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GECCO
2007
Springer
154views Optimization» more  GECCO 2007»
13 years 11 months ago
A multi-objective approach to search-based test data generation
There has been a considerable body of work on search–based test data generation for branch coverage. However, hitherto, there has been no work on multi–objective branch covera...
Kiran Lakhotia, Mark Harman, Phil McMinn
TIME
2002
IEEE
13 years 9 months ago
Applying Local Search to Temporal Reasoning
Local search techniques have attracted considerable interest in the Artificial Intelligence (AI) community since the development of GSAT [9] and the min-conflicts heuristic [5] ...
John Thornton, Matthew Beaumont, Abdul Sattar, Mic...
ECIR
2011
Springer
12 years 8 months ago
Learning Models for Ranking Aggregates
Aggregate ranking tasks are those where documents are not the final ranking outcome, but instead an intermediary component. For instance, in expert search, a ranking of candidate ...
Craig Macdonald, Iadh Ounis
AAAI
2012
11 years 7 months ago
Optimal Auctions for Spiteful Bidders
Designing revenue-optimal auctions for various settings is perhaps the most important, yet sometimes most elusive, problem in mechanism design. Spiteful bidders have been intensel...
Pingzhong Tang, Tuomas Sandholm
OZCHI
2006
ACM
13 years 11 months ago
Beyond security: implications for the future of federated digital identity management systems
Federated identity management is often viewed by corporations as a solution to support secure online commerce by synthesising complex and fragmented user information into a single...
Christine Satchell, Graeme G. Shanks, Steve Howard...