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DATAMINE
2010
175views more  DATAMINE 2010»
15 years 6 months ago
Extracting influential nodes on a social network for information diffusion
We address the combinatorial optimization problem of finding the most influential nodes on a large-scale social network for two widely-used fundamental stochastic diffusion models...
Masahiro Kimura, Kazumi Saito, Ryohei Nakano, Hiro...
INFFUS
2006
103views more  INFFUS 2006»
15 years 6 months ago
Information fusion approaches to the automatic pronunciation of print by analogy
Automatic pronunciation of words from their spelling alone is a hard computational problem, especially for languages like English and French where there is only a partially consis...
Robert I. Damper, Yannick Marchand
TFS
2011
264views Education» more  TFS 2011»
15 years 1 months ago
Information Granularity in Fuzzy Binary GrC Model
—Zadeh’s seminal work in theory of fuzzy-information3 granulation in human reasoning is inspired by the ways in which4 humans granulate information and reason with it. This has...
Yuhua Qian, Jiye Liang, W.-z. Z. Wu, Chuangyin Dan...
ELECTRONICMARKETS
2010
124views more  ELECTRONICMARKETS 2010»
15 years 4 months ago
The difficulty of studying inter-organisational IS phenomena on large scales: critical reflections on a research journey
We argue that certain theoretical commitments that underpin much existing Interorganisational Information Systems (IOIS) research at small scales become untenable when IOIS are st...
Kai Reimers, Robert B. Johnston, Stefan Klein
ATAL
2011
Springer
14 years 6 months ago
Maximum causal entropy correlated equilibria for Markov games
Motivated by a machine learning perspective—that gametheoretic equilibria constraints should serve as guidelines for predicting agents’ strategies, we introduce maximum causal...
Brian D. Ziebart, J. Andrew Bagnell, Anind K. Dey