A Support Vector Machine based approach for plagiarism detection in Python code submissions in undergraduate settingsdoi:10.3389/fcomp.2024.1393723Gandhi, NandiniGopalan, KaushikPrasad, PrajishFrontiers in Computer Science
There are lots of learning algorithms for classification, e.g. support vector machine, random forest, neural network, etc. How well a learning algorithm can perform is highly related to the input feature. Input feature is a representation that captures the essence of the object under classificatio...
Light Gradient Boosting Machine (requires GPU installation:https://lightgbm.readthedocs.io/en/latest/GPU-Tutorial.html) Logistic Regression, Ridge Classifier, Random Forest, K Neighbors Classifier, K Neighbors Regressor, Support Vector Machine, Linear Regression, Ridge Regression, Lasso Regression (requires...
This repository collects some codes that encapsulates commonly used algorithms in the field of machine learning. Most of them are based on Numpy, Pandas or Torch. You can deepen your understanding to related model and algorithm or revise it to get the cu
In the previous article, we talked about what is QR code, its modes for encoding the data, and how to generate QR codes in Python. In this article, we are going to build an online QR code generator to make it convenient to generate QR codes in the browser. We... BARCODE ...
As time–frequency analysis gradually became the mainstream preprocessing method for Morse code feature extraction, researchers began to use decision trees, support vector machines, and other classifiers to distinguish various signals in time–frequency images, and gradually developed a class of detection ...
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Simple vector graphics in Python functime 0.9.5 Time-series machine learning at scale. forecastingembeddingsfeature-engineeringmachine-learningtime-seriespolarspanel-data lsassy 3.1.12 Python library to extract credentials from lsass remotely peel 0.1.0 ...
The StarVector architecture is shown in Figure 2. Addressing SVG generation with a code generation language model (CodeLLM) allows for preserving the richness and versatility of SVG primitives and syntax, as it can handle unaltered real-world SVGs and no need for simplification. Further, using ...
(2015) used Support Vector Machine and Decision Tree, respectively, for smell detection. Show abstract SmS: SMOTE-stacked hybrid model for diagnosis of polycystic ovary syndrome using feature selection method 2023, Expert Systems with Applications Citation Excerpt : The study resulted in accuracy of ...