a library for support vector machines version 3 17 chih chung chang and chih jen lin
a tutorial on support vector machines for pattern recognition
Ngày tải lên :
24/04/2014, 12:25
... 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 100 200 30 0 400 500 600 700 800 900 1000 Sigma Squared Ỵ ĨÙỊ Ị ƠƯ ... 500 600 700 800 900 1000 Sigma Squared Ỵ ĨÙỊ Ị ƠƯ ØÚ Ú Ị Û Ị ÐĨĨ× º 100 200 30 0 400 500 600 700 800 900 1000 Sigma Squared ¿ º Ä Đ Ø Ø ĨỊ× È Ư Ơ× Ø ×Ø Ð Đ Ø Ø ĨỊ Ĩ Ø ×ÙƠƠĨỪ Ú ØĨƯ ƠƠƯĨ Ð × Ị Ĩ Ĩ ... 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× ĨÛ Ø × ĨỊ Ø ƯĐ ĨỊ Ø Ư Ø...
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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
... Copeck and S Szpakowicz 2005 Leveraging pyramids In Proc DUC-2005, Vancouver, Canada Hal Daum´ III and Daniel Marcu 2005 Bayesian summarizae tion at DUC and a suggestion for extrinsic evaluation ... when data is scant (which happens in The mean, median, standard deviation and histogram of the overlapping distribution are calculated and included as features this case), and a simple iterative ... classification Journal of Machine Learning Research The pyramid annotations are a valuable source of information for training automatically text summarization systems using Machine Learning techniques We explore...
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Gene Selection for Cancer Classification using Support Vector Machines pot
Ngày tải lên :
06/03/2014, 00:22
... {28 ,36 , {36 ,34 , 11 ,34 , -36 , -30 , 36 } -2} Baseline 32 21 16 21 2000 {8 ,36 , classifier {36 ,34 {8 ,36 , 34 , -37 , -36 , -30 } 34 , -36 , -36 , -30 , -30 ,2} -2} Table 6: Best classifiers on test data (Colon cancer ... 0. 23 Table 4: Baseline classifier trained on baseline genes (Leukemia data) The success rate (at zero rejection), the acceptance rate (at zero error), the extremal margin and the median margin are ... (Duda, 73) ) In our notations: D(x) = w.x+b, (1) where w is the weight vector and b is a bias value A data set is said to be “linearly separable” if a linear discriminant function can separate...
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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
... Segmentation as a Classication Task Many tasks in natural language processing can be formulated as a classication task (van den Bosch Since typically the percentage of support vectors is small (e.g., ... between a kanji character and a hiragana character Of course, there are quite a few exceptions to this heuristics For example, some proper nouns are written in mixed hiragana, kanji and katakana The ... less than half of the average increment 17. 24 16.80 17 .37 16.72 17 .34 16.91 17. 73 16. 93 10 17. 94 16.87 11 17. 57 16.97 Table 2: Accuracy at Different Labeled Data Sizes with Random Sampling #...
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Transductive Support Vector Machines for Cross-lingual Sentiment Classification
Ngày tải lên :
01/08/2014, 17:53
... part-of-speech tagging [Pang, 2002] Semantic features intergrate manual or semi-automatic annotate to add polarity or scores to words and phrases [Turney, 2002] used a mutual information calculation to automatically ... learn a classifier as a baseline Note that the training set and the unlabeled set are used in the training phrase, while the test set is blind to the training phrase 4 .3 Evaluation metric As a ... the ACL, 2004 [5] Ahmed abbasi, Hsinchun Chen and Arab Salem, Sentiment Analysis in multiple languages: features selection for opinion classification in Web forums ACM Transactions on Information...
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Transductive support vector machines for cross-lingual sentiment classification
Ngày tải lên :
25/03/2015, 10:23
... support vector machine, each data point is viewed as a p-dimensional vector, and now the goal becomes into finding out a p − dimensional hyperplane that can separate such 2.2 Support Vector Machines ... of labeled data, and increase the amount of annotated data using some amounts of unlabeled data in an incremental way Till now, co-training has been successfully applied to named-entity classification, ... that problem we perform segmentation on Vietnamese data before learning classifier 3. 3 Features 18 Table 3. 2: An example of Vietnamese Words Segmentation Sentence: Segmentation: POS tag: 3. 3.2...
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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
... misses and false alarms for different threshold values for the classifiers “Misses” are positive examples of a class that are misclassified as negative examples; “false alarms” are negative examples ... this standard data set as we not have any domain-specific treebank data for training a parser Although clearly there is a difference between news text for adults and news articles intended for children, ... readability formula Brookline Books, Cambridge, Mass., 1995 E Charniak A maximum-entropy-inspired parser In Proc of NAACL, pages 132 – 139 , 2000 C Chelba and F Jelinek Structured Language Modeling...
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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
... chart cells for quadratic complexity context-free inference In COLING Hiroyasu Yamada and Yuji Matsumoto 20 03 Statistical dependency analysis with support vector machines In IWPT Ainur Yessenalina, ... Girshick, David McAllester, and Deva Ramanan 2010 Object detection with discriminatively trained part based models IEEE Transactions on Pattern Analysis and Machine Intelligence, 32 (9) Liang Huang and ... HLT-NAACL Colin Cherry and Chris Quirk 2008 Discriminative, syntactic language modeling through latent SVMs In AMTA Michael Collins, Amir Globerson, Terry Koo, Xavier Carreras, and Peter L Bartlett...
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Báo cáo khoa học: "Automatic Prediction of Cognate Orthography Using Support Vector Machines" potx
Ngày tải lên :
31/03/2014, 01:20
... cross-family languages via third languages Lexicons are then expanded to intra-family languages by means of cognate pairs and cognate distance Related techniques include a method developed by Danielsson ... previous tags are used as evidence to decide its tag After an extensive evaluation of the major MLbased taggers available, we decided to opt for SVMTool, a generator of sequential taggers based on Support ... Gimenez and Lluis Marquez 2004 SVMTool: A General POS Tagger Generator Based on Support Vector Machines Proceedings of LREC '04, 43- 46 Diana Inkpen, Oana Frunza and Grzegorz Kondrak 2005 Automatic...
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e. osuna, r. freund, and f. girosi, training support vector machines- an application to face detection
Ngày tải lên :
24/04/2014, 12:33
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face recognition by support vector machines
Ngày tải lên :
24/04/2014, 12:36
... ORL face database There are 10 images for each person There are several approaches for classification of the ORL database images In [14], a hidden Markov model (HMM) based approach is used, and ... learning aproaches to appearance-based 3d object recognition with and without cluttered background ACCV2000, to appear [12] A Samal and P A Iyengar Automatic recognition and analysis of human ... There are variations in facial expressions such as open/closed eyes, smiling/nonsmiling, and facial details such as glasses/no glasses All the images were taken against a dark homogeneous background...
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ivanciuc applications of support vector machines in chemistry
Ngày tải lên :
02/06/2014, 09:46
... that cannot be linearly separated with a hyperplane are represented inside a square Pattern Classification with Linear Support Vector Machines 31 9 variable This penalty associated with any pattern ... multiclass SVM and experiments with many datasets, Rifkin and Klautau concluded that the one-versus-all SVM classification is as accurate as any other multiclass approach.50 Angulo, Parra and Catala ... statistical learning theory that form the basis of support vector machines, followed by a section on linear support vector machines in which the mathematical basis for computing a maximum margin...
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Báo cáo hóa học: " Research Article Bird Species Recognition Using Support Vector Machines" doc
Ngày tải lên :
22/06/2014, 20:20
... For dataset (Table 3) a 10-fold cross validation in training data was used to select optimal model parameters The validation procedure is repeated for a grid of parameter values C and σ Parameters ... testing datasets, respectively Lat Abbr Common name Syllables train Syllables test ANAPLA ANSANS Mallard Greylag Goose 138 135 60 59 COTCOT CRECRE GLAPAS Quail Corncrake Pygmy Owl 190 4 43 1 13 83 110 ... calculated for each frame and the mean and variance values of the feature trajectories are used as the actual features of the recognition system Therefore, we have 14 features calculated on a frame basis...
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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
... 1995 [3] Y.-J Lee and O L Mangasarian, “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 ... Cambridge, Mass, USA, 2002 [33 ] P E Gill, W Murray, and M H Wright, Practical Optimization, Academic Press, London, UK, 1981 [34 ] Y.-J Lee and O L Mangasarian, “RSVM: Reduced Support Vector Machines, ” ... C.-C Yao and P.-T Yu The input data are mapped into a high-dimensional feature space by some nonlinear mapping chosen a priori Let ϕ denote a set of nonlinear transformations from the input space...
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A Methodology for the Health Sciences - part 3 pps
Ngày tải lên :
10/08/2014, 18:21
... 30 0 31 0 31 0 30 0 31 0 30 0 31 0 0.08486 0.07747 0.08486 0.08212 0.08486 0.08212 0.08486 0.08486 0.08212 0.08486 0.08212 0.08486 13, 633 12,446 13, 633 13, 1 93 13, 633 13, 1 93 13, 633 13, 633 13, 1 93 13, 633 ... January February March April May June July August September October November December 13, 016 12 ,39 8 14 ,34 1 13, 744 13, 894 13, 433 13, 787 13, 537 13, 459 13, 144 12,497 13, 404 31 0 2 83 310 30 0 31 0 30 0 ... investigate are for multivariate categorical data We already know the meaning of categorical data: values of a variable or variables that put subjects into one of a finite number of categories...
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GIẢI THUẬT SVM (Support vector machines)
Ngày tải lên :
23/10/2014, 09:42
... gian trung gian (feature space) - Phép chuyển đổi khó xác định, số chiều không gian trung gian lớn - Hàm kernel (Hilbert Schmidt space): làm việc không gian input ngầm định không gian trung gian ... b d a tập SV - Phân loại x: b) SVM phi tuyến Không gian input : phi tuyến Không gian trung gian : tuyến tính _5_ Chuyển không gian input => không gian trung gian: - chiều [x1, x2] không gian input ... thuật Mangasarian & sinh viên ông • Hoặc đ a 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...
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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
... MNIST gia 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 ... phõn chia tuyn tớnh Chỳng ta xem SVM c hun luyn l SVM tuyn tớnh Sau hun luyn SVM, chỳng ta s phõn loi cỏc b mi Theo Jiawei Han and Micheline Kamber, ta da trờn cụng thc Lagrangian nh sau: Trong ... caching cp nht gradient kt hp iu kin dng a Nguyờn lý chung chia nh bi toỏn Vi mi i ca iu kin ti u (4) ta phõn lm hai loi: Mt bờn ta hp B cha cỏc bin t Mt bờn ta hp N cha cỏc bin c nh S húa...
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