Bias/variance analysis is a useful tool for investigating the performance of machine learning algorithms. Conventional analysis decomposes loss into errors due to aspects of the le...
A toolkit for distributed hydrologic modeling at multiple scales using two independent models within a geographic information system is presented. This open-source, freely availab...
Scott N. Miller, Darius J. Semmens, David C. Goodr...
: Lately, wireless networks have gained acceptance for home networking. Low cost installation, flexibility and no fixed infrastructures have made it possible home environments rapi...
This paper presents a knowledge-intensive support paradigm for platform-based product family design and development. The fundamental issues underlying the product family design an...
The problem of content based image retrieval (CBIR) has traditionally been investigated within a framework that emphasises the explicit formulation of a query: users initiate an au...