Abstract: Executable file analysis is a pivotal technology in the fields of cybersecurity and software engineering, with applications including malware detection, code similarity analysis, and ...
Implement Neural Network in Python from Scratch ! In this video, we will implement MultClass Classification with Softmax by making a Neural Network in Python from Scratch. We will not use any build in ...
Why Policy-Conditioned Safety Matters? Conventional moderation models are trained on a single fixed policy. When that policy changes, the model must be retrained or replaced. gpt-oss-safeguard ...
Implement Neural Network in Python from Scratch ! In this video, we will implement MultClass Classification with Softmax by making a Neural Network in Python from Scratch. We will not use any build in ...
Electric vehicle giant Tesla Inc (NASDAQ:TSLA) reported second-quarter financial results after market close Wednesday. What Happened: Tesla reported second-quarter revenue of $22.5 billion, down 12% ...
Abstract: To effectively address the challenges of undersampling techniques when handling imbalanced data, a new undersampling ensemble learning algorithm based on Kernel Density Estimation (KDEE) is ...
Purpose: This study introduces two-dimensional (2D) Kernel Density Estimation (KDE) plots as a novel tool for visualising Training Intensity Distribution (TID) in biathlon. The goal was to assess how ...
--lineage=NAME Specify lineage (optional) --outputdir=DIR Output directory (default: creates folder next to input file) --density-xlim=N Density plot X-axis limit (default: 1400) --neighbor-xlim=N ...
ABSTRACT: Stable distributions are well-known for their desirable properties and can effectively fit data with heavy tail. However, due to the lack of an explicit probability density function and ...
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