Abstract: The article focuses on enhancing sigma-pi neural networks by using polynomial activation functions to address the vanishing gradient problem common in deep networks with linear activations.

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...

Studying with Claude is a chore. That's could be it's greatest selling point. Credit: Ian Moore / Mashable Composite; Anthropic This is the third in a series of stories diving into a new wave of ...

Here is the class signature, so you can see what it supports, but suffice it to say it supports all the typical arithmetic operations one would expect from an arithmetic class library. public class ...

The Price to Earnings (P/E) ratio, a key valuation measure, is calculated by dividing the stock's most recent closing price by the sum of the diluted earnings per share from continuing operations for ...

Beyond the glam, the GMA Gala lived up to the hype and stayed true to its mission by raising funds for the GMA Kapuso Foundation. The GMA Gala has become more than just a red-carpet spectacle. Every ...

remove-circle Internet Archive's in-browser bookreader "theater" requires JavaScript to be enabled. It appears your browser does not have it turned on. Please see ...

Polynomials and power functions are the foundation for modelling non-linear relationships. Polynomial functions such as quadratic, cubic and quartic model variables raised to exponents of different ...

When you multiply a number by a power, you are really just multiplying that number by itself a number of times equal to the power. This means that, for example, 2 multiplied by a power of 3 is the ...

Polynomial equations are fundamental concepts in mathematics that define relationships between numbers and variables in a structured manner. In mathematics, various equations are composed using ...

Presenting an algorithm that solves linear systems with sparse coefficient matrices asymptotically faster than matrix multiplication for any ω > 2. Our algorithm can be viewed as an efficient, ...

This paper discusses a simple and effective method for the summation of long sequences of floating point numbers. The method comprises two phases: an accumulation phase where the mantissas of the ...