - CNTT
14
Chương II: HỌC NỬA GIÁM SÁT
(Semi- supervised learning )
I. TỔNG QUAN
1.1 Giới thiệu về học có giám sát (supervised learning) ... vực thực tế.
THƯ VIỆN ĐIỆN TỬ TRỰC TUYẾN
Semi – Superviesd learning Nguyễn Ngọc Tùng – K54B - CNTT
12
ã
Hc na giỏm sỏt (semi- supervised learning) kết hợp các ví dụ có
gắn nhãn và không...
- 30
- 361
- 0
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
... http://metaoptimize.
com/projects/wordreprs/
1 Introduction
By using unlabelled data to reduce data sparsity
in the labeled training data, semi- supervised
approaches improve generalization accuracy.
Semi- supervised models such as Ando ... “less
is more” in unsupervised dependency parsing.
NAACL-HLT.
Suzuki, J., & Isozaki, H. (2008). Semi- supervised
sequential labeling and segmentation using
giga-word scale unlabeled data. ACL-08: ... (In Suzuki et al.
(2009), they extend their semi- supervised ap-
proach to more general conditional models.) One
of the advantages of the semi- supervised learning
approach that we use is that it...
- 11
- 687
- 0
Tài liệu Báo cáo khoa học: "Semi-supervised Learning of Dependency Parsers using Generalized Expectation Criteria" ppt
Ngày tải lên :
20/02/2014, 07:20
... robust, scal-
able semi- supervised learning via expectation regulariza-
tion. In ICML.
G. Mann and A. McCallum. 2008. Generalized expectation
criteria for semi- supervised learning of conditional ... supervised
CRF supervised
CRF restricted GE
CRF GE
CRF GE human
Figure 1: Comparison of the constraint baseline and
both GE and supervised training of the restricted and
full CRF. Note that supervised ... model.
Conventional semi- supervised learning requires
parsed sentences. Kate and Mooney (2007) and
McClosky et al. (2006) both use modified forms
of self-training to bootstrap parsers from limited
labeled...
- 9
- 403
- 1
Tài liệu Báo cáo khoa học: "A Graph-based Semi-Supervised Learning for Question-Answering" doc
Ngày tải lên :
20/02/2014, 07:20
... lim-
ited amount of labeled data, i.e., correctly labeled
(true/false entailment) sentences. Recent research
indicates that using labeled and unlabeled data in
semi- supervised learning (SSL) environment, ... implement a semi- supervised
learning (SSL) approach to demonstrate
that utilization of more unlabeled data
points can improve the answer-ranking
task of QA. We create a graph for labeled
and unlabeled ...
d
characterizing the entailment
information between them.
3 Graph Based Semi- Supervised
Learning for Entailment Ranking
We formulate semi- supervised entailment rank
scores as follows. Let each data point...
- 9
- 502
- 1
Tài liệu Báo cáo khoa học: "Generalized Expectation Criteria for Semi-Supervised Learning of Conditional Random Fields" pdf
Ngày tải lên :
20/02/2014, 09:20
... fields, a new
semi- supervised training method that makes use of
labeled features rather than labeled instances. Pre-
vious semi- supervised methods have typically used
ad-hoc feature majority label assignments ... explored
semi- supervised or unsupervised approaches to the
same problems, seeking to improve accuracy with
the addition of lower cost unlabeled data. Tradi-
tional approaches to semi- supervised learning ... Features
99 Labeled Features
CRR07 + inference time constraints
Figure 2: Accuracy of supervised and semi- supervised
learning methods for fixed numbers of labeled tokens.
Training a GE model with only labeled...
- 9
- 492
- 1
Tài liệu Báo cáo khoa học: "Semi-Supervised Learning of Partial Cognates using Bilingual Bootstrapping" doc
Ngày tải lên :
20/02/2014, 12:20
... the testing set. Results for this
method are presented later, in Table 5.
5.2 Semi- Supervised Method
For the semi- supervised method we add unla-
belled examples from monolingual corpora: the ... contains a par-
tial cognate are: COG (cognate) and FF (false-
friend).
5.1 Supervised Method
For both the supervised and semi- supervised
method we used the bag-of-words (BOW) ap-
proach of modeling ... Machine Trans-
lation tools and for Computer-Assisted
Language Learning tools. In this paper
we propose a supervised and a semi-
supervised method to disambiguate par-
tial cognates between two...
- 8
- 418
- 1
Báo cáo khoa học: "Experiments in Graph-based Semi-Supervised Learning Methods for Class-Instance Acquisition" docx
Ngày tải lên :
07/03/2014, 22:20
... matrix of soft label assign-
ments, with
ˆ
Y
vl
representing the score of label l
on node v. A graph-based SSL computes
ˆ
Y from
{G, SY }.
2.2 Label Propagation (LP-ZGL)
The label propagation method ... ∈ V is
labeled. That is, S identifies the labeled nodes in
the graph. C is the set of labels, with |C| = m
representing the total number of labels. Y is the
n ì m matrix storing training label ... class. This
line of work has evolved to incorporate ideas from
graph-based semi- supervised learning in extrac-
tion from semi- structured text (Wang and Cohen,
2007), and in combining extractions...
- 9
- 405
- 1
Báo cáo khoa học: "Learning Translation Consensus with Structured Label Propagation" potx
Ngày tải lên :
23/03/2014, 14:20
... expected that an unlabeled instance/node will
find the most suitable label from similar labeled
nodes.
3.2 Structured Label Propagation for Graph-
based Learning
In structured learning like MT, ... source sentences as structured
labeling. We propose a novel label propagation
algorithm for structured labeling, which is much
more efficient than simple label propagation, and
derive useful ... structured label propagation method for
structured learning problems, such as machine
translation. Note that, the structured label
propagation can be applied to other structured
learning tasks,...
- 9
- 312
- 0
Báo cáo khoa học: "A Semi-Supervised Key Phrase Extraction Approach: Learning from Title Phrases through a Document Semantic Network" docx
Ngày tải lên :
23/03/2014, 16:20
... ranking problem solved by either supervised or
unsupervised methods. Supervised learning re-
quires a large amount of expensive training data,
whereas unsupervised learning totally ignores
human ... use of the semantic information is to
rank phrases with a semi- supervised learning
strategy, where the title phrases are regarded as
labeled samples, while the other phrases as unla-
beled ones. ... influence of title
phrases is propagated to the other phrases itera-
tively.
The goal of the semi- supervised learning is to
design a function that is sufficiently smooth with
respect to the intrinsic...
- 5
- 367
- 0