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» Problems of learning in multi-agent systems
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GECCO
2004
Springer
119views Optimization» more  GECCO 2004»
15 years 10 months ago
Learning Environment for Life Time Value Calculation of Customers in Insurance Domain
A critical success factor in Insurance business is its ability to use information sources and contained knowledge in the most effective way. Its profitability is obtained through t...
Andrea Tettamanzi, Luca Sammartino, Mikhail Simono...
ER
1998
Springer
100views Database» more  ER 1998»
15 years 9 months ago
Designing Well-Structured Websites: Lessons to Be Learned from Database Schema Methodology
Abstract. In this paper we argue that many of the problems one may experience while visiting websites today may be avoided if their builders adopt a proper methodology for designin...
Olga De Troyer
IJCAI
2007
15 years 6 months ago
Semi-Supervised Learning of Attribute-Value Pairs from Product Descriptions
We describe an approach to extract attribute-value pairs from product descriptions. This allows us to represent products as sets of such attribute-value pairs to augment product d...
Katharina Probst, Rayid Ghani, Marko Krema, Andrew...
BMCBI
2006
151views more  BMCBI 2006»
15 years 5 months ago
Machine learning and word sense disambiguation in the biomedical domain: design and evaluation issues
Background: Word sense disambiguation (WSD) is critical in the biomedical domain for improving the precision of natural language processing (NLP), text mining, and information ret...
Hua Xu, Marianthi Markatou, Rositsa Dimova, Hongfa...
RECSYS
2009
ACM
15 years 11 months ago
Preference elicitation with subjective features
Utility or preference elicitation is a critical component in many recommender and decision support systems. However, most frameworks for elicitation assume a predefined set of fe...
Craig Boutilier, Kevin Regan, Paolo Viappiani