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301
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GECCO
2007
Springer
16 years 1 months ago
2007
Springer
Bayesian Networks are today used in various fields and domains due to their inherent ability to deal with uncertainty. Learning Bayesian Networks, however is an NP-Hard task [7]....
191
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APN
2005
Springer
16 years 25 days ago
2005
Springer
State explosion is a fundamental problem in the analysis and synthesis of discrete event systems. Continuous Petri nets can be seen as a relaxation of discrete models allowing more...
296
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AI
2003
Springer
16 years 15 days ago
2003
Springer
The prediction of a protein’s structure from its amino-acid sequence is one of the most important problems in computational biology. In the current focus on a widely studied abst...
208
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AISC
2010
Springer
16 years 2 days ago
2010
Springer
Mathematical notations around the world are diverse. Not as much as requiring computing machines’ makers to adapt to each culture, but as much as to disorient a person landing on...
180
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AIPS
2010
15 years 9 months ago
2010
Factored planning methods aim to exploit locality to efficiently solve large but "loosely coupled" planning problems by computing solutions locally and propagating limit...