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CP
2006
Springer
13 years 11 months ago
Performance Prediction and Automated Tuning of Randomized and Parametric Algorithms
Abstract. Machine learning can be utilized to build models that predict the runtime of search algorithms for hard combinatorial problems. Such empirical hardness models have previo...
Frank Hutter, Youssef Hamadi, Holger H. Hoos, Kevi...
UIST
2005
ACM
14 years 1 months ago
Preference elicitation for interface optimization
Decision-theoretic optimization is becoming a popular tool in the user interface community, but creating accurate cost (or utility) functions has become a bottleneck — in most c...
Krzysztof Gajos, Daniel S. Weld
ESEM
2007
ACM
13 years 9 months ago
Mining Software Evolution to Predict Refactoring
Can we predict locations of future refactoring based on the development history? In an empirical study of open source projects we found that attributes of software evolution data ...
Jacek Ratzinger, Thomas Sigmund, Peter Vorburger, ...
JUCS
2010
150views more  JUCS 2010»
13 years 6 months ago
SOM Clustering to Promote Interoperability of Directory Metadata: A Grid-Enabled Genetic Algorithm Approach
: Directories provide a general mechanism for describing resources and enabling information sharing within and across organizations. Directories must resolve differing structures a...
Lei Li, Vijay K. Vaishnavi, Art Vandenberg
IJCAI
2007
13 years 9 months ago
Communicating Effectively in Resource-Constrained Multi-Agent Systems
Agents with partial observability need to share information to achieve decentralised coordination. However, in resource-constrained systems, indiscriminate communication can creat...
Partha Sarathi Dutta, Claudia V. Goldman, Nicholas...