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96
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NIPS
2008
14 years 11 months ago
Non-stationary dynamic Bayesian networks
Abstract: Structure learning of dynamic Bayesian networks provide a principled mechanism for identifying conditional dependencies in time-series data. This learning procedure assum...
Joshua W. Robinson, Alexander J. Hartemink
WINE
2010
Springer
201views Economy» more  WINE 2010»
14 years 7 months ago
Efficient Computation of the Shapley Value for Centrality in Networks
The Shapley Value is arguably the most important normative solution concept in coalitional games. One of its applications is in the domain of networks, where the Shapley Value is u...
Karthik V. Aadithya, Balaraman Ravindran, Tomasz P...
GECCO
2010
Springer
254views Optimization» more  GECCO 2010»
15 years 2 months ago
Evolving viral marketing strategies
One method of viral marketing involves seeding certain consumers within a population to encourage faster adoption of the product throughout the entire population. However, determi...
Forrest Stonedahl, William Rand, Uri Wilensky
77
Voted
KDD
2009
ACM
179views Data Mining» more  KDD 2009»
15 years 4 months ago
Identifying graphs from noisy and incomplete data
There is a growing wealth of data describing networks of various types, including social networks, physical networks such as transportation or communication networks, and biologic...
Galileo Mark S. Namata Jr., Lise Getoor
SIGECOM
2005
ACM
106views ECommerce» more  SIGECOM 2005»
15 years 3 months ago
On decentralized incentive compatible mechanisms
Algorithmic Mechanism Design focuses on Dominant Strategy Implementations. The main positive results are the celebrated Vickrey-Clarke-Groves (VCG) mechanisms and computationally ...
Ahuva Mu'alem