Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...
The output path must be a directory; it will be created if it does not exist. Input formats are auto-detected per file. Unsupported formats and write-only inputs (e.g., SVG) are skipped with a warning ...
The core of this work is the Vector Coherent Mode Decomposition (VCMD), a numerical method to analyze the statistical properties of arbitrary, partially coherent vector beams. The method is based on ...
Abstract: Sparse Matrix-Vector Multiplication (SpMV) is an essential sparse operation in scientific computing and artificial intelligence. Efficiently adapting SpMV algorithms to diverse matrices and ...
Abstract: Numerous studies have proposed hardware architectures to accelerate sparse matrix multiplication, but these approaches often incur substantial area and power overhead, significantly ...