The Hidden Leadership Trap: Linear Thinking In An Exponential World

Thriving in an exponential world requires more than a better strategy. It demands quantum thinking, the shift from linear ...
eLife

Importance of higher-order epistasis in protein sequence-function relationships

In this important work, the authors present a new transformer-based neural network designed to isolate and quantify higher-order epistasis in protein sequences. They provide solid evidence that higher ...
Hosted on MSN

Linear Regression Cost Function | Machine Learning | Explained Simply

Learn what is Linear Regression Cost Function in Machine Learning and how it is used. Linear Regression Cost function in Machine Learning is "error" representation between actual value and model ...
ascopubs.org

Impact of declining renal function on multiple myeloma (MM) mortality in the U.S. (1999-2023): A regression analysis using the CDC WONDER database.

The HealthTree Cure Hub registry: A patient-centered, multicenter approach to advancing multiple myeloma care. This is an ASCO Meeting Abstract from the 2025 ASCO Annual Meeting I. This abstract does ...
IEEE

An Optimal Regression Algorithm for Piecewise Functions Expressed as Object-Oriented Programs

Abstract: Core Java is a framework which extends the programming language Java with built-in regression analysis, i.e., the capability to do parameter estimation for a function. Core Java is unique in ...
Scientific Research Publishing

Ghosal, R. and Maity, A. (2021) Variable Selection in Nonlinear Function-on-Scalar Regression. Biometrics, 79, 292-303.

ABSTRACT: Function-on-scalar regression is a type of function response regression used to analyze the relationship between function response and a set of scalar predictor factors. The variable ...
Scientific Research Publishing

Fan, Z. and Reimherr, M. (2017) High-Dimensional Adaptive Function-on-Scalar Regression. Econometrics and Statistics, 1, 167-183.

ABSTRACT: Function-on-scalar regression is a type of function response regression used to analyze the relationship between function response and a set of scalar predictor factors. The variable ...
GitHub

Time series forecasting of car parking data in Birmingham, UK. Applied different forcasting models such as regression models, exponential smoothing, ARIMA, Neural Networks, and ...

Time series forecasting of car parking data in Birmingham, UK. Applied different forcasting models such as regression models, exponential smoothing, ARIMA, Neural Networks, and aggregated forecasti ...