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AAAI
2000
15 years 1 months ago
Multivariate Clustering by Dynamics
We present a Bayesian clustering algorithm for multivariate time series. A clustering is regarded as a probabilistic model in which the unknown auto-correlation structure of a tim...
Marco Ramoni, Paola Sebastiani, Paul R. Cohen
IRMA
2000
15 years 1 months ago
EMC - A modeling method for developing web-based applications
Early information systems were mainly built around secondary, administrative processes of the value chain (e.g. accounting). But since the internet came into use, more and more pr...
Peter Rittgen
ECAI
2010
Springer
15 years 29 days ago
Acquisition of Grammar in Autonomous Artificial Systems
Over the past several decades, psycholinguists have gained countless insights into the process of child language acquisition. Can these findings be used for the development of lang...
Kateryna Gerasymova, Michael Spranger
ARSCOM
2007
115views more  ARSCOM 2007»
15 years 4 hour ago
Minimal Universal Bipartite Graphs
A graph U is (induced)-universal for a class of graphs X if every member of X is contained in U as an induced subgraph. We study the problem of finding a universal graph with min...
Vadim V. Lozin, Gábor Rudolf
IJBRA
2006
107views more  IJBRA 2006»
14 years 12 months ago
Probabilistic models for biological sequences: selection and Maximum Likelihood estimation
: Probabilistic models for biological sequences (DNA and proteins) are frequently used in bioinformatics. We describe statistical tests designed to detect the order of dependency a...
Svetlana Ekisheva, Mark Borodovsky