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KDD
2005
ACM
149views Data Mining» more  KDD 2005»
15 years 11 months ago
A distributed learning framework for heterogeneous data sources
We present a probabilistic model-based framework for distributed learning that takes into account privacy restrictions and is applicable to scenarios where the different sites ha...
Srujana Merugu, Joydeep Ghosh
SIGMOD
2011
ACM
269views Database» more  SIGMOD 2011»
14 years 9 months ago
Advancing data clustering via projective clustering ensembles
Projective Clustering Ensembles (PCE) are a very recent advance in data clustering research which combines the two powerful tools of clustering ensembles and projective clustering...
Francesco Gullo, Carlotta Domeniconi, Andrea Tagar...
SIGMETRICS
2012
ACM
248views Hardware» more  SIGMETRICS 2012»
13 years 8 months ago
Pricing cloud bandwidth reservations under demand uncertainty
In a public cloud, bandwidth is traditionally priced in a pay-asyou-go model. Reflecting the recent trend of augmenting cloud computing with bandwidth guarantees, we consider a n...
Di Niu, Chen Feng, Baochun Li
PPSN
2010
Springer
15 years 4 months ago
Design and Comparison of two Evolutionary Approaches for Solving the Rubik's Cube
Solutions calculated by Evolutionary Algorithms have come to surpass exact methods for solving various problems. The Rubik’s Cube multiobjective optimization problem is one such ...
Nail El-Sourani, Markus Borschbach
EOR
2006
70views more  EOR 2006»
15 years 6 months ago
Heuristics for matrix bandwidth reduction
In this work, we provide two heuristic algorithms for the matrix bandwidth reduction problem. The first is a genetic algorithm and the second uses node label adjustments. Experime...
Andrew Lim, Brian Rodrigues, Fei Xiao