support vector machine example in r
phân loại văn bản bằng phương pháp support vector machine
Ngày tải lên :
19/02/2014, 09:07
... thức trong CSDL
KNN
K Neighbourhood Nearest K láng giêng gần nhất
ODM
Oracle Data Mining Khai phá dữ liệu Oracle
SVM
Support Vector Machine Máy học vector hỗ trợ
SRM
Structural Risk Minimization ... Frequency Tần xuất tài liệu
ERM
Empirical Risk Minimization Tối thiểu hoá r i ro theo kinh
nghiệm
IG
Information Gain Thu nhận thông tin
KDD
Knowledge Discovery in Database Khai phá tri ...
Trong những năm gần đây, một vài máy học kernel, như Kernel
Principal Component Analysis, Kernel Fisher Discriminant và Support Vector
Machines đã được đưa ra. Các cách tiếp cận đó đã nhận được...
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Phương pháp học máy với Support vector machine trong nhận dạng chữ viết tay trực tuyến
Ngày tải lên :
14/03/2014, 23:35
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K+>K*...
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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
... lớp Support Vector Machine với các đặc trƣng Uni-
gram và Bigram nhƣ sau:
Đặc trƣng
Uni-gram
Bi-gram
Độ chính xác (Precision)
91,38 %
56,49%
Độ phản hồi (Recall)
91,54%
58%
Chƣơng trình ... 8% đăng trực tuyến bình luận chính trị riêng của họ.
. Theo Horrigan r ng trong khi đa
số ngƣời sử dụng internet của Mỹ kinh nghiệm tích cực trong
trực tuyến, 58% cho r ng thông tin trực tuyến ... [-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...
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Báo cáo khoa học: "A Novel Discourse Parser Based on Support Vector Machine Classification" docx
Ngày tải lên :
30/03/2014, 23:20
... machine learning (mul-
tivariate capabilities of Support Vector
Machines) and a rich feature space. RST
offers a formal framework for hierarchical
text organization with strong applications
in ... comparison with
other systems.
In each case, parse trees are evaluated using the
four following, increasingly complex, matching
criteria: blank tree structure (‘S’), tree structure
with nuclearity ... Institute
for Informatics (Tokyo), as part of a MOU
(Memorandum of Understanding) program with
Pierre & Marie Curie University (Paris).
672
❘
TEMPORAL
After plummet-
ing 1.8% at one
point during...
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Tài liệu Support for Information Management in Virtual Organizations doc
Ngày tải lên :
20/12/2013, 19:15
...
person on request in order to maintain the transparency within the system.
All the above information providers require the information and resource
maintainers who would maintain the information ... information)
2) (Program responsible, provides program information)
3) (Librarian, provides literature information)
4) (Students administrator, provides all student service information and
support) ... providers are any one in the university who maintains the valid
information for the students. Some of the these information providers are
(Actor, Role)
1) (Course coordinator, provides course information)...
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Chapter 7 machine equations in operational impedances and time constants
Ngày tải lên :
16/02/2014, 18:47
... necessary. For example, when representing solid iron rotor machines, it
may be necessary to use three or more rotor windings in each axis so that transient
dynamics are accurately represented. ... SYNCHRONOUS
MACHINE WITH FOUR ROTOR WINDINGS
In Chapter 5 , the synchronous machine was represented with a fi eld winding and one
damper winding in the d -axis and with two damper windings in the q ... given in Figure 7.8-1 for a three-rotor
winding approximation.
12. Determine the parameters of a three-rotor winding approximation of X
q
( s ) shown
in Figure 7.8-2 .
13. Repeat Problem...
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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
... 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 SVMs are
trained using information from ... models for the summary au-
tomatic construction. This paper describes several
models trained from the information in the DUC-
2006 manual pyramid annotations using Support
Vector Machines (SVM). ... fragment
after the marker, e.g. first of all), or discourse
markers affecting both sides, e.g. that’s why.
• Several boolean features to mark whether the
sentence starts with or contains a particular
word...
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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
... tags.
4.3 Support Vector Machines
Support vector machines (SVMs) are a machine
learning technique used in a variety of text classi-
fication problems. SVMs are based on the principle
of structural risk ... unigrams.
Combining information from statistical LMs with
other features using support vector machines pro-
vided the best results. Future work includes testing
additional classifier features, e.g. parser ... the trigram models outperform
the lower-order models. Error rates for the bigram
models range from 37-45% and the unigram mod-
els have error rates in the 39-49% range, with all but
one over 40%....
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Gene Selection for Cancer Classification using Support Vector Machines pot
Ngày tải lên :
06/03/2014, 00:22
... effect on correlation methods 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 ... use four metrics of classifier quality (see Figure 1):
- Error (B1+B2) = number of errors (“bad”) at zero rejection.
- Reject (R1 +R2 ) = minimum number of rejected samples to obtain zero error.
- ... the remaining training data and then testing on the removed example. In
this fashion one tests all examples of the training data and measures the fraction
of errors over the total number of training...
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Báo cáo khoa học: Metabolomics, modelling and machine learning in systems biology – towards an understanding of the languages of cells potx
Ngày tải lên :
07/03/2014, 12:20
... knowledge
from unstructured textual data, contrasting it with data
mining (e.g. [296,297]). which discovers knowledge from
structured data. Text mining comprises three major
activities: information retrieval, ... for probabilistic protein
design. Comput Chem Eng 29, 407–421.
233 Schueler-Furman O, Wang C, Bradley P, Misura K &
Baker D (2005) Progress in modeling of protein struc-
tures and interactions. ... Patil KR, Rocha I, Forster J & Nielsen J (2005) Evolu-
tionary programming as a platform for in silico meta-
bolic engineering. BMC Bioinformatics 6, 308.
81 Fersht A (1977) Enzyme Structure...
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Báo cáo khoa học: " The Work on Machine Translation in the Soviet Union" pot
Ngày tải lên :
07/03/2014, 18:20
... also for the recording of information in
information machines.
Along with work on the algorithms of machine
translation from foreign languages into Russian
and from Russian into foreign languages ... been
investigated in the Soviet Union since 1955.
1
A
number of groups are carrying out theoretical
and experimental work in the area of machine
translation.
In the Institute of Precision ... "Concerning Certain Gen-
eral Problems of Machine Translation," Ab-
stracts of the Conference on Machine Transla-
tion, Moscow, 1958, pp. 10-14, (hereafter re-
ferred to as Abstracts...
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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
... is more: Ac-
tive learning with support vector machines. In Pro-
ceedings of the Seventeenth International Conference
on Machine Learning.
Hiroyuki Shinnou. 2000. Deterministic Japanese word
segmentation ... pool. Surprisingly, the per-
formance of a larger pool is worse than that of a
smaller pool in the early stage of training
5
. One rea-
son for this could be that support vectors in selected
examples ... sup-
port vector machines: Learning with many relevant
features. In Proceedings of the European Conference
on Machine Learning.
TakuKudo and Yuji Matsumoto. 2000a. Japanese depen-
dency structure...
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ORGANIZATIONAL LEARNING THROUGH POST-PROJECT REVIEWS IN R&D doc
Ngày tải lên :
23/03/2014, 04:21
... learning
in current PPR practices. Most can be generally
described as ‘single-loop’ and are therefore restricting
their inherent learning potential.
4. A review of current post-project review
practices ... further in the
direction of inter-project learning capabilities – and
barriers – in post-project reviews in R& amp;D.
3.2. From team learning to organizational
learning
Argyris (1977) defined organizational ... bias
Psychological
Barriers to
Learning from Post
Project Reviews
•
•
Figure 4. Four major barriers to learning from post-project reviews.
Learning through post-project reviews
#
Blackwell Publishers Ltd 2002 R& amp;D...
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Báo cáo khoa học: "Joint Training of Dependency Parsing Filters through Latent Support Vector Machines" pptx
Ngày tải lên :
23/03/2014, 16:20
... Linguistics
Joint Training of Dependency Parsing Filters through
Latent Support Vector Machines
Colin Cherry
Institute for Information Technology
National Research Council Canada
colin.cherry@nrc-cnrc.gc.ca
Shane ... filter arcs before carrying out fea-
ture extraction. It is trained using 5-best MIRA
(Crammer and Singer, 2003).
Following Bergsma and Cherry (2010), we mea-
sure intrinsic filter quality with reduction, ... Joakim Nivre. 2007. Characteriz-
ing the errors of data-driven dependency parsing mod-
els. In EMNLP-CoNLL.
Ryan McDonald, Koby Crammer, and Fernando Pereira.
2005. Online large-margin training of...
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Báo cáo khoa học: "Word Frequency Distributions in R" pdf
Ngày tải lên :
31/03/2014, 01:20
... toolkit in order to remedy this situation.
2 LNRE models
In the field of LNRE modeling, we are not interested
in the frequencies or probabilities of individual word
types (or types of other linguistic ... English very cumber-
some) and works reliably only for rather small data
sets, well below the sizes now routinely encountered
in linguistic research (cf. the problems reported in
Evert and Baroni ... tokenized
(sub-)corpora (one word per line). Thus, as long as
users can extract frequency data or at least tokenize
the corpus of interest with other tools, they can per-
form all further analysis with zipfR.
Suppose...
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