70 search results - page 1 / 14 » Active Preference Learning with Discrete Choice Data |
NIPS
2007
13 years 6 months ago
2007
We propose an active learning algorithm that learns a continuous valuation model from discrete preferences. The algorithm automatically decides what items are best presented to an...
IUI
2005
ACM
13 years 10 months ago
2005
ACM
We present PLIANT, a learning system that supports adaptive assistance in an open calendaring system. PLIANT learns user preferences from the feedback that naturally occurs during...
ACIVS
2006
Springer
13 years 11 months ago
2006
Springer
In this paper we propose the use of Discrete Choice Analysis (DCA) for static facial expression classification. Facial expressions are described with expression descriptive units ...
PKDD
2010
Springer
13 years 3 months ago
2010
Springer
Abstract. In preference learning, the algorithm observes pairwise relative judgments (preference) between items as training data for learning an ordering of all items. This is an i...
SIGIR
2011
ACM
12 years 7 months ago
2011
ACM
While a user’s preference is directly reflected in the interactive choice process between her and the recommender, this wealth of information was not fully exploited for learni...