This repository contains the code and resources for the paper Thinker: Learning to Think Fast and Slow, published at NeurIPS 2025. Our work introduces the Thinker task, a novel four-stage ...
Abstract: Feature selection (FS) is a critical task in data science and machine learning, presenting significant challenges in high-dimensional settings due to the complexity and noise inherent in ...
Abstract: Artificial neural network (ANN) models are widely used in various fields such as image classification, multi-object detection, intent prediction, military applications, and natural language ...
Turn and talk with sentence stems: Give sentence starters at multiple levels: “Multiplication is…” for some students, and ...
In this video, we will study Supervised Learning with Examples. We will also look at types of Supervised Learning and its applications. Supervised learning is a type of Machine Learning which learns ...
People who only had one job and couldn’t get it right. Fans walk out of Wizard of Oz Christmas show: 'It was atrocious' Florida’s 'forgotten' coastline offers quaint towns and fresh seafood without ...