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» Learning Algorithms for Domain Adaptation
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ICCBR
2005
Springer
14 years 2 months ago
On the Effectiveness of Automatic Case Elicitation in a More Complex Domain
Automatic case elicitation (ACE) is a learning technique in which a case-based reasoning system acquires knowledge automatically from scratch through repeated real-time trial and e...
Siva N. Kommuri, Jay H. Powell, John D. Hastings
ICML
2003
IEEE
14 years 9 months ago
AWESOME: A General Multiagent Learning Algorithm that Converges in Self-Play and Learns a Best Response Against Stationary Oppon
A satisfactory multiagent learning algorithm should, at a minimum, learn to play optimally against stationary opponents and converge to a Nash equilibrium in self-play. The algori...
Vincent Conitzer, Tuomas Sandholm
FAC
2010
140views more  FAC 2010»
13 years 6 months ago
From a domain analysis to the specification and detection of code and design smells
Code and design smells are recurring design problems in software systems that must be identified to avoid their possible negative consequences on development and maintenance. Conse...
Naouel Moha, Yann-Gaël Guéhéneu...
WEBI
2010
Springer
13 years 6 months ago
Incorporating Seasonality into Search Suggestions Derived from Intranet Query Logs
While much research has been performed on query logs collected for major Web search engines, query log analysis to enhance search on smaller and more focused collections has attrac...
Stephen Dignum, Udo Kruschwitz, Maria Fasli, Yunhy...
ITCC
2003
IEEE
14 years 2 months ago
Adapting a Multimedia Distance Learning Environment for Vision Impairments
Distance learning applications provide valuable opportunities to users with disabilities. To enhance the accessibility of the distance-learning portal to vision impaired users, we...
Vidhya Balasubramanian, Nalini Venkatasubramanian