IEEE

Additive Tree-Structured Conditional Parameter Spaces in Bayesian Optimization: A Novel Covariance Function and a Fast Implementation

Abstract: Bayesian optimization (BO) is a sample-efficient global optimization algorithm for black-box functions which are expensive to evaluate. Existing literature on model based optimization in ...
Visual Studio Magazine

Quadratic Regression with SGD Training Using JavaScript

Quadratic regression is a classical machine learning technique to predict a single numeric value. Quadratic regression is an extension of basic linear regression. Quadratic regression can deal with ...
GitHub

CMP API Specification.md

This is one of the IAB Tech Lab Global Privacy Platform Specifications. It defines the API for Consent Management Platforms (CMPs). The CMP API is the interface a CMP ...
thorax.bmj

Pulmonary sarcoidosis: differences in lung function change over time

Introduction Given the heterogeneity of sarcoidosis, predicting disease course of patients remains a challenge. Our aim was to determine whether the 3-year change in pulmonary function differed ...
IEEE

Fixed-time parameter estimation in polynomial systems through modulating functions

Abstract: In this work, a novel procedure for identifying the parameters of a polynomial systems is introduced. In order to get a regression form of the system, and to avoid the necessity of ...