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ICML
2008
IEEE
16 years 7 months ago
Causal modelling combining instantaneous and lagged effects: an identifiable model based on non-Gaussianity
Causal analysis of continuous-valued variables typically uses either autoregressive models or linear Gaussian Bayesian networks with instantaneous effects. Estimation of Gaussian ...
Aapo Hyvärinen, Patrik O. Hoyer, Shohei Shimi...
171
Voted
AIIA
2007
Springer
16 years 1 months ago
Structured Hidden Markov Model: A General Framework for Modeling Complex Sequences
Structured Hidden Markov Model (S-HMM) is a variant of Hierarchical Hidden Markov Model that shows interesting capabilities of extracting knowledge from symbolic sequences. In fact...
Ugo Galassi, Attilio Giordana, Lorenza Saitta
AOSE
2004
Springer
16 years 7 days ago
AML: Agent Modeling Language Toward Industry-Grade Agent-Based Modeling
Abstract. The Agent Modeling Language (AML) is a semi-formal visual modeling language, specified as an extension to UML 2.0. It is a consistent set of modeling constructs designed...
Radovan Cervenka, Ivan Trencanský, Monique ...
ER
2006
Springer
87views Database» more  ER 2006»
15 years 10 months ago
Spatio-temporal and Multi-representation Modeling: A Contribution to Active Conceptual Modeling
Worldwide globalization increases the complexity of problem solving and decision-making, whatever the endeavor is. This calls for a more accurate and complete understanding of unde...
Stefano Spaccapietra, Christine Parent, Esteban Zi...
NIPS
2007
15 years 8 months ago
Catching Up Faster in Bayesian Model Selection and Model Averaging
Bayesian model averaging, model selection and their approximations such as BIC are generally statistically consistent, but sometimes achieve slower rates of convergence than other...
Tim van Erven, Peter Grunwald, Steven de Rooij