ECCS10 SM9 - Graphical models for reasoning on biological systems: computational challenges
Approximate Bayesian Computation (ABC) to Learn the Structure and Dynamics of Complex Systems
Properties of variational estimates of a mixture model for random graphs
Extended Bayesian scores for reconstructing gene regulatory networks
A Graphical Method for Reducing and Relating Models in Systems Biology
Ecological applications of spatial point process theory - examples of spatial complexity
Solving adaptive sampling problems in graphical models using Markov Decision Processes
Spatiotemporal Modeling of a Spread of Apple Scab
Collections in the Database:
ECCS10 SM1 - Emergence, Path dependence and Transitions in Geographical Space
ECCS10 SM10 - Policy making in complex adaptive systems
ECCS10 SM5 - Young Researchers Session
ECCS10 SM6 - COSI-ICT: science of COmplex Systems for socially Intelligent ICT
ECCS10 SM7 - Dynamics on and of Complex Networks IV
ECCS10 SM9 - Graphical models for reasoning on biological systems: computational challenges
ECCS10 Track A - Policy, Planning and Infrastructure
ECCS10 Track B1 - Philosophy of Science
ECCS10 Track B2 - Collective Human Behaviour and Society
ECCS10 Track C - Interacting Populations and Environment
ECCS10 Track D - Complexity and Computer Science
ECCS10 Track E - From Molecules to Living Systems
