Dual regression

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Ridge Regression Learning Algorithm in Dual Variables

In this paper we study a dual version of the Ridge Regression procedure. It allows us to perform non-linear regression by constructing a linear regression function in a high dimensional feature space. The feature space representation can result in a large increase in the number of parameters used by the algorithm. In order to combat this \curse of dimensionality", the algorithm allows the use o...

متن کامل

Regression Coefficient Estimation in Dual Frame Surveys

Dual frame surveys, in which independent samples are selected from two frames to decrease survey costs or to improve coverage, can present challenges for regression coefficient estimation because of complex designs and unknown degree of overlap. In this research, we developed four regression coefficient estimators in dual frame surveys. Simulation results show that all the proposed methods work...

متن کامل

Dual models for possibilistic regression analysis

Upper and lower regression models (dual possibilistic models) are proposed for data analysis with crisp inputs and interval or fuzzy outputs. Based on the given data, the dual possibilistic models can be derived from upper and lower directions, respectively, where the inclusion relationship between these two models holds. Thus, the inherent uncertainty existing in the given phenomenon can be ap...

متن کامل

Gaussian Process Based Dual Latent Function Approach to Ordinal Regression

The Gaussian process prior formulation introduced by us in this paper learns a mapping for ordinal regression task using dual sets of latent functions. In this formulation one set of latent functions are associated with data items and the other set of latent functions are associated with entities. An entity is a term introduced by us in this work to refer to the object responsible for assigning...

متن کامل

Dual Control with Active Learning using Gaussian Process Regression

In many real world problems, control decisions have to be made with limited information. The controller may have no a priori (or even posteriori) data on the nonlinear system, except from a limited number of points that are obtained over time. This is either due to high cost of observation or the highly non-stationary nature of the system. The resulting conflict between information collection (...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Biometrika

سال: 2018

ISSN: 0006-3444,1464-3510

DOI: 10.1093/biomet/asx074