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TNN
1998
100views more  TNN 1998»
15 years 6 months ago
A dynamical system perspective of structural learning with forgetting
—Structural learning with forgetting is an established method of using Laplace regularization to generate skeletal artificial neural networks. In this paper we develop a continu...
D. A. Miller, J. M. Zurada
CORR
2010
Springer
178views Education» more  CORR 2010»
15 years 5 months ago
Towards A Shape Analysis for Graph Transformation Systems
Graphs and graph transformation systems are a frequently used modelling technique for a wide range of different domains, covering areas as diverse as refactorings, network topolog...
Dominik Steenken, Heike Wehrheim, Daniel Wonisch
CORR
2010
Springer
228views Education» more  CORR 2010»
15 years 5 months ago
Sparse Inverse Covariance Selection via Alternating Linearization Methods
Gaussian graphical models are of great interest in statistical learning. Because the conditional independencies between different nodes correspond to zero entries in the inverse c...
Katya Scheinberg, Shiqian Ma, Donald Goldfarb
ITIIS
2010
150views more  ITIIS 2010»
15 years 5 months ago
Computational Trust and Its Impact over Rational Purchasing Decisions of Internet Users
As web-based online communities are rapidly growing, the agents in the communities need to know their measurable belief of trust for safe and successful interactions. In this pape...
Sanguk Noh
FORMATS
2010
Springer
15 years 4 months ago
A Framework for Verification of Software with Time and Probabilities
Abstract. Quantitative verification techniques are able to establish system properties such as "the probability of an airbag failing to deploy on demand" or "the exp...
Marta Z. Kwiatkowska, Gethin Norman, David Parker
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