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THÔNG BÁO Triệu tập thí sinh tham dự thi vấn đáp tại vòng 2
THÔNG BÁO Tuyển viên chức năm 2024
Kế hoạch tuyển viên chức năm 2024
Hội thảo sắp diễn ra
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18/09/24, Hội nghị, hội thảo:
THE 3RD VIETNAM - KOREA JOINT WORKSHOP ON SELECTED TOPICS IN MATHEMATICS
02/01/25, Hội nghị, hội thảo:
Hội nghị toàn quốc lần thứ VII “Xác suất - Thống kê: Nghiên cứu, ứng dụng và giảng dạy”
18/12/24, Hội nghị, hội thảo:
International conference on commutative algebra to the memory of Jürgen Herzog
Xuất bản mới
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Phạm Hữu Sách, Lê Anh Tuấn, Nguyễn Thế Vinh, Vector Quasi-Equilibria for the Sum of Two Multivalued Trifunctions, Journal of Optimization Theory and Applications, Volume 204, article number 44, (2025) (SCI-E, Scopus) .
Nguyễn Đình Công, Lưu Hoàng Đức, Phan Thanh Hồng, umerical Attractors via Discrete Rough Paths, Journal of Dynamics and Differential Equations, Volume 37, pages 727–748, (2025) (SCI-E, Scopus) .
Tan H. Cao, Nilson Chapagain, Haejoon Lee, Thi Phung, Nguyễn Năng Thiều, Optimal Control of Several Motion Models, Journal of Optimization Theory and Applications, Volume 205, article number 3, (2025) (SCI-E, Scopus) .

Maximum likelihood estimation and multi-class support vector machine using polynomials

Người báo cáo: Mai Ngọc Hoàng Anh

Thời gian: 15h00 - VN time, thứ năm, ngày 13/4/2023.

Online: (google meet) https://meet.google.com/yyb-zhod-hdy?authuser=3&hl=vi

Abstract: In the first part of the talk, we present a parametric family of polynomials for maximum likelihood estimation, with applications to supervised learning. Based on Weierstrass' theorem and Putinar's Positivstellensatz, we guarantee the convergence of our polynomial estimations for exact probability density functions under mild conditions. Moreover, we show that our black-box optimization problem is a convex program with semidefinite constraints. Next, we apply Boyd's primal-dual subgradient method to solve this program numerically. This is joint work with Jean-Bernard Lasserre, Victor Magron, and Srecko Durasinovic.

Viện Toán học, Viện Hàn lâm Khoa học và Công nghệ Việt Nam

Địa chỉ: Số 18 đường Hoàng Quốc Việt, quận Cầu Giấy, Hà Nội

Điện thoại: 024 37563474 - Fax: 024 37564303

Email: vientoan@math.ac.vn

Viện nghiên cứu cao cấp về toán Hội Toán học Mỹ MathScinet Thư viện số (VAST) Arxiv
Lịch hoạt động chung Lịch sử dụng phòng, hội trường, hội thảo Ảnh hoạt động
Giới thiệu Đăng nhập Đăng ký tài khoản Quên mật khẩu Chính sách bảo mật
MessagesTimelineExceptionsViews7RouteQueries36Models149MailsGateSessionRequest
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