Download Advances in Artificial Intelligence: 27th Canadian by Marina Sokolova, Peter van Beek PDF

By Marina Sokolova, Peter van Beek

This ebook constitutes the refereed complaints of the twenty seventh Canadian convention on synthetic Intelligence, Canadian AI 2014, held in Montréal, quality controls, Canada, in may perhaps 2014. The 22 commonplace papers and 18 brief papers awarded including three invited talks have been rigorously reviewed and chosen from ninety four submissions. The papers conceal various subject matters inside AI, similar to: agent structures; AI functions; automatic reasoning; bioinformatics and BioNLP; case-based reasoning; cognitive versions; constraint delight; information mining; E-commerce; evolutionary computation; video games; info retrieval; wisdom illustration; laptop studying; multi-media processing; traditional language processing; neural nets; making plans; privacy-preserving information mining; robotics; seek; shrewdpermanent images; uncertainty; person modeling; net applications.

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Read or Download Advances in Artificial Intelligence: 27th Canadian Conference on Artificial Intelligence, Canadian AI 2014, Montréal, QC, Canada, May 6-9, 2014. Proceedings PDF

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Extra resources for Advances in Artificial Intelligence: 27th Canadian Conference on Artificial Intelligence, Canadian AI 2014, Montréal, QC, Canada, May 6-9, 2014. Proceedings

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In [14], ten junior doctors with previous experience using the PHIS application at KAUH participated in a controlled experiment conducted in a simulated environment in a university lab, which was different from a real hospital environment. The connection to the network was a fast one, the environment was not crowded as in a hospital, and the doctors were not under the usual pressures of work. The results of that experiment support PHIS2-M for productivity and task efficiency, while for the remaining factor there is no significant difference between PHIS2-M and PHIS2-MA.

We also perform a detailed analysis of the key features in our model, and make some important observations about the scientific and non-scientific factors that most predict researcher influence. 1 Introduction This paper is concerned with understanding and quantifying researcher influence. We define influence as the capacity of a researcher to have an effect on another researcher’s opinions, ideas, experimental approach, or choice of research topics. Studying influence is important. Knowing about influential individuals can helps us understand how behaviours spread [1], and inform technology such as paper recommendation systems [2].

HYPA1: There is a significant difference between the user satisfaction of the participant using PHIS2-M and using PHIS2-MA, in terms of the median of each feature for mobile users, in the case where it is not the same for mobile adaptation users. 1 Objective Factor Results The objective factors of the new quality-in-use model provide measures of the effectiveness, productivity, task efficiency, safety, and task navigation relating to 45 doctors belonging to 3 user stereotypes performing 3 tasks on PHIS2-M and PHIS2-MA.

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