428 search results - page 23 / 86 » Preference learning with Gaussian processes |
SIGIR
2006
ACM
14 years 1 months ago
2006
ACM
We introduce a novel approach to combining rankings from multiple retrieval systems. We use a logistic regression model or an SVM to learn a ranking from pairwise document prefere...
AIME
2009
Springer
13 years 12 months ago
2009
Springer
Abstract. Mechanical ventilation can cause severe lung damage by inadequate adjustment of the ventilator. We introduce a Machine Learning approach to predict the pressure-dependent...
ICML
2006
IEEE
14 years 8 months ago
2006
IEEE
Ordinal regression has become an effective way of learning user preferences, but most of research only focuses on single regression problem. In this paper we introduce collaborati...
DSMML
2004
Springer
14 years 22 days ago
2004
Springer
The informative vector machine (IVM) is a practical method for Gaussian process regression and classification. The IVM produces a sparse approximation to a Gaussian process by com...
GECCO
2007
Springer
14 years 1 months ago
2007
Springer
We are developing an adaptive reminding system, which learns when and how to present notifications. In this paper, we focus on our XCS-based model, composed of two cascaded sets ...