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
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
As students entering the field of machine learning, many commonly used algorithms might not be very familiar to you. No worries! This article will definitely provide you with a complete overview~ Like and save it for slow learning~ Basic Machine Learning Algorithms: ·Linear Regression ·Support Vector Machine ·K-Nearest Neighbors ·Logistic Regression ·Decision Tree ·K-Means ·Random … Read more
A public academic platform initiated by overseas scholars Sharing information, integrating resources Exchanging academics, occasionally discussing literature High-performance piezoelectric ceramics are a crucial type of material in modern electronic devices. In pursuit of sustainable development, traditional lead-based piezoelectric materials dominated by PbZr1−xTixO3 (d33 ≈ 200-1500 pC/N) are gradually transitioning to lead-free piezoelectric ceramics based on … Read more
Recently, interesting works in the AIGC community have emerged one after another, thanks to the success of Diffusion Models. As an emerging topic in generative AI models, diffusion models have brought us many surprises. However, it is important to note that current text-to-image diffusion models require large-scale text-image paired datasets for pre-training, making it very … Read more
Wenzhou University Machine Learning Course, Lecturer: Huang Haiguang Download link: https://github.com/fengdu78/WZU-machine-learning-course Includes PDF materials, code, etc. Continuous updates will follow. Already released: Course Videos Part One Materials (Overview) Part Two Materials (Regression) Part Three Materials (Logistic Regression) Part Four Materials (Naive Bayes) Part Five Materials (Machine Learning Practice) I will also record the course and … Read more
Selected from | Medium Transferred from | Machine Heart Contributors | Jiang Siyuan, Huang Xiaotian, Wu Pan Image classification is one of the fundamental research topics in the field of artificial intelligence, and researchers have developed a large number of algorithms for image classification. Recently, Shiyu Mou published an article on Medium, comparing five methods … Read more
Paper Introduction “Low-Resource” Text Classification: A Parameter-Free Classification Method with Compressors https://aclanthology.org/2023.findings-acl.426/ This paper introduces a new method for text classification, providing a non-parametric alternative to Deep Neural Networks (DNNs). Although DNNs are widely used due to their high accuracy, they require a large amount of labeled data and millions of parameters, making their computational … Read more
A few days ago, the ACL 2023 awards were announced, attracting significant attention. Among the many papers included, one titled “Low-Resource Text Classification: A Parameter-Free Classification Method with Compressors” has started to generate much discussion. This paper was jointly completed by the University of Waterloo and AFAIK, but it is neither an award-winning paper nor … Read more
Selected from Medium Translated by Machine Heart Contributors: Jiang Siyuan, Huang Xiaotian, Wu Pan Image classification is one of the fundamental research topics in artificial intelligence, and researchers have developed a large number of algorithms for image classification. Recently, Shiyu Mou published an article on Medium that experimentally compared five methods for image classification (KNN, … Read more