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CL
2000
Springer
14 years 3 months ago
Logic, Knowledge Representation, and Bayesian Decision Theory
In this paper I give a brief overview of recent work on uncertainty inAI, and relate it to logical representations. Bayesian decision theory and logic are both normative frameworks...
David Poole
IANDC
2008
84views more  IANDC 2008»
13 years 11 months ago
A theory of system behaviour in the presence of node and link failure
We develop a behavioural theory of distributed programs in the presence of failures such as nodes crashing and links breaking. The framework we use is that of D, a language in whi...
Adrian Francalanza, Matthew Hennessy
MISQ
2002
111views more  MISQ 2002»
13 years 10 months ago
A Design Theory for Systems That Support Emergent Knowledge Processes
This paper addresses the design problem of providing IT support for emerging knowledge processes (EKPs). EKPs are organizational activity patterns that exhibit three characteristi...
M. Lynne Markus, Ann Majchrzak, Les Gasser
NECO
2007
108views more  NECO 2007»
13 years 10 months ago
Spike-Frequency Adapting Neural Ensembles: Beyond Mean Adaptation and Renewal Theories
We propose a Markov process model for spike-frequency adapting neural ensembles which synthesizes existing mean-adaptation approaches, population density methods, and inhomogeneou...
Eilif Mueller, Lars Buesing, Johannes Schemmel, Ka...

Book
2911views
15 years 10 months ago
Shape Analysis and Classification: Theory and Practice
"Advances in shape analysis impact a wide range of disciplines, from mathematics and engineering to medicine, archeology, and art. Anyone just entering the field, however, may...
Roberto M. Cesar Jr