428 search results - page 23 / 86 » Preference learning with Gaussian processes |
105
Voted
SIGIR
2006
ACM
15 years 8 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...
114
Voted
AIME
2009
Springer
15 years 7 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...
117
Voted
ICML
2006
IEEE
16 years 3 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...
132
Voted
DSMML
2004
Springer
15 years 8 months 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...
100
Voted
GECCO
2007
Springer
15 years 8 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 ...