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CEC
2010
IEEE
14 years 1 months ago
Revisiting Evolutionary Information Filtering
— Adaptive Information Filtering seeks a solution to the problem of information overload through a tailored representation of the user’s interests, called user profile, which ...
Nikolaos Nanas, Stefanos Kodovas, Manolis Vavalis
ISPDC
2007
IEEE
15 years 4 months ago
A Comparison of Scheduling Approaches for Mixed-Parallel Applications on Heterogeneous Platforms
Mixed-parallel applications can take advantage of largescale computing platforms but scheduling them efficiently on such platforms is challenging. In this paper we compare the tw...
Tchimou N'Takpé, Frédéric Sut...
IEEEHPCS
2010
14 years 8 months ago
Discovering closed frequent itemsets on multicore: Parallelizing computations and optimizing memory accesses
The problem of closed frequent itemset discovery is a fundamental problem of data mining, having applications in numerous domains. It is thus very important to have efficient par...
Benjamin Négrevergne, Alexandre Termier, Je...
GECCO
2007
Springer
119views Optimization» more  GECCO 2007»
15 years 4 months ago
Optimising the flow of experiments to a robot scientist with multi-objective evolutionary algorithms
A Robot Scientist is a physically implemented system that applies artificial intelligence to autonomously discover new knowledge through cycles of scientific experimentation. Ad...
Emma Byrne
CORR
2008
Springer
95views Education» more  CORR 2008»
14 years 10 months ago
Explicit Learning: an Effort towards Human Scheduling Algorithms
Scheduling problems are generally NP-hard combinatorial problems, and a lot of research has been done to solve these problems heuristically. However, most of the previous approach...
Jingpeng Li, Uwe Aickelin