latent support vector machine for sign language recognition with kinect

Ngày tải lên: 22/06/2014, 19:20

Ngày tải lên: 24/04/2014, 12:25

Ngày tải lên: 22/06/2014, 23:20

... 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 ... 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

... 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 pyramids of ... extraction 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). ... summary content units. Their per- formance is compared with the best per- forming systems in DUC-2005, using both ROUGE and autoPan, an automatic scor- ing method for pyramid evaluation. 1 Introduction Multi-Document...

Ngày tải lên: 20/02/2014, 12:20

... capture rough syntactic information. The 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 ... of language competency. However, finding topical texts at an appro- priate reading level for foreign and sec- ond language learners is a challenge for teachers. This task can be addressed with natural ... statistical language models. In this paper, we also use support vector machines to combine features from tradi- tional reading level measures, statistical language models, and other language pro- cessing...

Ngày tải lên: 20/02/2014, 15:20

Ngày tải lên: 14/03/2014, 23:35

... 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 ... 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 ... An Empirical Study of Active Learning with Support Vector Machines for Japanese Word Segmentation Manabu Sassano Fujitsu Laboratories Ltd. 4-1-1, Kamikodanaka,...

Ngày tải lên: 17/03/2014, 08:20

... [-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

... Filters through Latent Support Vector Machines Colin Cherry Institute for Information Technology National Research Council Canada colin.cherry@nrc-cnrc.gc.ca Shane Bergsma Center for Language and ... Classifying chart cells for quadratic complexity context-free infer- ence. In COLING. Hiroyasu Yamada and Yuji Matsumoto. 2003. Statistical dependency analysis with support vector machines. In IWPT. Ainur ... is given credit for eliminating an arc. The identity of the responsible classifier is modeled as a latent variable, which is filled in during training using a latent SVM (LSVM) formulation. Our...

Ngày tải lên: 23/03/2014, 16:20

... of statistical 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 ... American Chapter of the Association for Computational Linguistics on Human Language Technology, 1:149–156. C. Staelin. 2003. Parameter selection for support vector machines. Hewlett-Packard Company, ... Rhetorical Analysis with Rich- Feature Support Vector Models. Language, 18(52). F. Schilder. 2002. Robust discourse parsing via discourse markers, topicality and position. Natural Language Engineering,...

Ngày tải lên: 30/03/2014, 23:20

Ngày tải lên: 01/08/2014, 17:53

Ngày tải lên: 18/10/2014, 22:25

Ngày tải lên: 30/10/2014, 16:01

Ngày tải lên: 05/11/2014, 18:39

Ngày tải lên: 12/11/2014, 16:22

Ngày tải lên: 24/04/2014, 13:39

... rates were 17.0 for En- glish, 18.7 for Spanish, and 22.5 for French. For English, we also created web mixture mod- els with KN smoothing. The error rates were 16.5, 15.9 and 15.7 for the 20 MB, ... interpolated with the original LM). One million words from the web data were selected for each language. The adaptation was thought to take place off-line on a server. 3.2.1 Data sets For each language, ... contain the acoustic models, language model and lexicon, but the LM makes up for most of the size. The availability of data varies for the different languages, and therefore the FST sizes are not...

Ngày tải lên: 22/02/2014, 02:20

... 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 ... ranks 5 for the baseline method, 4 for LDA, 1 for MSE and only 41 for SVM. Therefore, this is an indication that SVMs might make a better use of the data than the other methods via the support vector ... index of 7 the support vectors of an SVM trained on the top 7 genes selected by SVM RFE (Colon cancer data). Samples with a negative sign are tumor tissues (T). Samples with positive signs are normal...

Ngày tải lên: 06/03/2014, 00:22