𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Classification and Categorical Inputs with Treed Gaussian Process Models

✍ Scribed by Tamara Broderick; Robert B. Gramacy

Publisher
Springer
Year
2011
Tongue
English
Weight
597 KB
Volume
28
Category
Article
ISSN
0176-4268

No coin nor oath required. For personal study only.

πŸ“œ SIMILAR VOLUMES

Ridge estimation for regression models w
Ridge estimation for regression models with crisp inputs and Gaussian fuzzy output
✍ Dug Hun Hong; Changha Hwang; Chulhwan Ahn πŸ“‚ Article πŸ“… 2004 πŸ› Elsevier Science 🌐 English βš– 244 KB

This paper deals with ridge estimation of fuzzy multiple linear and nonlinear regression models with crisp inputs and Gaussian fuzzy output. Using ridge regression learning algorithm in the Lagrangian dual space, we describe a ridge estimation of fuzzy multiple linear regression model of Xu and Li (

A Single Compartment Quantal Response Mo
A Single Compartment Quantal Response Model with a Renewal Type Input Process and IID Releases
✍ Prof. Wen-Jang Huang; Prof. Mong-Na Lo Huang πŸ“‚ Article πŸ“… 1989 πŸ› John Wiley and Sons 🌐 English βš– 447 KB πŸ‘ 1 views

## Summuy We deal with a single compartment quanta1 response model, where unlike the previous models, which do not have any input after the administration of a single dose Z(O)=z at time t = O , we allow inputs of doses after time t=O. More precisely, the system uses the (a, S) input policy as in