1753 search results - page 19 / 351 » Reducibility of domain representations and Cantor-Weihrauch ... |
ICML
2008
IEEE
14 years 8 months ago
2008
IEEE
Rich representations in reinforcement learning have been studied for the purpose of enabling generalization and making learning feasible in large state spaces. We introduce Object...
ER
2007
Springer
14 years 1 months ago
2007
Springer
Business modelling research is increasingly interested in exploring how domain ontologies can be used as reference models for business models. The Resource Event Agent (REA) ontolo...
OTM
2005
Springer
14 years 1 months ago
2005
Springer
Abstract. Due to the inherent difficulties associated with manual ontology building, knowledge acquisition and reuse are often seen as methods that can make this tedious process ea...
GECCO
2008
Springer
13 years 8 months ago
2008
Springer
Genetic-Based Machine Learning Systems (GBML) are comparable in accuracy with other learning methods. However, efficiency is a significant drawback. This paper presents a new rep...
ICCV
2011
IEEE
12 years 7 months ago
2011
IEEE
Adapting the classifier trained on a source domain to recognize instances from a new target domain is an important problem that is receiving recent attention. In this paper, we p...