FORECAST.ETS applies an exponential triple smoothing (ETS) algorithm to create forecasts that can include trend and seasonal ...

From electronic health records and blood tests to the stream of data from wearable devices, the amount of health information people generate is accelerating rapidly. Yet, many users struggle to ...

You’ve climbed the ladder, hit the milestones and checked every box. But something still feels off. You’re executing strategy flawlessly, and yet your organization isn’t transforming. Your decisions ...

ABSTRACT: This paper presents a new dimension reduction strategy for medium and large-scale linear programming problems. The proposed method uses a subset of the original constraints and combines two ...

Abstract: In this work, the multiplier method is extended to obtain a general lower bound on the exponential decay rate for port-Hamiltonian systems in one space dimension with boundary dissipation.

Activation functions for neural networks are an essential part of deep learning since they decide the accuracy and efficiency of the training model used to create or split a large-scale neural network ...

As a math teacher, one of the essential components of teaching is to help our students understand how graphing functions work, specifically Linear Functions. Linear functions are the foundation of all ...

In today's rapidly evolving world, technology and innovation are advancing at an exponential pace. Futurist and inventor Ray Kurzweil has long espoused the idea that technological progress is ...

An abstract implementation of a Multilayered Perceptron (Multilayered Feedforward Neural Network). Provides a well-documented API which exposes a wrapper around the whole process (all the way from ...