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An introductory artificial intelligence course may represent the first subject exposure for many students. Prior to taking this course, students may have formed perceptions regarding the difficulty of artificial intelligence from books, television, movies and other media featuring extrapolations of the technology. This paper analyzes what effects student perceptions of their ability to succeed in...
Average mutual information (AMI) has been applied to many fields, including various aspects of bioinformatics. In this paper, we evaluate its performance as a measure of evolutionary distance between sequences. We use the internal transcribed spacer (ITS) regions for 16 fungal sequences as representative sequences used for species comparison. We generate profiles based on the AMI for each species'...
Seizures affect a significant portion of the world's population and while a small proportion of the seizures are easy to detect, the vast majority are subtle enough to require the expertise of a neurologist. In this paper, we present a multifaceted computational approach to detecting the presence and locality of a seizure using Electroencephalography (EEG) signals. We test the proposed approach using...
Sparse representation based classification (SRC) has been introduced as a new algorithm for face recognition classification instead of the classical gradient-based algorithms. However, there are some limitations that influence the robustness properties in SRC. One of the most effective parameters that impacts the SRC performance is the directory of training samples. It should contain enough samples...
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