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ICDM
2010
IEEE
273views Data Mining» more  ICDM 2010»
15 years 1 months ago
Learning Maximum Lag for Grouped Graphical Granger Models
Temporal causal modeling has been a highly active research area in the last few decades. Temporal or time series data arises in a wide array of application domains ranging from med...
Amit Dhurandhar
BMCBI
2010
229views more  BMCBI 2010»
15 years 3 months ago
Mocapy++ - A toolkit for inference and learning in dynamic Bayesian networks
Background: Mocapy++ is a toolkit for parameter learning and inference in dynamic Bayesian networks (DBNs). It supports a wide range of DBN architectures and probability distribut...
Martin Paluszewski, Thomas Hamelryck
JUCS
2008
119views more  JUCS 2008»
15 years 3 months ago
A Standards-based Modelling Approach for Dynamic Generation of Adaptive Learning Scenarios
: One of the key problems in developing standard based adaptive courses is the complexity involved in the design phase, especially when establishing the hooks for the dynamic model...
Jesus Boticario, Olga C. Santos
ISMDA
2004
Springer
15 years 8 months ago
Model Selection and Adaptation for Biochemical Pathways
In bioinformatics, biochemical signal pathways can be modeled by many differential equations. It is still an open problem how to fit the huge amount of parameters of the equations...
Rüdiger W. Brause
UIST
1993
ACM
15 years 7 months ago
VB2: An Architecture for Interaction in Synthetic Worlds
This paper describes the VB2 architecture for the construction of three-dimensional interactive applications. The system's state and behavior are uniformly represented as a n...
Enrico Gobbetti, Jean-Francis Balaguer, Daniel Tha...