Xây dựng mô hình đường trắc địa trên máy vector hỗ trợ trong việc phân loại văn bản Tiếng Việt số

QR code

Xây dựng mô hình đường trắc địa trên máy vector hỗ trợ trong việc phân loại văn bản Tiếng Việt số

Chuyên đề Khoa học và Giáo dục – số 2; 07/2014; từ trang 12.22.

Bewaard in:

Bibliografische gegevens
Hoofdauteurs:	Phạm, Minh Tuấn, Võ, Duy Thanh
Formaat:	Artikel
Taal:	Vietnamese
Gepubliceerd in:	Nhà xuất bản Thông tin và Truyền thông 2021
Onderwerpen:	text classification support vector machine (SVM) semi-supervised learning manifold learning
Online toegang:	http://elib.vku.udn.vn/handle/123456789/1676
Tags:	Voeg label toe Geen labels, Wees de eerste die dit record labelt!

Thư viện lưu trữ:	Trường Đại học Công nghệ Thông tin và Truyền thông Việt Hàn - Đại học Đà Nẵng

Gelijkaardige items

An Improvement of Structural – Twin Support Vector Machine
door: Nguyen, The Cuong, et al.
Gepubliceerd in: (2022)

Medicinal Herb Identification through Stacking Ensemble Learning and Fine-Tuned Deep Neural Networks for Feature Learning
door: Le, Thi Duc Ngoc, et al.
Gepubliceerd in: (2024)

Phân loại tên hồ sơ tiếng Việt theo thời hạn bảo quản
door: Tôn, Nữ Thị Sáu, et al.
Gepubliceerd in: (2021)

A categorization framework for common computer vulnerabilities and exposures /
door: Chen, Zhongqiang.

Kỹ thuật Support vector Machines và ứng dụng
door: Thái, Sơn
Gepubliceerd in: (2018)

The elements of statistical learning :
door: Hastie, Trevor
Gepubliceerd in: (2001)

WiFi Fingerprinting-based Indoor Positioning with Machine Learning Algorithms
door: Ninh Duong-Bao, Luong Nguyen Thi, Huy Quang Pham, and Khanh Nguyen-Huu
Gepubliceerd in: (2022)

An Evaluation of Image-Based Malware Classification Using Machine Learning
door: Tran, The Son, et al.
Gepubliceerd in: (2021)

Cascade generalization with reweighting data for handling imbalanced problems /
door: Kotsiantis, S.B.

An effective model for intergrated face detection and recognition
door: Tran, Huy Quang, et al.
Gepubliceerd in: (2021)

Predicting Outcomes of Hormone and Chemotherapy in the Molecular Taxonomy of Breast Cancer International Consortium (METABRIC) Study by Biochemically-inspired Machine Learning
door: Mucaki, Eliseos J, et al.
Gepubliceerd in: (2023)

Predicting Outcomes of Hormone and Chemotherapy in the Molecular Taxonomy of Breast Cancer International Consortium (METABRIC) Study by Biochemically-inspired Machine Learning
door: Mucaki, Eliseos J, et al.
Gepubliceerd in: (2023)

Kết hợp các mô hình trong học chuyển giao để xây dựng mô hình phân lớp dự đoán bệnh về da
door: Huỳnh, Tuấn Anh
Gepubliceerd in: (2021)

Evolving with Klinkenberg’s Idea (EKI) Algorithms for Automatic Identification of Sa Huynh Antique Glass Artifacts
door: Ngo, Ho Anh Khoi, et al.
Gepubliceerd in: (2024)

Building a Learning Support Website Using AI Chatbox
door: Dang, Quoc Nha, et al.
Gepubliceerd in: (2025)

Incorporating Natural Language-Based and Sequence-Based Features to Predict Protein Sumoylation Sites
door: Tran, Thi Xuan, et al.
Gepubliceerd in: (2023)

Estimation of the power peaking factor in a nuclear reactor using support vector machines and uncertainty analysis /

Xử lý biểu mẫu trả lời điều tra - thăm dò theo hình thức trắc nghiệm
door: Quách, Văn Lượm
Gepubliceerd in: (2012)

A comparative study on application of multi-task cascaded convolutional network for robust face recognition
door: Nguyen, Oanh, et al.
Gepubliceerd in: (2021)

Phát hiện lỗi trên hạ tầng điện toán đám mây dựa trên Fuzzy one-Class support vector machines
door: Võ, Văn Lên
Gepubliceerd in: (2019)

Robust and adaptive techniques in self-organizing neural networks /

Introduction to machine learning /
door: Nilsson, Nils J.
Gepubliceerd in: (1996)

Introduction to machine learning : An early draft of a proposed textbook /
door: Nilsson, Nils J.
Gepubliceerd in: (1996)

Correlation-based feature selection for machine learning /
door: Hall, Mark A.
Gepubliceerd in: (1999)

So sánh đặc trưng moment Hu và biểu đồ gradient có hướng trong nhận dạng tự động hoa cảnh Việt Nam
door: Hoàng, Lê Uyên Thục, et al.
Gepubliceerd in: (2018)

An Improvement in Medical Imaging via Self-Supervised Representation Learning
door: Tran, Nhat Minh Hoang, et al.
Gepubliceerd in: (2021)

Building an e-commerce website using machine learning support to search
door: Ho, Trong Khanh
Gepubliceerd in: (2022)

Nghiên cứu và xây dựng giải pháp hỗ trợ bác sĩ trong chẩn đoán sơ bộ lâm sàng sử dụng trí tuệ nhân tạo
door: Phạm, Vũ Thu Nguyệt, et al.
Gepubliceerd in: (2022)

Knowledge-based approach using support vector machine for transmission line distance relay co-ordination /
door: Thukaram, D.

Advances in learning classifier systems : third international workshop, IWLCS 2000, Paris, France, September 15-16, 2000 : revised papers /
Gepubliceerd in: (2001)

Machine Learning cơ bản
door: Vũ, Hữu Tiệp
Gepubliceerd in: (2023)

Applying Machine Learning To Build a System to Forecast and Optimizate Sales Prices Based on Competitive Data Analysis
door: Le, Viet Thang, et al.
Gepubliceerd in: (2025)

Building a System to Detect and Prevent DDoS Attacks using Machine Learning
door: Dinh, Duc Thinh
Gepubliceerd in: (2025)

The next generation of corporate universities :
Gepubliceerd in: (2007)

Nghiên cứu và xây dựng ứng dụng nhận diện cảm xúc của các bình luận trên mạng xã hội
door: Nguyễn, Quỳnh Nhật Phương, et al.
Gepubliceerd in: (2022)

Combine Deep Learning And Big Data By Transfer Learning: Apply To Solve Sentiment Analysis Problem In Vietnamese Language
door: Le, Van Minh
Gepubliceerd in: (2021)

Nghiên cứu ứng dụng kỹ thuật học sâu để phát hiện, giảm thiểu DNS Abuse Websites
door: Trương, Thế Quốc Dũng, et al.
Gepubliceerd in: (2025)

Assessment of Lecturer's Teaching Activities through Students: Theoretical and Practical Concept
door: Phan, Thi Yen, et al.
Gepubliceerd in: (2023)

Principal components based support vector regression model for on-line instrument calibration monitoring in NPPS /

Lorentzian manifolds admitting a killing vector field /
door: Sanchez, Miguel.