Phân lớp dữ liệu lớn với SVM sử dụng giải thuật mini-batch gradient descent : Luận văn tốt nghiệp Cao học. Chuyên ngành Khoa học máy tính

Nghiên cứu tập trung giải quyết bài toán phân lớp tập dữ liệu lớn bằng cách cải tiến khả năng xử lý dữ liệu lớn của giải thuật máy học vector hỗ trợ sử dụng kỹ thuật hướng giảm gradient theo từng khối....

पूर्ण विवरण

में बचाया:

ग्रंथसूची विवरण
मुख्य लेखक:	Lê, Thị Phương Dung
स्वरूप:	पुस्तक
भाषा:	Undetermined
प्रकाशित:	Cần Thơ Trường Đại học Cần Thơ 2018
विषय:	Data structures (Computer science),Cấu trúc dữ liệu (Khoa học máy tính)
टैग :	टैग जोड़ें कोई टैग नहीं, इस रिकॉर्ड को टैग करने वाले पहले व्यक्ति बनें!

Thư viện lưu trữ:	Trung tâm Học liệu Trường Đại học Cần Thơ


LEADER	01183nam a2200205Ia 4500
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008	210402s9999 xx 000 0 und d
082			\|a 005.73
082			\|b D513
100			\|a Lê, Thị Phương Dung
245		0	\|a Phân lớp dữ liệu lớn với SVM sử dụng giải thuật mini-batch gradient descent :
245		0	\|b Luận văn tốt nghiệp Cao học. Chuyên ngành Khoa học máy tính
245		0	\|c Lê Thị Phương Dung ; Đỗ Thanh Nghị (Cán bộ hướng dẫn)
260			\|a Cần Thơ
260			\|b Trường Đại học Cần Thơ
260			\|c 2018
520			\|a Nghiên cứu tập trung giải quyết bài toán phân lớp tập dữ liệu lớn bằng cách cải tiến khả năng xử lý dữ liệu lớn của giải thuật máy học vector hỗ trợ sử dụng kỹ thuật hướng giảm gradient theo từng khối.
650			\|a Data structures (Computer science),Cấu trúc dữ liệu (Khoa học máy tính)
910			\|b nthai
980			\|a Trung tâm Học liệu Trường Đại học Cần Thơ

Phân lớp dữ liệu lớn với SVM sử dụng giải thuật mini-batch gradient descent : Luận văn tốt nghiệp Cao học. Chuyên ngành Khoa học máy tính

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