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» Solving Hierarchical Optimization Problems Using MOEAs
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HIS
2008
15 years 4 months ago
Evaluating Ranking Composition Methods for Multi-Objective Optimization of Knowledge Rules
Most symbolic classifiers aim at building sets of rules with good coverage and precision. While this is suitable for most applications, they tend to neglect other desirable proper...
Rafael Giusti, Gustavo E. A. P. A. Batista, Ronald...
KDD
2009
ACM
192views Data Mining» more  KDD 2009»
16 years 3 months ago
Learning optimal ranking with tensor factorization for tag recommendation
Tag recommendation is the task of predicting a personalized list of tags for a user given an item. This is important for many websites with tagging capabilities like last.fm or de...
Steffen Rendle, Leandro Balby Marinho, Alexandros ...
COCOA
2010
Springer
15 years 1 months ago
Time Optimal Algorithms for Black Hole Search in Rings
In a network environments supporting mobile entities (called robots or agents), a black hole is harmful site that destroys any incoming entity without leaving any visible trace. Th...
Balasingham Balamohan, Paola Flocchini, Ali Miri, ...
CORR
2011
Springer
145views Education» more  CORR 2011»
14 years 10 months ago
MDS Array Codes with Optimal Rebuilding
—MDS array codes are widely used in storage systems to protect data against erasures. We address the rebuilding ratio problem, namely, in the case of erasures, what is the the fr...
Itzhak Tamo, Zhiying Wang, Jehoshua Bruck
IPPS
2005
IEEE
15 years 8 months ago
Optimal Channel Assignments for Lattices with Conditions at Distance Two
The problem of radio channel assignments with multiple levels of interference can be modeled using graph theory. Given a graph G, possibly infinite, and real numbers k1, k2, . . ...
Jerrold R. Griggs, Xiaohua Teresa Jin