Abstract: One of the most informative measures for feature extraction (FE) is mutual information (MI). In terms of MI, the optimal FE creates new features that jointly have the largest dependency on ...

This repo contains the code for the O'Reilly Media, Inc. book "Hands-on Unsupervised Learning Using ... examples and code provided, you will identify difficult-to-find patterns in data and gain deeper ...

Prior solutions fall into two categories: (1) pixel-wise segmentation-based ... supervised model to predict a rich set of features that capture the graph structure directly from an image. We evaluate ...

Abstract: In this paper, a novel feature extraction method, called orthogonal total variation ... the extracted features which is useful for classification. A cyclic descent algorithm called OTVCA-CD ...

“It can discover algorithms of remarkable complexity — spanning hundreds of lines of code with sophisticated ... and cutting overall training time by 1%. For AI systems that train on massive ...

For his first foray into animation, Ramy Youssef taps into stories from his own middle-school years for Prime Video’s #1 Happy Family USA. “I had all these stories from this period of time ...

Users can now employ the `#githubRepo` tool to search for code examples or ... stack by using Markdown-based instructions and prompt files.” Visual Studio Code 1.100 deepens AI integration ...

The Chat feature also switches to GPT-4.1 by default, a stronger and more reliable model from OpenAI. It’s designed for code, but you can switch to other models anytime from the Chat settings. Chat ...

OpenAI is enhancing its AI-powered “deep research” feature ... summarize code structure and patterns, and understand how to implement new APIs using real code examples. There’s a risk ...