Click belowCard, follow the “CVer” public account AI/CV heavy content, delivered first time Click to enter—>【Object Detection and Transformer】 group chat Reprinted from: Machine Heart | Edited by: Egg Sauce, Xiao Zhou SVM is all you need, support vector machines never go out of style. Transformer is a support vector machine (SVM), a new theoretical … Read more
Originally from Data Department THU Source CloudB Computational Thinking and Aesthetics "How can 'humans' do what they are good at, while leaving the rest to machines. [ Introduction ] Since the 1980s, machine learning has led the development trend of artificial intelligence, shifting the contribution of artificial intelligence from human-given intelligence to machine-learned intelligence. Undoubtedly, … Read more
Authors: Shen Qing, Zhang Lianzheng Affiliation: Nankai University, School of Finance Source: Journal of Financial Regulation Research, Issue 7, 2020 Original Title: A New Method for Identifying Bank Credit Risk: SVM-KNN Combined Model Research Background Since 2019, the Baoshang Bank incident has attracted widespread attention from both academia and industry, sparking renewed discussions on credit … Read more
Author：Tang You1,2, Zhang Wei1 Affiliation：1. School of Information and Control Engineering, Jilin Chemical Technology College; 2. School of Electrical and Information Engineering, Jilin Agricultural Science and Technology College Abstract：Tang You, male, from Longjiang, Heilongjiang, professor, PhD, engaged in research on bioinformatics and agricultural informatization. Fund Project：Jilin Provincial Science and Technology Development Plan Project (YDZJ202201ZYTS-692). Source：《Anhui … Read more
Source: Zhihu Abner says AI This article is approximately 4500 words long and suggests a reading time of 9 minutes. This article summarizes the pros and cons of the top 10 machine learning algorithms. 1. Logistic Regression The binary logistic regression model is a classification model represented by the conditional probability distributionP(Y|X), which takes the … Read more
1. Logistic Regression The binary logistic regression model is a classification model represented by the conditional probability distributionP(Y|X), with the form of a parameterized logistic distribution. Here, the random variable X takes real values, and the random variable Y takes values of 1 or 0. The model parameters can be estimated using a supervised method. … Read more
Definition of Machine Learning Machine Learning essentially allows computers to learn patterns from data and predict future data based on the learned patterns. Machine Learning includes algorithms such as clustering, classification, decision trees, Bayesian methods, neural networks, and deep learning (Deep Learning). The basic idea of Machine Learning is to mimic the process of human … Read more
Source: AI Data Research Society This article is about 2500 words, and it is recommended to read for 7 minutes. This article introduces node classification. In this article, we will discuss node classification, such as determining whether a node is fraudulent. For general structured data classification tasks, we train models using data features and labels … Read more
Project Background Insects, as a treasure trove of biological diversity, are facing multiple challenges such as a lack of understanding, a lack of conservation awareness, and excessive human activity. These factors have collectively led to adramatic decline in insect populations. This decline not only threatens the balance of ecosystems but also impacts humanity’s ability to … Read more
Original: Medium Author: Shiyu Mou Source: Robot Circle This article has a length of 4600 words and is suggested to be read in 6 minutes. This article introduces you to 5 techniques for image classification, summarizes and consolidates algorithms, implementation methods, and conducts experimental validation. The image classification problem is the task of assigning labels … Read more