GitHub

APR Mini Project on SVM and SVR

In this project, We build a Support Vector Machines classifier to classify a Pulsar star. We have used the Predicting a Pulsar Star dataset for this project. We have downloaded this dataset from the ...
GitHub

SVMClassifier-Linear Kernel - 3 class classification data

here , Linear kernel does hard classification, but OVR.predict uses score() method and does plattScaling. Please do let me know what is the possible issue here. How to get prediction result from this ...
blockchain

NVIDIA Expands Python Capabilities with CUDA Kernel Fusion Tools

NVIDIA introduces cuda.cccl, bridging the gap for Python developers by providing essential building blocks for CUDA kernel fusion, enhancing performance across GPU architectures. NVIDIA has unveiled a ...
IEEE

Comparative Analysis of a Quantum SVM With an Optimized Kernel Versus Classical SVMs

Abstract: Support Vector Machine (SVM) is a widely used algorithm for classification, valued for its flexibility with kernels that effectively handle non-linear problems and high-dimensional data.
Morningstar

MicroCloud Hologram Inc. Develops End-to-End Quantum Classifier Technology Based on Quantum Kernel Technology

SHENZHEN, China, May 20, 2025 (GLOBE NEWSWIRE) -- MicroCloud Hologram Inc. (NASDAQ: HOLO), (“HOLO” or the "Company"), a technology service provider, announced the development of a new quantum ...
Scientific Research Publishing

Research on Credit Risk Rating of Commercial Banks Based on Support Vector Machine

In the era of big data and artificial intelligence, machine learning is one of the hot issues in the field of credit rating. On the basis of combing the literature on credit rating methods at home and ...
IEEE

Diminishing learning based SVM classifier with non-linear kernels

Abstract: Support Vector Machine (SVM) is one of the state-of-the-art tools for linear and nonlinear pattern classification. One of the design issues in SVM classifier is reducing the number of ...