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» Proving Time Bounds for Randomized Distributed Algorithms
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SPAA
2006
ACM
15 years 3 months ago
Playing push vs pull: models and algorithms for disseminating dynamic data in networks
Consider a network in which a collection of source nodes maintain and periodically update data objects for a collection of sink nodes, each of which periodically accesses the data...
R. C. Chakinala, Abishek Kumarasubramanian, Kofi A...
DKE
2008
109views more  DKE 2008»
14 years 10 months ago
Deterministic algorithms for sampling count data
Processing and extracting meaningful knowledge from count data is an important problem in data mining. The volume of data is increasing dramatically as the data is generated by da...
Hüseyin Akcan, Alex Astashyn, Hervé Br...
IPL
2008
89views more  IPL 2008»
14 years 10 months ago
On the tractability of coloring semirandom graphs
As part of the efforts put in understanding the intricacies of the k-colorability problem, different distributions over k-colorable graphs were analyzed. While the problem is notor...
Julia Böttcher, Dan Vilenchik
SIGECOM
2005
ACM
92views ECommerce» more  SIGECOM 2005»
15 years 3 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
GECCO
2010
Springer
155views Optimization» more  GECCO 2010»
15 years 2 months ago
Negative selection algorithms without generating detectors
Negative selection algorithms are immune-inspired classifiers that are trained on negative examples only. Classification is performed by generating detectors that match none of ...
Maciej Liskiewicz, Johannes Textor