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On Bias-Variance Analysis for Probabilistic Logic Models

On Bias-Variance Analysis for Probabilistic Logic Models

Huma Lodhi
Copyright: © 2010 |Pages: 12
ISBN13: 9781605669663|ISBN10: 1605669660|ISBN13 Softcover: 9781616924072|EISBN13: 9781605669670
DOI: 10.4018/978-1-60566-966-3.ch018
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MLA

Lodhi, Huma. "On Bias-Variance Analysis for Probabilistic Logic Models." Breakthrough Discoveries in Information Technology Research: Advancing Trends, edited by Mehdi Khosrow-Pour, D.B.A., IGI Global, 2010, pp. 225-236. https://doi.org/10.4018/978-1-60566-966-3.ch018

APA

Lodhi, H. (2010). On Bias-Variance Analysis for Probabilistic Logic Models. In M. Khosrow-Pour, D.B.A. (Ed.), Breakthrough Discoveries in Information Technology Research: Advancing Trends (pp. 225-236). IGI Global. https://doi.org/10.4018/978-1-60566-966-3.ch018

Chicago

Lodhi, Huma. "On Bias-Variance Analysis for Probabilistic Logic Models." In Breakthrough Discoveries in Information Technology Research: Advancing Trends, edited by Mehdi Khosrow-Pour, D.B.A., 225-236. Hershey, PA: IGI Global, 2010. https://doi.org/10.4018/978-1-60566-966-3.ch018

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Abstract

Deliberate exploitation of natural resources and excessive use of environmentally abhorrent materials have resulted in environmental disruptions threatening the life support systems. A human centric approach of development has already damaged nature to a large extent. This has attracted the attention of environmental specialists and policy makers. It has also led to discussions at various national and international conventions. The objective of protecting natural resources cannot be achieved without the involvement of professionals from multidisciplinary areas. This chapter recommends a model for the creation of knowledge-based systems for natural resources management. Further, it describes making use of unique capabilities of remote sensing satellites for conserving natural resources and managing natural disasters. It is exclusively for the people who are not familiar with the technology and who are given the task of framing policies.

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