Abstract: The radial basis function neural network (RBFNN) is a learning model with better generalization ability, which attracts much attention in nonlinear system identification. Compared with the ...

Despite technological development and the accelerating pace of life due to neoliberal policies, books continue to remain an ...

Learn how convexity adjustments in bonds affect interest rates and prices using key formulas. Understand their importance in accurately predicting bond price changes.

Linear GTM models can’t explain stalled buyer decisioning or collapsing performance. A causal GTM logic layer is emerging to restore clarity and control. The post The future of GTM starts with causal ...

Abstract: Linear codes are widely studied in coding theory as they have nice applications in distributed storage, combinatorics, lattices, cryptography and so on. Constructing linear codes with ...

A research team at Duke University has developed a new AI framework that can uncover simple, understandable rules that govern ...

A research team at Duke University has developed a new AI framework that can uncover simple, understandable rules that govern some of the most complex ...

This new AI acts like a digital scientist, turning messy data into simple rules that explain how the world really works.

TV is in a full-scale transformation, with streaming giants challenging the dominance of traditional linear broadcasters. Audiences are shifting toward on-demand content, forcing networks to rethink ...