KNN

Interpretable Machine Learning for High Piezoelectric Coefficients in KNN Ceramics

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Interpretable Machine Learning for High Piezoelectric Coefficients in KNN Ceramics

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

KNN-Diffusion: A New Approach to Diffusion Model Training

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KNN-Diffusion: A New Approach to Diffusion Model Training

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 Materials (6. KNN Algorithm)

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Wenzhou University Machine Learning Course Materials (6. KNN Algorithm)

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

Comparison of Five Image Classification Methods: KNN, SVM, BPNN, CNN, and Transfer Learning

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Comparison of Five Image Classification Methods: KNN, SVM, BPNN, CNN, and Transfer Learning

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

Gzip + KNN Outperforms BERT Classification Performance

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Gzip + KNN Outperforms BERT Classification Performance

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

Gzip + kNN Text Classification Beats Transformer with 14 Lines of Code

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Gzip + kNN Text Classification Beats Transformer with 14 Lines of Code

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

Comparison of Five Image Classification Methods: KNN, SVM, BPNN, CNN, and Transfer Learning

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Comparison of Five Image Classification Methods: KNN, SVM, BPNN, CNN, and Transfer Learning

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

High Voltage Electrical Performance of Lead-Free KNN-Based Textured Ceramics

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High Voltage Electrical Performance of Lead-Free KNN-Based Textured Ceramics

Click above on “Material People” to subscribe to us [Introduction] Piezoelectric materials are functional materials that can convert electrical energy into mechanical energy and vice versa. Piezoelectric ceramics are widely used in electronic devices such as transducers, sensors, actuators, and energy harvesters due to their positive piezoelectric effect (i.e., piezoelectric ceramics generate charges on their … Read more

A Novel Hybrid Method for Plant Classification Based on CNN-KNN

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A Novel Hybrid Method for Plant Classification Based on CNN-KNN

A Novel Hybrid Method for Plant Classification Based on CNN-KNN Abstract: Plant classification is an interesting problem in the field of computer vision. Many researchers have completed the classification of plants through their leaves and flowers. Multiple studies have shown that leaves are the best and most consistent source of information for plant classification. However, … Read more

Breakthrough LSTM! Multivariate Data Anomaly Detection with LSTM and KNN

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Breakthrough LSTM! Multivariate Data Anomaly Detection with LSTM and KNN

Hello, I am Xiao Chu~ Today we are going to talk about a topic: using LSTM and KNN for multivariate data anomaly detection. Related Principles Multivariate Data Anomaly Detection is a very important task, especially in complex contexts such as high-dimensional data and time series data. Traditional anomaly detection methods (such as those based on … Read more