support vector machine classification with indefinite kernels

... hoá từ: 2 2 1 m thành ∑ + i i Cm ξ 2 2 1 ^ ] 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...

Ngày tải lên: 19/02/2014, 09:07

Ngày tải lên: 14/03/2014, 23:35

... [-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...

Ngày tải lên: 18/03/2014, 10:25

Ngày tải lên: 30/03/2014, 23:20

Ngày tải lên: 22/06/2014, 23:20

... 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...

Ngày tải lên: 06/03/2014, 00:22

... 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...

Ngày tải lên: 17/03/2014, 08:20

Ngày tải lên: 28/04/2014, 10:06

Ngày tải lên: 01/03/2013, 17:01

... 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...

Ngày tải lên: 26/11/2013, 17:11

... 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...

Ngày tải lên: 19/02/2014, 19:20

... 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...

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...

Ngày tải lên: 20/02/2014, 04:20

... 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...

Ngày tải lên: 20/02/2014, 12:20

... 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...

Ngày tải lên: 20/02/2014, 15:20

... 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...

Ngày tải lên: 21/02/2014, 17:20

... 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....

Ngày tải lên: 07/03/2014, 22:20

... 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...

Ngày tải lên: 17/03/2014, 00:20

... 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...

Ngày tải lên: 17/03/2014, 07:20

Ngày tải lên: 23/03/2014, 16:20