Search
Now showing items 1-10 of 33
Point allocation inside polygons and GWR: an experimental analysis with survey data
The aim of this paper is to analyse different alternative implementations for a problem defined as "point allocation inside polygons" for Geographically Weighted Regression (GWR). The problem involves situations where the ...
An empirical investigation of the Maslov limit order market model
Modeling of financial market data for detecting important market characteristics as well as their abnormalities plays a key role in identifying their behavior. Researchers have proposed different types of techniques to ...
Spatial location of genes within cells in gene interaction networks
Text mining techniques have become a popular method for discovering relationships between genes based on searching the biomedical literature. The co-occurrence of gene names within individual documents is used to produce ...
Generic vector-agents
The work reported here has been motivated by the need for a generic spatial model to overcome the limitations of Cellular Automata (CA) regarding the rigid square-cell structure and limited neighbourhood configurations. A ...
Genetic tradeoff as a model for parapatric speciation
This paper uses an individual-based modelling approach to explore the effects of genetic tradeoff across a spatial gradient. Tradeoff is represented by the ability of an individual to live at higher environmental values - ...
Discovering population structures with extreme fixation rates via evolutionary search
Genetic drift is a well known and important force in directing the evolution of a population. The nature of genetic drift in panmictic populations is well understood, and new research is shedding light on the behaviour of ...
The use of boundary conditions for inductive models
There is a large amount of interest in creating models from data using a variety of machine learning methods. Most of these approaches require a good distribution of observed values to produce reliable models. The use of ...
Time-line hidden Markov experts and its application in time series prediction
A modularised connectionist model, based on the Mixture of Experts (ME) algorithm for time series prediction, is introduced. A set of connectionist modules learn to be local experts over some commonly appearing states of ...
A vector-agent paradigm for dynamic urban modelling
In the past, researchers and model developers were restricted by their theoretical knowledge about the city and how it might be simulated as well as constrained by technological limitations. Nevertheless, the simulation ...
Irregular vector-agent based simulation for land-use modelling
Urban structures exhibit complex patterns made of heterogeneous and irregular objects. Few works in the computational urban modelling literature have considered and examined the real geometric boundary of the city’s objects. ...