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» Evaluating Adaptive Problem Selection
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272
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ECAI
2010
Springer
15 years 4 months ago
Bayesian Monte Carlo for the Global Optimization of Expensive Functions
In the last decades enormous advances have been made possible for modelling complex (physical) systems by mathematical equations and computer algorithms. To deal with very long run...
Perry Groot, Adriana Birlutiu, Tom Heskes
157
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JGAA
2007
135views more  JGAA 2007»
15 years 3 months ago
Challenging Complexity of Maximum Common Subgraph Detection Algorithms: A Performance Analysis of Three Algorithms on a Wide Dat
Graphs are an extremely general and powerful data structure. In pattern recognition and computer vision, graphs are used to represent patterns to be recognized or classified. Det...
Donatello Conte, Pasquale Foggia, Mario Vento
116
Voted
AICOM
2002
96views more  AICOM 2002»
15 years 3 months ago
Comparing environments for developing software agents
In the last years, dozens of environments for modeling, testing and finally implementing multi-agent systems have been developed. Unfortunately, no standard criteria for understand...
Thomas Eiter, Viviana Mascardi
129
Voted
PVLDB
2010
134views more  PVLDB 2010»
15 years 2 months ago
Conditioning and Aggregating Uncertain Data Streams: Going Beyond Expectations
Uncertain data streams are increasingly common in real-world deployments and monitoring applications require the evaluation of complex queries on such streams. In this paper, we c...
Thanh T. L. Tran, Andrew McGregor, Yanlei Diao, Li...
127
Voted
SUM
2010
Springer
15 years 2 months ago
Handling Inconsistency with Preference-Based Argumentation
Abstract. Argumentation is a promising approach for handling inconsistent knowledge bases, based on the justification of plausible conclusions by arguments. Due to inconsistency, ...
Leila Amgoud, Srdjan Vesic