A Lightweight and User-Friendly EoH Framework for LLM-driven Automated Algorithm/Heuristic Design Heuristics are indispensable for tackling complex search and optimization problems. However, manual ...
Abstract: This study develops a random forest and support vector machine model combined with various technical indicators for stock price analysis. This model uses these indicators as input features ...
sensAI is a high-level AI toolkit with a specific focus on rapid experimentation for machine learning applications. Through high levels of abstraction and integration, sensAI minimises overhead whilst ...
Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. The embedding methods embed feature selection into model ...