Post-Modern Portfolio Theory Explained: Optimizing with Downside Risk

Post-modern portfolio theory uses downside risk to refine portfolio optimization. Learn how PMPT offers an alternative to modern portfolio theory for risk-adjusted returns.

Chongwei Shi Advances Biostatistical Methods and Computational Biology Through Deep Learning and Statistical Shape Analysis

A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic ...
IEEE

AIGGIII-DO: Adaptive IGGIII Robust Estimation Method Based on Damping Optimization for Promoting the Application of Spherical Targets

Abstract: Spherical targets have important application value in large-scale terrestrial laser scanning (TLS). A spherical target has rotational invariance, and its center is often used as the ...

AI method advances customized enzyme design

Enzymes with specific functions are becoming increasingly important in industry, medicine and environmental protection. For example, they make it possible to synthesize chemicals in a more ...
IEEE

Hierarchical Text Classification Method Driven by Dynamic Hierarchical Fusion and Prompt Embedding

Abstract: Hierarchical Text Classification, as a critical task in natural language processing, has broad applications in scenarios with complex label structures and limited samples. However, existing ...