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» Approximation Algorithms for Min-Max Generalization Problems
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SIGECOM
2005
ACM
92views ECommerce» more  SIGECOM 2005»
15 years 7 months ago
True costs of cheap labor are hard to measure: edge deletion and VCG payments in graphs
We address the problem of lowering the buyer’s expected payments in shortest path auctions, where the buyer’s goal is to purchase a path in a graph in which edges are owned by...
Edith Elkind
CIKM
2009
Springer
15 years 8 months ago
Frequent subgraph pattern mining on uncertain graph data
Graph data are subject to uncertainties in many applications due to incompleteness and imprecision of data. Mining uncertain graph data is semantically different from and computat...
Zhaonian Zou, Jianzhong Li, Hong Gao, Shuo Zhang
ICTAI
2009
IEEE
15 years 8 months ago
Evolution Strategies for Constants Optimization in Genetic Programming
Evolutionary computation methods have been used to solve several optimization and learning problems. This paper describes an application of evolutionary computation methods to con...
César Luis Alonso, José Luis Monta&n...
CORR
2010
Springer
113views Education» more  CORR 2010»
15 years 2 months ago
Opaque sets
The problem of finding "small" sets that meet every straight-line which intersects a given convex region was initiated by Mazurkiewicz in 1916. We call such a set an opa...
Adrian Dumitrescu, János Pach
FOCS
2005
IEEE
15 years 7 months ago
Truthful and Near-Optimal Mechanism Design via Linear Programming
We give a general technique to obtain approximation mechanisms that are truthful in expectation. We show that for packing domains, any α-approximation algorithm that also bounds ...
Ron Lavi, Chaitanya Swamy