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Automated negotiations are an active research field for many years. In negotiations, participants’ characteristics play a crucial role to the final result. The most important characteristics are the deadline and the strategy of the entities. The deadline defines the time for which each entity will participate in the negotiation while the strategy defines the proposed prices at every round. In t...
This study's objective was to determine seasonal and diurnal vs. nocturnal home range size, as well as predation for free-ranging farm cats at a livestock unit in Northwest Georgia. Seven adult cats were tracked with attached GPS units for up to two weeks for one spring and two summer seasons from May 2010 through August 2011. Three and five cats were tracked for up to two weeks during the fall...
☆ We are grateful to the World Bank Research Com Foundation CAREER SES-0547898, and the Bill and Meli the Financial Access Initiative for funding this research. W Ghatak, and the referees, for their helpful comments. W Warwick, Karla Hoff, Kate Johnson, Jonathan Morduch BruceWydick, Dean Yang, and seminar and several confer ments on this project. We thank John Owens and the USA Access to Bankin...
The Motherhood Wage Penalty Revisited: Experience, Heterogeneity, Work Effort, and WorkSchedule Flexibility Author(s): Deborah J. Anderson, Melissa Binder, Kate Krause Source: Industrial and Labor Relations Review, Vol. 56, No. 2, (Jan., 2003), pp. 273-294 Published by: Cornell University, School of Industrial & Labor Relations Stable URL: http://www.jstor.org/stable/3590938 Accessed: 14/08...
Knowing the number, area, and frequency of landslides occurred in each area has a prominent role in the long-term evolution of area dominated by landslides and can be used for analyzing of susceptibility, hazard, and risk. In this regard, the current research is trying to consider identified landslides size probability in the Pivejan Watershed, Razavi Khorasan Province. In the first step, lands...
In this paper, we propose an automatic approach for plant image identification. We enhanced the well-known VGG 16-layers Convolutional Neural Network model [1] by replacing the last pooling layer with a Spatial Pyramid Pooling layer [2]. Rectified Linear Units (ReLU) are also replaced with Parametric ReLUs [3]. The enhanced model is trained without external dataset. A post processing method is ...
of the Thesis High Performance Kernel Smoothing Library For Biomedical Imaging by Haofu Liao Master of Science in Electrical and Computer Engineering Northeastern University, May 2015 Dr. Deniz Erdogmus, Adviser The estimation of probability density and probability density derivatives has full potential for applications. In biomedical imaging, the estimation of the first and second derivatives ...
There is neither a single clinical, microbiological, histopathological or genetic test, nor combinations of them, to discriminate aggressive periodontitis (AgP) from chronic periodontitis (CP) patients. We aimed to estimate probability density functions of clinical and immunologic datasets derived from periodontitis patients and construct artificial neural networks (ANNs) to correctly classify ...
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