In Pyper, the task decorator is used to transform functions into composable pipelines. Let's simulate a pipeline that performs a series of transformations on some data.

This repository contains the implementation of the granular ball-based feature selection algorithm for multi-label learning, as described in the research paper published in Knowledge-Based Stems. Note ...

In the murky waters of Ushiku-numa, a freshwater pond just northeast of Tokyo, a microscopic drama has been playing out for eons, entirely unseen. Here, single-celled amoebae drift through the silt, ...

Abstract: Federated learning (FL) is a privacy-preserving distributed machine learning approach that enables multiple parties to collaboratively train machine learning models without sharing local ...

Abstract: This paper proposes an algorithm to optimize the walking of humanoid robots based on the inverse kinematic model combined with a Genetic Algorithm. The objectives are to improve the sagittal ...