o glycosylation by support vector machines and semi supervised learning

Tài liệu Báo cáo khoa học: "Reading Level Assessment Using Support Vector Machines and Statistical Language Models" pdf

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
... classification work, e.g Lee and Myaeng’s (2002) genre and subject detection work and Boulis and Ostendorf’s (2005) work on feature selection for topic classification For our LM classifiers, we followed Boulis ... likelihood estimate based on the observed frequency in a training corpus and smoothed using modified Kneser-Ney smoothing (Chen and Goodman, 1999) We used the SRI Language Modeling Toolkit (Stolcke, ... minimum cost operating point in order to get a threshold for precision and recall calculations The minimum cost operating point depends on the relative costs of misses and false alarms; it is conceivable...
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face recognition by support vector machines

face recognition by support vector machines

Ngày tải lên : 24/04/2014, 12:36
... experiments by SVMs and carry out comparisons with other approaches The conclusion is given in Section Support Vector Machines for Pattern Recognition 2.1 Basic Theory of Support Vector Machines For a ... While the former often leads to ambiguous classification [10], we adopt the latter one for our face recognition system We propose to construct a bottom-up binary tree for classification Suppose there ... Computer Vision, 14:5–24, 1995 [9] E Osuna, R Freund, and F girosi Training support vector machines: an application to face detection Proc CVPR, 1997 [10] M Pontil and A Verri Support vector...
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Báo cáo khoa học: "A Combination of Active Learning and Semi-supervised Learning Starting with Positive and Unlabeled Examples for Word Sense Disambiguation: An Empirical Study on Japanese Web Search Query" pdf

Báo cáo khoa học: "A Combination of Active Learning and Semi-supervised Learning Starting with Positive and Unlabeled Examples for Word Sense Disambiguation: An Empirical Study on Japanese Web Search Query" pdf

Ngày tải lên : 23/03/2014, 17:20
... text query for initial positive examples Wega Loft Wega AND TV Loft AND (Grocery ORStationery) Honda AND Keisuke Tsubaki AND Shiseido Honda Tsubaki Loft store name Honda personal name (football player) ... Behavior of Active Learning for Word Sense Disambiguation, Proc of the main conference on Human Language Technology Conference of the North American Chapter of ACL, pp 120-127 McCallum, A and Nigam, ... does not need pseudo negative examples The control of τ depending on the number of hand labeled examples during active learning iterations is a future issue The accuracy of the proposed approach...
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Tài liệu Báo cáo khoa học: "Support Vector Machines for Query-focused Summarization trained and evaluated on Pyramid data" ppt

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
... Conclusions and future work L.M Manevitz and M Yousef 2001 One-class SVM for document classification Journal of Machine Learning Research The pyramid annotations are a valuable source of information ... automatic procedure used in DUC, is based on n-gram co-occurrences Both ROUGE-2 (henceforward R-2) and ROUGE-SU4 (R-SU4) has been used to rank automatic summaries AutoPan is a procedure for automatically ... of text summaries to SCUs in pyramids, in the following way: first, the text in the SCU label and all its contributors is stemmed and stop words are removed, obtaining a set of stem vectors for...
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e. osuna, r. freund, and f. girosi, training support vector machines- an application to face detection

e. osuna, r. freund, and f. girosi, training support vector machines- an application to face detection

Ngày tải lên : 24/04/2014, 12:33
... Number of Support Vectors 800 900 1000 X 300 0.5 0 0.5 1.5 2.5 3.5 Number of Samples 4.5 x 10 41 Time (hours) Number of Global Iterations 1.5 2.5 3.5 10 12 14 4.5 16 0.5 1.5 2.5 3.5 Number of ... Number of Samples x 10 4 4.5 hE F9 0 300 0.5 1.5 2.5 3.5 Number of Samples x 10 4 4.5 0.5 400 Time (hours) Number of Support Vectors 1.5 2.5 3.5 500 600 700 800 900 4.5 1000 G 9' ) & ) b X & G ...  â ẳ ầ ẳ ằ ệ  ầ w ả  eWẳbcấs(sâăysbkầ o0 ứ'ăs0Wợt bửbcs ỹ ắ ầ ẳ ầắ ầ ẳ ẳ % # ! Ư $ pofè ƠRsẫăyầằtpèmComứWệsằokăfăWẵằ &$ $"  #âÔƯ ' Â  ( & ` ` ƠHD#5#A x D B D' B b...
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Báo cáo hóa học: " The Optimal Design of Weighted Order Statistics Filters by Using Support Vector Machines" doc

Báo cáo hóa học: " The Optimal Design of Weighted Order Statistics Filters by Using Support Vector Machines" doc

Ngày tải lên : 22/06/2014, 23:20
... “SSVM: a smooth support vector machine for classification,” Computational Optimization and Applications, vol 20, no 1, pp 5–22, 2001 [4] O L Mangasarian, “Generalized support vector machines, ” ... technique to approximate optimal WOS filters The proposed technique, based on threshold composition, uses a dichotomous approach to reduce the Boolean computing from 255 levels to two levels Then ... definition of the WOS filters can be rewritten as A NEW DICHOTOMOUS TECHNIQUE FOR DESIGNING WOS FILTERS This section proposes a new approach which adopts the concept of dichotomy and reduces Boolean...
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Kernel Methods and Support Vector Machines

Kernel Methods and Support Vector Machines

Ngày tải lên : 12/10/2015, 08:47
... Content Introduction Linear support vector machines Nonlinear support vector machines Multiclass support vector machines Other issues Challenges for kernel methods and SVMs Introduction  ... “small” class of functions Content Introduction Linear support vector machines Nonlinear support vector machines Multiclass support vector machines Other issues Challenges for kernel methods and SVMs ... representation of the form f (.)   a i K (., xi ) i1 Content Introduction Linear support vector machines Nonlinear support vector machines Multiclass support vector machines Other issues Challenges for...
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Gene Selection for Cancer Classification using Support Vector Machines pot

Gene Selection for Cancer Classification using Support Vector Machines pot

Ngày tải lên : 06/03/2014, 00:22
... existence of such support vectors is at the origin of the computational properties of SVM and their competitive classification performance While SVMs base their decision function on the support vectors ... is non-linearly separable or poorly conditioned In such cases, some of the support vectors may not lie on the margin Most authors use either λ or C We use a small value of λ (of the order of 10-14) ... This opens the door to a possible new diagnosis test for colon cancer as well In addition we identified 60S ribosomal protein L24 (Arabidopsis thaliana) This non-human protein is homologous to a...
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Báo cáo khoa học: "An Empirical Study of Active Learning with Support Vector Machines for Japanese Word Segmentation" pptx

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
... of the algorithm depending on what kind of example is found informative Previous Algorithm Two groups have proposed an algorithm for SVMs active learning (Tong and Koller, 2000; Schohn and Cohn, ... larger pool requires more examples than that with a smaller pool does (to be described in Section 5) In order to overcome the weakness, we propose two new algorithms We call them Two Pool Algorithm ... It has two pools, i.e., a primary pool and a secondary one, and moves gradually unlabeled examples to the primary pool from the secondary instead of using a large pool from the start of training...
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Báo cáo khoa học: "Joint Training of Dependency Parsing Filters through Latent Support Vector Machines" pptx

Báo cáo khoa học: "Joint Training of Dependency Parsing Filters through Latent Support Vector Machines" pptx

Ngày tải lên : 23/03/2014, 16:20
... are scored independently and coupled only through score comparison, the impact of Vine a and None a on classification speed should be no greater than doing vine and token-role filtering in sequence ... threshold considers arc and token views of the data simultaneously Results are shown in Table Our complete system outperforms all variants in terms of both coverage and reduction However, one can ... to be not only important, but also low-variance, and therefore easy This leads to overfitting We had hoped that the benefits of joint training would outweigh this drawback, but our results show...
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Báo cáo khoa học: "Automatic Prediction of Cognate Orthography Using Support Vector Machines" potx

Báo cáo khoa học: "Automatic Prediction of Cognate Orthography Using Support Vector Machines" potx

Ngày tải lên : 31/03/2014, 01:20
... acquisition from comparable corpora carried out by Koehn and Knight (2002) – who expand a list of English-German cognate words by applying wellestablished transformation rules (e.g substitution of k or ... passed on to SVMTlearn, the learning module of SVMTool At this point the focus switches over to the tool itself, which learns regular patterns using Support Vector Machines and then uses the information ... to a correct output Decisions were made by an annotator with a well-grounded knowledge of Support Vector Machines and their behaviour, which turned out to be quite useful when deciding which output...
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a tutorial on support vector machines for pattern recognition

a tutorial on support vector machines for pattern recognition

Ngày tải lên : 24/04/2014, 12:25
... ØĨ ƠƯ Ø Ú ¸ × Ị Ø ỊĨ Đ Ị ĐÙĐ ĨƯ Ø Ú ÐÙ × Ĩ ¾ Ø ×Ø º 0.7 0.6 0.65 VC Bound : Actual Risk * 100 Actual Risk : SV Bound : VC Bound 0.7 0.5 0.4 0.3 0.2 0.1 0.6 0.55 0.5 0.45 0.4 0.35 ÙƯ ½ º Ì 100 ... Ư Ý ´× Ị´«Üµµ¸ ×Ơ Ø Ị¬Ị Ø Ỵ Đ Ị× ĨỊº Ý ÅỊĐÞỊ 1.4 VC Confidence 1.2 0.8 0.6 0.4 0.2 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 h / l = VC Dimension / Sample Size ÙƯ ¿º Ỵ ĨỊ¬ Ị × ĐĨỊĨØĨỊ Ị ÙƯ ¿ × ĨÛ× ... Ì × × Ứ Ð ƠƯĨƠ ỪÝ Û Û ÐÐ ÐÐĨÛ Ù× ØĨ Ị Ư Ð Þ Ø ƠƯĨ ÙƯ ØĨ Ø ỊĨỊÐ Ị Ư × ´Ë Ø ĨỊ µº w H2 -b |w| H1 Origin Margin ÙƯ º Ä Ị Ì Ù׸ Û Ị ÕÙ Ð ØÝ Ø ĨỊ×ØƯ ƯĨĐ Ø Ĩ ĐÙÐØ ƠÐ Ư× Ư× Ơ Ư ØỊ ÝƠ ƯƠÐ Ị × ĨƯ Ø ×Ơ...
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ivanciuc applications of support vector machines in chemistry

ivanciuc applications of support vector machines in chemistry

Ngày tải lên : 02/06/2014, 09:46
... Classifiers by Smola et al.,15 Learning and Soft Computing by Kecman,16 Learning with Kernels by Scholkopf and ¨ Smola,17 Learning to Classify Text Using Support Vector Machines: Methods, Theory, and ... basis of these algorithms, including Advances in Kernel Methods: Support Vector Learning by Scholkopf ¨ et al.,13 An Introduction to Support Vector Machines by Cristianini and Shawe–Taylor,14 ... kernel is not a good choice, because it requires too many support vectors 332 Applications of Support Vector Machines in Chemistry Figure 37 SVM classification models obtained with the exponential...
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Báo cáo hóa học: " Research Article Bird Species Recognition Using Support Vector Machines" doc

Báo cáo hóa học: " Research Article Bird Species Recognition Using Support Vector Machines" doc

Ngày tải lên : 22/06/2014, 20:20
... ∗ ∗ ∗ ∗ SUPPORT VECTOR MACHINE (SVM) CLASSIFICATION Support vector machines and other kernel-based methods have become a popular tool in many kinds of machine learning tasks In audio processing, ... the comparison of syllable histograms Previous works have studied only birds whose vocalization is mostly tonal or harmonic However, many birds produce also inharmonic or noise-like sounds [14] ... from continuous recordings,” The Journal of the Acoustical Society of America, vol 100, no 2, pp 1209–1219, 1996 [7] J A Kogan and D Margoliash, “Automated recognition of bird song elements from...
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Transductive Support Vector Machines for Cross-lingual Sentiment Classification

Transductive Support Vector Machines for Cross-lingual Sentiment Classification

Ngày tải lên : 01/08/2014, 17:53
... classification of reviews In Proceedings of ACL [15] J.M Wiebe, T Wilson and M Bell, 2001 Identifying collocations for recognizing opinions In Proceedings of the ACL/EACL Workshop on Collocation [16] ... While, stopword appears almost documents, therefore, removing stopword in order to removing meaningless for classfication In this study, we also make a test the effect of stopwords in documents ... Ivan Titov, Ryan McDonald , A Joint Model of Text and Aspect Ratings for Sentiment Summarization, Association for Computational Linguistics, 2008 [12] M Gamon, A Aue, S Corston-Oliver, and E Ringger...
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GIẢI THUẬT SVM (Support vector machines)

GIẢI THUẬT SVM (Support vector machines)

Ngày tải lên : 23/10/2014, 09:42
... khác • Phân tách nhóm, nhóm bao gồm nhiều lớp • Xác định cách phân tách nhóm cho có lợi d) Giải thuật SVM - SVM = giải toán quy hoạch toàn phương - Giải quadratic program • Sử dụng trình tối ưu ... • Hoặc đưa giải toán quy hoạch tuyến tính hay hệ phương trình tuyến tính e) Giải thuật SVM cho khối liệu khổng lồ - Active SVM • Chọn tập liệu từ tập liệu ban đầu • Học tập liệu - Học song song ... trình tối ưu hóa sẵn có: phương pháp Quasi-Newton, gradient • Phân rã vấn đề (decomposition chunking) _6_ • Phân rã vấn đề thành vấn đề kích thước SMO (Platt, 1998) - Diễn giải SVM phương pháp khác...
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Nghiên cứu phương pháp nhận dạng chữ viết tay hạn chế bằng mô hình SVM (Support Vector Machines)

Nghiên cứu phương pháp nhận dạng chữ viết tay hạn chế bằng mô hình SVM (Support Vector Machines)

Ngày tải lên : 02/11/2014, 22:26
... l cỏc vector h tr (support vectors) Cỏc vector h tr c phõn bit da trờn h s i , cỏc vector h tr vi < i < C c gi l cỏc vector h tr khụng nm trờn biờn (unbounded support vectors), cỏc vector h tr ... Hoa K (National Institute of Standard and Technology of the United States) NN Neuron Network (Mng n ron) OCR Optical Character Recognition (nhn dng ch quang hc) QP Quadratic Programing (quy hoch ... trờn c gi l support vectors Support vectors l nhng b gn vi siờu phng phõn chia tuyn tớnh (MMH) nht S húa bi Trung tõm Hc liu http://www.lrc-tnu.edu.vn/ 32 Trong hỡnh bờn di, support vectors l hỡnh...
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Transductive support vector machines for cross-lingual sentiment classification

Transductive support vector machines for cross-lingual sentiment classification

Ngày tải lên : 25/03/2015, 10:23
... manual or semi- automatic annotate to add polarity or scores to words and phrases Turney (Turney, 2002) used a mutual information calculation to automatically compute the SO score for each word and ... an important factor of information for most of us during the decision-making process Long time before the explosion of World Wide Web, we asked our friends to recommend an auto machine, or explain ... decision, one wants to hear others’opinion This is true for both individuals and organizations The technology of opinion mining thus has a tremendous scope for practical applications Individual consumers:...
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Phương pháp nhận dạng Support Vector Machines(SVM) trong nhận dạngchữ viết tay

Phương pháp nhận dạng Support Vector Machines(SVM) trong nhận dạngchữ viết tay

Ngày tải lên : 09/04/2015, 21:32
... 20 B o c o chuyên đề: Khai Phá Dữ Liệu Và Kho Dữ Liệu Chương : Áp dụng SVM cho nh n d ng chữ viết tay 3.1 Thu t toán SVM (Support Vector Machine) Thuật toán máy vector hỗ trợ (Support Vector Machine ... 1997 [10] Alessandro Moschitti, May 8, 2003, Natural Language Processing and Automated Text Categorization, PhD Thesis in Computer Science and Control Engineering , University of Rome ... 34 B o c o chuyên đề: Khai Phá Dữ Liệu Và Kho Dữ Liệu [11] Abney S (1997), "Part-of-Speech Tagging and Partial Parsing", in Young S and Bloothooft (Eds), Corpus-Based Methods in Language and Speech...
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