Support vector machine

Bài thuyết trình: Thuật toán máy hỗ trợ vector (support vector machine-SVM) có kết cấu gồm 3 chương. Chương I - Phát biểu bài toán, trình bày tóm tắt về phân lớp dữ liệu, tại sao lại sử dụng thuật toán SVM để phân lớp dữ liệu? Chương II - Thuật toán máy hỗ trợ vector(SVM) trình bày định nghĩa, mục đích, mô hình giải thuật, các câu hỏi, giải quyết, transductive support vector machine(TSVM). Chương III - Ứng dụng của SVM.

37p votinhdon91 26-08-2014 490 118   Download

Tóm tắt Luận văn Thạc sĩ Kỹ thuật: Nghiên cứu kỹ thuật Support Vector Machine và ứng dụng nhận dạng biển báo giao thông với mục tiêu nghiên cứu kỹ thuật nhận dạng Support Vector Machine và ứng dụng thành công kỹ thuật SVM vào việc nhận dạng biển báo giao thông.

26p codon_05 04-12-2015 156 19   Download

Bài giảng Khai mở dữ liệu: Máy học véctơ hỗ trợ (Support vector machines) giới thiệu về SVM, giải thuật học của SVM, ứng dụng của SVM, kết luận và hướng phát triển, Demo chương trình. Mời các bạn tham khảo.

54p maiyeumaiyeu27 10-01-2017 137 17   Download

Chapter 8: Support Vector Machines includes about Introduction, Support vector machine for binary classification, Multi-class classifiction, Learning with soft margin, SVM Tools, Applications of SVMs.

45p cocacola_10 08-12-2015 55 10   Download

This paper introduces a new algorithm to parse discourse within the framework of Rhetorical Structure Theory (RST). Our method is based on recent advances in the field of statistical machine learning (multivariate capabilities of Support Vector Machines) and a rich feature space. RST offers a formal framework for hierarchical text organization with strong applications in discourse analysis and text generation.

9p hongphan_1 14-04-2013 36 2   Download

Reading proficiency is a fundamental component of language competency. However, finding topical texts at an appropriate reading level for foreign and second language learners is a challenge for teachers. This task can be addressed with natural language processing technology to assess reading level. Existing measures of reading level are not well suited to this task, but previous work and our own pilot experiments have shown the benefit of using statistical language models.

8p bunbo_1 17-04-2013 44 2   Download

We explore how active learning with Support Vector Machines works well for a non-trivial task in natural language processing. We use Japanese word segmentation as a test case. In particular, we discuss how the size of a pool affects the learning curve. It is found that in the early stage of training with a larger pool, more labeled examples are required to achieve a given level of accuracy than those with a smaller pool. In addition, we propose a novel technique to use a large number of unlabeled examples effectively by adding them gradually to a pool. ...

8p bunmoc_1 20-04-2013 36 2   Download

Bài giảng "Máy học nâng cao: Support vector machine" cung cấp cho người học các kiến thức: Introduction, review of linear algebra, classifiers & classifier margin, linear svms - optimization problem, hard vs soft margin classification, non linear svms. Mời các bạn cùng tham khảo.

77p abcxyz123_08 11-04-2020 25 2   Download

This paper presents the use of Support Vector Machines (SVM) to detect relevant information to be included in a queryfocused summary. Several SVMs are trained using information from pyramids of summary content units. Their performance is compared with the best performing systems in DUC-2005, using both ROUGE and autoPan, an automatic scoring method for pyramid evaluation.

4p hongvang_1 16-04-2013 47 1   Download

This paper describes an algorithm to automatically generate a list of cognates in a target language by means of Support Vector Machines. While Levenshtein distance was used to align the training file, no knowledge repository other than an initial list of cognates used for training purposes was input into the algorithm. Evaluation was set up in a cognate production scenario which mimed a reallife situation where no word lists were available in the target language, delivering the ideal environment to test the feasibility of a more ambitious project that will involve language portability. ...

6p hongvang_1 16-04-2013 50 1   Download

The development of the Internet has increased the need for daily online information storage. Finding the correct information that we are interested in takes a lot of time, so the use of techniques for organizing and processing text data are needed. These techniques are called text classification or text categorization. There are many methods of text classification, but for this paper we study and apply the Support Vector Machine (SVM) method and compare its effect with the Naïve Bayes probability method.

17p caothientrangnguyen 01-04-2020 38 1   Download

The aim of this study was to use a support vector machine (SVM) for the first time as a predictive method for differentiating species of Salix wood through the biometric analysis of their anatomy using wood taken from basal disks of 3 species.

8p vimb123 11-01-2019 7 0   Download

This article proposes a classification model for classifying water quality in reservoir based on an integration of one-against-one (OAO) strategy and least square support vector machine (LSSVM).

4p caplock2711 22-02-2019 21 0   Download

Leaf characteristics provide many useful clues for taxonomy. We used a back-propagation artificial neural network (BPANN) and C-support vector machines (C-SVMs) to classify 47 species from 3 sections of genus Camellia (16 from sect. Chrysanthae, 16 from sect. Tuberculata, and 15 from sect. Paracamellia).

11p vi4mua 24-02-2019 9 0   Download

The present paper employs an Particle Swarm Optimization (PSO) Improved via Genetic Algorithm (IPSO) based on Support Vector Machines (SVM) for efficient prediction of various stock indices. The main difference between PSO and IPSO is shown in a graph. Different indicators from the technical analysis field of study are used as input features.

4p cathydoll5 27-02-2019 13 0   Download

In this work, a hybrid approach based on the Support Vector machines (SVM) and genetic algorithms (GA) is developed. The SVM are learning machines that can perform binary classification and real value function approximation (regression estimation) tasks. This tool of the artificial intelligence founded on the theory of the statistical learning was selected for its great capacity of training and generalization.

9p byphasse043256 22-03-2019 23 0   Download

Arc fault is one of the important reasons of electrical fires. In virtue of cross talk, randomness and weakness of series arc faults in low-voltage circuits, very few of techniques have been well used to protect loads from series arc faults. Thus, a novel detection method based on support vector machine is developed in this paper.

14p vivalletta2711 11-01-2020 9 0   Download

In this paper, a method for severity fault diagnosis of ball bearings is presented. The method is based on wavelet packet transform (WPT), statistical parameters, principal component analysis (PCA) and support vector machine (SVM). The key to bearing faults diagnosis is features extraction.

10p tohitohi 19-05-2020 7 0   Download

The purpose of this research is to develop an early warning system model that can anticipate the occurrence of delisting of Islamic stocks (ISSI) using Support Vector Machines (SVM).

8p tohitohi 22-05-2020 11 0   Download

In this paper we present an approach to estimate the age of paddy in drone images using the Support Vector Machines - SVM and Histogram method.

10p lucastanguyen 01-06-2020 6 0   Download