
Data classification
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Bài thuyết trình Ứng dụng khai thác dữ liệu (Data Mining and Application): Artificial Neural Network for Classification tập trung vào ứng dụng của mạng nơ-ron nhân tạo trong bài toán phân loại. Nội dung thuyết trình đề cập đến cấu trúc, cách hoạt động của mạng nơ-ron, các ưu điểm, thách thức và một số ứng dụng thực tiễn. Đây là nền tảng quan trọng trong các hệ thống học sâu hiện đại. Mời các bạn cùng tham khảo để biết thêm chi tiết!
33p
hoatrongguong03
15-05-2025
1
1
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Bài thuyết trình Ứng dụng khai thác dữ liệu (Data Mining and Application): Multi-label classification of enzyme substrates trình bày ứng dụng kỹ thuật phân loại đa nhãn trong nhận diện cơ chất của enzyme. Bài thuyết trình trình bày tổng quan bài toán, xây dựng mô hình và đánh giá kết quả. Đây là một ứng dụng tiềm năng trong nghiên cứu sinh học và hóa sinh. Mời các bạn cùng tham khảo để biết thêm chi tiết!
41p
hoatrongguong03
15-05-2025
1
0
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Low-rank representation (LRR) plays a significant role in image classification tasks due to its ability to capture the underlying structure and variations in image data. However, traditional low-rank representation-based dictionary learning methods struggle to leverage discriminative information effectively.
9p
viling
11-10-2024
4
1
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In this study, we propose a novel approach using the oscillation characteristics of the RMS current as the input to machine learning models, combined with the confident learning technique. Using the oscillation characteristics obtained by taking a discrete Fourier transform (DFT) of the RMS current as model input, we aim to reduce the computational requirements of the machine learning models.
12p
viling
11-10-2024
4
1
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Artificial intelligence is gradually emerging as a method for optimizing various tasks, offering cost-saving and highly efficient solutions. Nowadays, Al is used as a general term for diverse tasks performed by computers. Fields like machine learning, deep learning, and data science, among others within this scope, are considered part of Al as long as they exhibit the characteristics of artificial intelligence.
12p
viuzumaki
28-03-2025
4
1
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Lecture "Machine learning: An introduction to data classification" includes content: Introduction, common techniques in data classification, handing different data types, variations on data classification.
26p
myhouse06
24-03-2025
3
1
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This article presents a semisupervised fuzzy c-means clustering algorithm based on the collaborative clustering model (CSFCM) on distributed systems applied to the problem of land cover classification from remote sensing data.
14p
viyamanaka
06-02-2025
2
1
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Blur image classification is essential for computer vision applications, including image quality assessment, surveillance and medical imaging systems. This study proposes a method to classify different types of blur: sharp, Gaussian blur, motion blur, and defocus blur, using the DenseNet121 architecture.
9p
tuetuebinhan000
23-01-2025
3
0
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Bài giảng Khai phá dữ liệu (Data mining): Naïve Bayes Classification, chương này trình bày những nội dung về: giới thiệu Naïve Bayes Classification (NBC); mô hình toán; các dạng phân phối dùng trong NBC; các ví dụ và bài tập;... Mời các bạn cùng tham khảo chi tiết nội dung bài giảng!
36p
diepkhinhchau
18-09-2023
44
8
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Bài giảng Phân tích không gian I (Basic Spatial Analysis) - Bài 4: Phân tích đơn lớp - Phân loại đối tượng. Những nội dung chính được trình bày trong chương này gồm có: Thang đo lường dữ liệu (levels of measurement), phân loại dữ liệu (data classification), phương pháp phân loại dữ liệu (data classification methods). Mời các bạn cùng tham khảo để biết thêm nội dung chi tiết!
41p
zizaybay1107
19-07-2024
8
2
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The study was conducted by using the method of Data Envelopment Analysis (DEA) two stages. The first stage involves the calculation a score of efficiency through the DEA by using firm’s data while the second stage Regression Tobit Analysis used to identify significant factors influencing to technical efficiency in machinery industrial.
12p
longtimenosee09
08-04-2024
13
1
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Lecture "Applied data science: Classification" includes content: Classification - logistic regression review ; classification evaluation metrics; the expected value framework;... We invite you to consult!
18p
kimphuong1144
04-12-2023
8
3
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The research period of this study is from 2010 to 2017. The countries in the research sample are selected based on complete market data including six Southeast Asian countries and 2,166 listed companies. by GICS (Global Industry Classification Standard).
26p
nguathienthan10
23-02-2021
30
3
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The thesis uses methods of investigation, survey, data collection; professional solution; methods of comparison and classification; method of morphological analysis; evaluation methods according to norms; general analytical method.
28p
kequaidan7
01-09-2020
11
3
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Proposing a model to classify by fuzzy decision trees and a method to select the feature training samples set for classification process. Recommending the linguistic value treatment method of inhomogeneous attributes based on hedge algebra. Proposing the algorithms by fuzzy decision tree in order to be effective in predicting and simple for users.
26p
gaocaolon6
30-07-2020
37
3
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This thesis is organized into five chapters. In chapter 1, I give an introduction to remotely-sensed data and its application in various domains. A problem statement is also presented. Theoretical backgrounds in remote sensing, compositing methods and land cover classification methods are introdu ced.
39p
tamynhan0
04-07-2020
24
6
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In this paper we applied a feature selection based on graph method, graph method identifies the most important nodes that are interrelated with neighbors nodes.
11p
lucastanguyen
01-06-2020
18
2
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The present article focuses on a new approach to categorize inventory items using Modified similarity-based method. The proposed method is applied to the inventory data of raw materials from a renowned conveyor belt manufacturing company of West Bengal, India.
16p
tohitohi
22-05-2020
20
1
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The Protein Data Bank contains the description of approximately 27 000 protein–ligand binding sites. Most of the ligands at these sites are biologi-cally active small molecules, affecting the biological function of the protein. The classification of their binding sites may lead to relevant results in drug discovery and design.
9p
mobifone23
18-01-2013
46
3
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We exhibit a counterexample to Elliott’s classification conjecture for simple, separable, and nuclear C∗ -algebras whose construction is elementary, and demonstrate the necessity of extremely fine invariants in distinguishing both approximate unitary equivalence classes of automorphisms of such algebras and isomorphism classes of the algebras themselves.
17p
dontetvui
17-01-2013
78
6
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