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HIS
2007
13 years 11 months ago
2007
—Machine learning is inherently a multiobjective task. Traditionally, however, either only one of the objectives is adopted as the cost function or multiple objectives are aggreg...
IJCAI
2003
13 years 11 months ago
2003
We address the problem of optimally controlling stochastic environments that are partially observable. The standard method for tackling such problems is to define and solve a Part...
AAAI
1997
13 years 11 months ago
1997
Many stochastic planning problems can be represented using Markov Decision Processes (MDPs). A difficulty with using these MDP representations is that the common algorithms for so...
ATMN
1993
13 years 11 months ago
1993
Quality-of-service (QOS) requirements for applications in high-speed networks are typically specied on an end-to-end basis. Mapping this end-to-end requirement to nodal requiremen...
GECCO
2008
Springer
13 years 11 months ago
2008
Springer
While recent attempts to search a conceptual software engineering design search space with multi-objective evolutionary algorithms have yielded promising results, the practical ap...