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» Evolving by Maximizing the Number of Rules: Complexity Study
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ML
2000
ACM
244views Machine Learning» more  ML 2000»
14 years 9 months ago
Learnable Evolution Model: Evolutionary Processes Guided by Machine Learning
A new class of evolutionary computation processes is presented, called Learnable Evolution Model or LEM. In contrast to Darwinian-type evolution that relies on mutation, recombinat...
Ryszard S. Michalski
IFIPTCS
2010
14 years 7 months ago
Deterministic Computations in Time-Varying Graphs: Broadcasting under Unstructured Mobility
Most highly dynamic infrastructure-less networks have in common that the assumption of connectivity does not necessarily hold at a given instant. Still, communication routes can be...
Arnaud Casteigts, Paola Flocchini, Bernard Mans, N...
SIGCOMM
1998
ACM
15 years 1 months ago
Scalable QoS Provision Through Buffer Management
In recent years, a number of link scheduling algorithms have been proposed that greatly improve upon traditional FIFO scheduling in being able to assure rate and delay bounds for ...
Roch Guérin, Sanjay Kamat, Vinod G. J. Peri...
CORR
2006
Springer
148views Education» more  CORR 2006»
14 years 9 months ago
Budget Optimization in Search-Based Advertising Auctions
Internet search companies sell advertisement slots based on users' search queries via an auction. While there has been previous work on the auction process and its game-theor...
Jon Feldman, S. Muthukrishnan, Martin Pál, ...
BCB
2010
161views Bioinformatics» more  BCB 2010»
14 years 4 months ago
Genome-wide compatible SNP intervals and their properties
Recent studies suggest that the mammalian genomes can be subdivided in segments within which there is limited haplotype diversity. Understanding the distribution and structure of ...
Jeremy W. Wang, Kyle J. Moore, Qi Zhang, Fernando ...