Abstract: This paper presents a data model for cyclic geographic events useful for nextgeneration geographic information system design. The paper introduces a structure that captur...
We show how quantified constraints expressed in a sub-language of first-order logic, againstashareddatamodelthatisfreetoevolve, provideanexcellentwayof transporting domain-specific...
Kit-ying Hui, Peter M. D. Gray, Graham J. L. Kemp,...
Abstract. Sigmoidal or radial transfer functions do not guarantee the best generalization nor fast learning of neural networks. Families of parameterized transfer functions provide...
We describe a framework that helps students learn from examples by generating example problem solutions whose level of detail is tailored to the students' domain knowledge. T...
The task of causal structure discovery from empirical data is a fundamental problem in many areas. Experimental data is crucial for accomplishing this task. However, experiments a...