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AAAI
2010
14 years 9 days ago
Assisting Users with Clustering Tasks by Combining Metric Learning and Classification
Interactive clustering refers to situations in which a human labeler is willing to assist a learning algorithm in automatically clustering items. We present a related but somewhat...
Sumit Basu, Danyel Fisher, Steven M. Drucker, Hao ...
ATAL
2009
Springer
14 years 5 months ago
Combining fault injection and model checking to verify fault tolerance in multi-agent systems
The ability to guarantee that a system will continue to operate correctly under degraded conditions is key to the success of adopting multi-agent systems (MAS) as a paradigm for d...
Jonathan Ezekiel, Alessio Lomuscio
AAAI
2008
14 years 1 months ago
From Comparing Clusterings to Combining Clusterings
This paper presents a fast simulated annealing framework for combining multiple clusterings (i.e. clustering ensemble) based on some measures of agreement between partitions, whic...
Zhiwu Lu, Yuxin Peng, Jianguo Xiao
AAAI
2006
14 years 7 days ago
SEMAPLAN: Combining Planning with Semantic Matching to Achieve Web Service Composition
Composing existing Web services to deliver new functionality is a difficult problem as it involves resolving semantic, syntactic and structural differences among the interfaces of...
Rama Akkiraju, Biplav Srivastava, Anca-Andreea Iva...
AAAI
2007
14 years 1 months ago
An Intelligent System for Chinese Calligraphy
Our work links Chinese calligraphy to computer science through an integrated intelligence approach. We first extract strokes of existent calligraphy using a semi-automatic, twoph...
Songhua Xu, Hao Jiang, Francis Chi-Moon Lau, Yunhe...