IEEE

SeqNAS: Neural Architecture Search for Event Sequence Classification

Abstract: Neural Architecture Search (NAS) methods are widely used in various industries to obtain high-quality, task-specific solutions with minimal human intervention. Event Sequences (EvS) find ...

Databricks built a RAG agent it says can handle every kind of enterprise search

Databricks' KARL agent uses reinforcement learning to generalize across six enterprise search behaviors — the problem that breaks most RAG pipelines.
GitHub

TfELM : Extreme Learning Machines Framework with Python and TensorFlow

This framework provides a comprehensive set of tools and utilities for implementing and experimenting with Extreme Learning Machines using Python and TensorFlow. ELMs are a type of machine learning ...
IEEE

A Sparrow Search Algorithm Based on Sobol Sequence and Crisscross Strategy (SSASC) with its Application in Robotic Path Planning

Abstract: To improve the initial population distribution is uneven and easy to fall into local optima of sparrow search algorithm (SSA), this paper proposes an enhanced version called the SSA based on ...