119 search results - page 10 / 24 » Preference Elicitation and Query Learning |
AUSAI
2008
Springer
13 years 9 months ago
2008
Springer
When a user is looking for a product recommendation they usually lack expert knowledge regarding the items they are looking for. Ontologies on the other hand are crafted by experts...
Publication
We generalise the problem of inverse reinforcement learning to multiple tasks, from multiple demonstrations. Each one may represent one expert trying to solve a different task, or ...
NIPS
2007
13 years 8 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...
IJCAI
2007
13 years 8 months ago
2007
Inverse Reinforcement Learning (IRL) is the problem of learning the reward function underlying a Markov Decision Process given the dynamics of the system and the behaviour of an e...
JUCS
2010
13 years 5 months ago
2010
Abstract: This paper addresses the problem of expressing preferences among nonfunctional properties of services in a Web service architecture. In such a context, semantic and non-f...