support vector machine classification with indefinite kernels
phân loại văn bản bằng phương pháp support vector machine
Ngày tải lên :
19/02/2014, 09:07
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Luận văn Thạc sỹ
28
Support Vector Machine
CHƯƠNG 2. SUPPORT VECTOR MACHINE
Chương này tác giả sẽ đề cập tới quá trình hình thành và một số ...
SVM
Support Vector Machine Máy học vector hỗ trợ
SRM
Structural Risk Minimization Tối thiểu hoá rủi ro cấu trúc
VC
Vapnik-Chervonenkis Chiều VC
^ ]
Luận văn Thạc sỹ
48
Support Vector ...
41
Support Vector Machine
2.4. Một số phương pháp Kernel
Trong những năm gần đây, một vài máy học kernel, như Kernel
Principal Component Analysis, Kernel Fisher Discriminant và Support Vector...
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Tìm hiểu về support vector machine cho bài toán phân lớp quan điểm
Ngày tải lên :
18/03/2014, 10:25
... [-option] train_file model_file
6
CHƢƠNG 1: TÌM HIỂU VỀ SUPPORT VECTOR
MACHINE
1.1 PHÁT BIỂU BÀI TOÁN
Support Vector Machines (SVM) là kỹ thuật mới đối với việc phân lớp dữ
liệu, là ... nhau của các quan điểm và sử
dụng thuật toán Naïve Bayes (NB), Maximum Entropy (ME) và Support Vector
Machine (SVM) để phân lớp quan điểm. Phƣơng pháp này đạt độ chính xác từ 78,
7% đến 82, ... thuật lẫn ứng
dụng thực tế.
Nội dung cơ bản của luận văn bao gồm
Chương 2: Tìm hiểu về Support Vector Machine
Chương 2: Bài toán phân lớp quan điểm
Chương 3: Chương trình thực nghiệm
Phần...
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Gene Selection for Cancer Classification using Support Vector Machines pot
Ngày tải lên :
06/03/2014, 00:22
... since the
ranking criterion is computed with information about a single feature.
III. Feature ranking with Support Vector Machines
III.1. Support Vector Machines (SVM)
To test the idea of using ... support vector machines. O.
Chapelle, V. Vapnik, O. Bousquet, and S. Mukherjee. AT&T Labs technical
report. March, 2000.
(Cortes, 1995) Support Vector Networks. C. Cortes and V. Vapnik. Machine
Learning, ... tumor samples.
However, the support vectors do not show any such trend. There is a mix of
normal and cancer samples with either high or low muscle index.
Support vector samples -6 (T) 8 (N) 34...
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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
... with various classi-
fiers such as a probabilistic classifier (McCallum and
Nigam, 1998), we focus on active learning with Sup-
port Vector Machines (SVMs) because of their per-
formance.
The Support ... 45–52.
Thorsten 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. ... support
vector learning for chunk identification. In Proceed-
ings of the 4th Conference on CoNLL-2000 and LLL-
2000, pages 142–144.
Taku Kudo and Yuji Matsumoto. 2001. Chunking with
support vector...
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Bài soạn ONE – CLASS SUPPOR VECTOR MACHINES (SVMS) WITH A CONFORMAL KERNEL
Ngày tải lên :
26/11/2013, 17:11
... C.Cortes and V.Vapnik. Support vector networks. Machine Learning, 20(3) : 273 –
297, September 1995.
9. N.Cristianini and Taylor J.S. An Introduction to Support Vector Machines.Cambridge
University ... methods : Support vector learning, 1999.
7. G.Cohen, M. Hilario, H. Sax, and S.Hugonnet. Asymmetrical margin approach to
surveillance of nosocomial infections using support vector classification. ... 783-789,1999.
3. S Amari and S. Wu. An information-geometrical method for improving the
performance of support vector machine classifiers. In ICANN99, pages 85-90,1999.
4. C.Bishop.Novelty detection and neural...
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Tài liệu Báo cáo khoa học: "Translation Model Adaptation for Statistical Machine Translation with Monolingual Topic Information" doc
Ngày tải lên :
19/02/2014, 19:20
... statistical machine
translation. Machine Translation, pages 187-207.
Nicola Ueffing, Gholamreza Haffari and Anoop Sarkar.
2008. Semi-supervised Model Adaptation for Statisti-
cal Machine Translation. Machine ... scores under the condition within the range
[25K, 80K] are all higher than the ones within the
range [5K, 20K]. When N is set to 55K, the BLEU
score of our system is 21.40, with 1.18 gains on the
baseline ... Statistical Machine Translation
with Domain Dictionary and Monolingual Corpora. In
Proc. of COLING 2008, pages 993-1000.
Richard Zens and Hermann Ney. 2004. Improvments in
phrase-based statistical machine...
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Tài liệu Báo cáo khoa học: "Improving Statistical Machine Translation with Monolingual Collocation" pdf
Ngày tải lên :
20/02/2014, 04:20
... monolingual sentence,
i
denotes the number of words that are aligned
with
i
w
. Since a word never collocates with itself,
the alignment set is denoted as
}&],1[|),{( ialiaiA
ii
. ... 11-16 July 2010.
c
2010 Association for Computational Linguistics
Improving Statistical Machine Translation with
Monolingual Collocation
Zhanyi Liu
1
, Haifeng Wang
2
, Hua Wu
2
, Sheng Li
1
...
Table 5. Performances of Moses employing
our proposed methods (Significantly better than
baseline with p < 0.01)
using the same methods as those shown in Table
3. Here, we investigate three...
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Tài liệu Báo cáo khoa học: "Corpus Expansion for Statistical Machine Translation with Semantic Role Label Substitution Rules" doc
Ngày tải lên :
20/02/2014, 04:20
... inter-
polating the phrase table with the baseline phrase ta-
ble, we observed improvement on Chinese-English
machine translation tasks and the performance is
comparable to system trained with larger manually
collected ... Kadri Hacioglu,
James H. Martin, and Daniel Jurafsky. 2004. Shal-
low semantic parsing using support vector machines.
In Proceedings of the Human Language Technology
Conference/North American chapter ... Baseline system, GS: System trained with only gen-
erated sentence pairs, IT: Interpolated phrase table with
GS and BL,. GA and IA are GS and IT systems trained
with baseline word alignment models...
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Tài liệu Báo cáo khoa học: "Support Vector Machines for Query-focused Summarization trained and evaluated on Pyramid data" ppt
Ngày tải lên :
20/02/2014, 12:20
... Sessions, pages 57–60,
Prague, June 2007.
c
2007 Association for Computational Linguistics
Support Vector Machines for Query-focused Summarization trained and
evaluated on Pyramid data
Maria Fuentes
TALP ... Center
Universitat Polit`ecnica de Catalunya
horacio@lsi.upc.edu
Abstract
This paper presents the use of Support
Vector Machines (SVM) to detect rele-
vant information to be included in a query-
focused summary. ... several
models trained from the information in the DUC-
2006 manual pyramid annotations using Support
Vector Machines (SVM). The evaluation, performed
on the DUC-2005 data, has allowed us to discover
the...
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Tài liệu Báo cáo khoa học: "Reading Level Assessment Using Support Vector Machines and Statistical Language Models" pdf
Ngày tải lên :
20/02/2014, 15:20
... resulting vocabu-
lary consisted of 276 words and 56 POS tags.
4.3 Support Vector Machines
Support vector machines (SVMs) are a machine
learning technique used in a variety of text classi-
fication ... reading level, with trigram models being no-
ticeably more accurate than bigrams and unigrams.
Combining information from statistical LMs with
other features using support vector machines pro-
vided ... range, with all but
one over 40%. Although our training corpus is small
the feature selection described in Section 4.2 allows
us to use these higher-order trigram models.
5.3 Support Vector Machine...
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Tài liệu Nutritional care and support for people living with HIV/AIDS A training course pptx
Ngày tải lên :
21/02/2014, 17:20
... acknowledge or obtain
their support for nutritional care and support activities for people living with HIV.
Decide whom to invite in good time. Send an invitation with a short description of ... initiatives to promote care and support for people living with HIV. Offer to
provide additional information if required.
Nutrition Care and Support for People Living with HIV: Director’s Guide ... skills, nutrition,
community development /support and the clinical care of people living with HIV.
Nutrition Care and Support for People Living with HIV: Director’s Guide
8
Section
SectionSection
Section...
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Báo cáo khoa học: "Enhancing Language Models in Statistical Machine Translation with Backward N-grams and Mutual Information Triggers" ppt
Ngày tải lên :
07/03/2014, 22:20
... statistical
machine translation: Parameter estimation. Computa-
tional Linguistics, 19(2):263–311.
Eugene Charniak, Kevin Knight, and Kenji Yamada.
2003. Syntax-based language models for statistical
machine ... tests for
machine translation evaluation. In Proceedings of
EMNLP 2004, pages 388–395, Barcelona, Spain, July.
Arne Mauser, Sa
ˇ
sa Hasan, and Hermann Ney. 2009. Ex-
tending statistical machine ... statistical machine translation. In Proceed-
ings of AMTA.
Sylvain Raybaud, Caroline Lavecchia, David Langlois,
and Kamel Sma
¨
ıli. 2009. New confidence measures
for statistical machine translation....
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Báo cáo khoa học: "Joint Bilingual Sentiment Classification with Unlabeled Parallel Corpora" potx
Ngày tải lên :
17/03/2014, 00:20
... Methods -
Support Vector Learning, B. Schölkopf, C. Burges,
and A. Smola (ed.), MIT Press.
Thorsten Joachims. 1999b. Transductive inference for
text classification using support vector machines. ... tree-based sentiment classification
using CRFs with hidden variables. In Proceedings of
NAACL/HLT ‘10.
Kamal Nigam, Andrew K. Mccallum, Sebastian Thrun,
and Tom Mitchell. 2000. Text classification ...
2002. Thumbs up? Sentiment classification using
machine learning techniques. In Proceedings of
EMNLP’02.
Peter Prettenhofer and Benno Stein. 2010. Cross-
language text classification using structural...
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Báo cáo khoa học: "Machine Translation with a Stochastic Grammatical Channel" doc
Ngày tải lên :
17/03/2014, 07:20
... been analyzed mathematically, linguisti-
2With the exception of higher-order phenomena such as
neg-raising and wh-movement.
1409
Machine Translation with a Stochastic Grammatical Channel
Dekai ... grammatical channel
model for machine translation, that synthesizes sev-
eral desirable characteristics of both statistical and
grammatical machine translation. As with the
pure statistical translation ...
right of the dot are called subtree.
As with Wu's SBTG model, the algorithm max-
imizes a probabilistic objective function, Equa-
Machine Translation with a Stochastic Grammatical Channel...
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