title: Additive Regression Applied to a Large-Scale Collaborative Filtering Problem

authors: Frank, Eibe

subjects: computer science

abstract: The much-publicized Netflix competition has put the spotlight on the application domain of collaborative filtering and has sparked interest in machine learning algorithms that can be applied to this sort of problem. The demanding nature of the Netflix data has lead to some interesting and ingenious modifications to standard learning methods in the name of efficiency and speed. There are three basic methods that have been applied in most approaches to the Netflix problem so far: stand-alone neighborhood-based methods, latent factor models based on singular-value decomposition, and ensembles consisting of variations of these techniques. In this paper we investigate the application of forward stage-wise additive modeling to the Netflix problem, using two regression schemes as base learners: ensembles of weighted simple linear regressors and k-means clustering—the latter being interpreted as a tool for multi-variate regression in this context. Experimental results show that our methods produce competitive results.

text: Additive Regression Applied to a Large-Scale Collaborative Filtering Problem The much-publicized Netflix competition has put the spotlight on the application domain of collaborative filtering and has sparked interest in machine learning algorithms that can be applied to this sort of problem. The demanding nature of the Netflix data has lead to some interesting and ingenious modifications to standard learning methods in the name of efficiency and speed. There are three basic methods that have been applied in most approaches to the Netflix problem so far: stand-alone neighborhood-based methods, latent factor models based on singular-value decomposition, and ensembles consisting of variations of these techniques. In this paper we investigate the application of forward stage-wise additive modeling to the Netflix problem, using two regression schemes as base learners: ensembles of weighted simple linear regressors and k-means clustering—the latter being interpreted as a tool for multi-variate regression in this context. Experimental results show that our methods produce competitive results.

year: 2008

title: Lake Tarawera - The costs of P mitigation and pest control

authors: Corbett, Greg

abstract: Firstly, we have been asked to talk about the costs of mitigating P in the Tarawera catchments. It is reasonably well understood that farming activities can lead to phosphorus loss if they are not managed properly. Recent studies have also shown the possible links between pests and phosphorus loss in forested catchments.
John and I will give this presentation in two parts. I will talk about pests and then John will move to farming. Neither of us will predict how much phosphorus could be managed nor comment on the cost-effectiveness of any actions. We simply attempt to provide ballpark figures for work that could reduce phosphorus losses to the lakes to some degree.

text: Lake Tarawera - The costs of P mitigation and pest control Firstly, we have been asked to talk about the costs of mitigating P in the Tarawera catchments. It is reasonably well understood that farming activities can lead to phosphorus loss if they are not managed properly. Recent studies have also shown the possible links between pests and phosphorus loss in forested catchments.
John and I will give this presentation in two parts. I will talk about pests and then John will move to farming. Neither of us will predict how much phosphorus could be managed nor comment on the cost-effectiveness of any actions. We simply attempt to provide ballpark figures for work that could reduce phosphorus losses to the lakes to some degree.

year: 2017

title: An Interactive User Management System for Multilingual Documents: A case study of the Pei Jones collection

authors: Cader, Papitha

subjects: Greenstone Digital Library

abstract: Can general purpose DL software architecture be designed to provide a flexible environment that supports both the management and end-user roles through a single unified web interface? In particular we take the collected correspondence of the Māori scholar Dr. Pei Jones and undertake case study of how this approach can be applied in a practical way.

text: An Interactive User Management System for Multilingual Documents: A case study of the Pei Jones collection Can general purpose DL software architecture be designed to provide a flexible environment that supports both the management and end-user roles through a single unified web interface? In particular we take the collected correspondence of the Māori scholar Dr. Pei Jones and undertake case study of how this approach can be applied in a practical way.

year: 2012