Model term selection for spatio-temporal system identification using mutual information
نویسندگان
چکیده
منابع مشابه
Model term selection for spatio-temporal system identification using mutual information
A new mutual information based algorithm is introduced for term selection in spatio-temporal models. A generalised cross validation procedure is also introduced for model length determination and examples based on cellular automata, coupled map lattice and partial differential equations are described.
متن کاملSpatio-Temporal Graphical Model Selection
We consider the problem of estimating the topology of spatial interactions in a discrete state, discrete time spatio-temporal graphical model where the interactions affect the temporal evolution of each agent in a network. Among other models, the susceptible, infected, recovered (SIR) model for interaction events fall into this framework. We pose the problem as a structure learning problem and ...
متن کاملModel identification in interactive influence diagrams using mutual information
Interactive influence diagrams (I-IDs) offer a transparent and intuitive representation for the decision-making problem in multiagent settings. They ascribe procedural models such as influence diagrams and I-IDs to model the behavior of other agents. Procedural models offer the benefit of understanding how others arrive at their behaviors. Accurate behavioral models of others facilitate optimal...
متن کاملTowards a Model for Spatio-Temporal Schema Selection
Schema versioning provides a mechanism for handling change in the structure of database systems and has been investigated widely, both in the context of static and temporal databases. With the growing interest in spatial and spatio-temporal data as well as the mechanisms for holding such data, the spatial context within which data is formatted also becomes an issue. This paper presents a genera...
متن کاملRecognition of Visual Events using Spatio-Temporal Information of the Video Signal
Recognition of visual events as a video analysis task has become popular in machine learning community. While the traditional approaches for detection of video events have been used for a long time, the recently evolved deep learning based methods have revolutionized this area. They have enabled event recognition systems to achieve detection rates which were not reachable by traditional approac...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Systems Science
سال: 2013
ISSN: 0020-7721,1464-5319
DOI: 10.1080/00207721.2011.600468