Hello, I am Cos Dazhuang!~ Recently, there has been a discussion in the community about the mixed classification tasks using XGBoost and KNN. Today, let’s take this opportunity to talk about the details and points to note, as well as the advantages they each bring~ As usual: If you think the recent articles are good! … Read more
Without high-quality data, there are no high-quality data mining results. Missing data values are one of the common issues encountered in data analysis. When the proportion of missing data is very small, missing records can be directly discarded or handled manually. However, in actual data, missing data often accounts for a significant proportion. In this … Read more
1. Logistic Regression The binary logistic regression model is a classification model represented by the conditional probability distribution P(Y|X), in 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 … Read more
Source: DeepHub IMBA This article is about 4200 words long and is recommended to be read in over 10 minutes. This article demonstrates the use of KNN with three different distance metrics. The k-nearest neighbors (KNN) algorithm is a simple yet powerful algorithm that can be used for classification and regression tasks. It is easy … Read more
Total Article 77 This article introduces one of the most basic and also the most “lazy” algorithms in machine learning – KNN (k-nearest neighbor). Do you know why it is called the laziest? 01|Algorithm Introduction: KNN is short for k-nearest neighbor, which indicates the K closest points. This algorithm is commonly used to solve classification … Read more
| Welcome to submit, please contact: MatResFron001 (WeChat ID) First Author (or Co-First Author): Zhu Lifeng, Liu Dong, Shi Xiaoming Corresponding Authors (or Co-Corresponding Authors): Deng Shiqing, Zhang Boping, Zhang Shujun, Li Jingfeng Affiliated Institutions: Beijing University of Science and Technology; Tsinghua University; University of Wollongong, Australia Paper DOI: https://doi.org/10.1038/s41467-025-56074-8 1. Overview: Potassium Sodium Niobate((K,Na)NbO3) … Read more
| Welcome to submit articles, please contact: MatResFron001 (WeChat ID) Introduction: (K, Na)NbO3 (KNN) based piezoelectric ceramics are the most promising lead-free system to replace lead zirconate titanate (PZT) in the piezoelectric field due to their suitable piezoelectric coefficient and high Curie temperature. Currently, the research on the performance regulation of KNN has matured, and … 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
Introduction Piezoelectric ceramics are an important functional ceramic that realize the conversion between electrical and mechanical energy through the piezoelectric effect. They are widely used in fields such as information sensing, medical health, military defense, and aerospace. To date, the most studied piezoelectric materials are piezoelectric ceramics with a perovskite structure. However, due to the … Read more
Research Background: Micro piezoelectric ultrasonic transducers (pMUTs) have significant applications in fields such as medical imaging, fingerprint recognition, distance detection, and gesture recognition. The emission sensitivity of the device is one of the most important indicators for evaluating the pMUT emitter, in which the piezoelectric layer plays a critical role. In recent years, the piezoelectric … Read more