Abstract: A kernel-based recursive least-squares algorithm that implements a fixed size ldquosliding-windowrdquo technique has been recently proposed for fast adaptive nonlinear filtering applications ...
A high-performance implementation of butterfly matrix multiplication using Triton GPU kernels, with comprehensive testing, profiling, and benchmarking tools. butterfly_matrix_kernel/ ├── triton_kernel ...
Abstract: The Kernel k-Means algorithm for clustering extends the classic k-Means clustering algorithm. It uses the kernel trick to implicitly calculate distances on a higher dimensional space, thus ...
MatrixSketcher is a high-performance Python library for matrix sketching, enabling scalable and memory-efficient approximations for large matrices. It provides a suite of randomized algorithms for ...
This is a preview. Log in through your library . Abstract Environmental conditions affect grain yield in maize (Zea mays L.) mainly by altering the kernel number per plant (KNP). This number is ...
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