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ELECTRONICMARKETS
2010
124views more  ELECTRONICMARKETS 2010»
14 years 7 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
13 years 10 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
PKDD
2007
Springer
102views Data Mining» more  PKDD 2007»
15 years 4 months ago
Towards Data Mining Without Information on Knowledge Structure
Most knowledge discovery processes are biased since some part of the knowledge structure must be given before extraction. We propose a framework that avoids this bias by supporting...
Alexandre Vautier, Marie-Odile Cordier, Rene Quini...
CDC
2009
IEEE
117views Control Systems» more  CDC 2009»
15 years 2 months ago
Information dissemination in networks via linear iterative strategies over finite fields
— Given an arbitrary network of interconnected nodes, each with an initial value from a discrete set, we consider the problem of distributively disseminating these initial values...
Shreyas Sundaram, Christoforos N. Hadjicostis
95
Voted
JSSPP
1998
Springer
15 years 2 months ago
Predicting Application Run Times Using Historical Information
We present a technique for deriving predictions for the run times of parallel applications from the run times of "similar" applications that have executed in the past. T...
Warren Smith, Ian T. Foster, Valerie E. Taylor