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Deep Learning for Medical Decision Support Systems
This book explores various applications of deep learning-oriented diagnosis leading to decision support, while also outlining the future face of medical decision support systems. Artificial intelligence has now become a ubiquitous aspect of modern life, and especially machine learning enjoysgreat popularity, since it offers techniques that are capable of learning from samples to solve newly encountered cases. Today, a recent form of machine learning, deep learning, is being widely used with large, complex quantities of data, because today’s problems require detailed analyses of more data. This is critical, especially in fields such as medicine. Accordingly, the objective of this book is to provide the essentials of and highlight recent applications of deep learning architectures for medical decision support systems. The target audience includes scientists, experts, MSc and PhD students, postdocs, and any readers interested in the subjectsdiscussed. The book canbe used as a reference work to support courses on artificial intelligence, machine/deep learning, medical and biomedicaleducation.
Norsk-engelsk ordbog
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Applied Stochastic Modelling
Highlighting modern computational methods, Applied Stochastic Modelling, Second Edition provides students with the practical experience of scientific computing in applied statistics through a range of interesting real-world applications. It also successfully revises standard probability and statistical theory. Along with an updated bibliography and
Serbocroatian-English Dictionary
This book is a volume in the Penn Press Anniversary Collection. To mark its 125th anniversary in 2015, the University of Pennsylvania Press rereleased more than 1,100 titles from Penn Press's distinguished backlist from 1899-1999 that had fallen out of print. Spanning an entire century, the Anniversary Collection offers peer-reviewed scholarship in a wide range of subject areas.
Science in Primary Schools: The Multicultural Dimension
Designed to help primary school teachers build a multicultural dimension into their teaching of science, this book provides a wide variety of practical ideas for use in both multi-ethnic and all-white classrooms. The contributors also examine the underlying rationale for a multicultural approach to science education.
Neuroethology of the Colonial Mind: Ecological and Evolutionary Context of Social Brains
Animal groups often display striking collective organization, which relies on social interactions. These interactions require neural substrates supporting the exchange of information among individuals and the processing of this information. The social brain hypothesis, suggested from neuroanatomical findings in primates, posits that increasing levels of sociality involve a higher investment in neural tissue to cope with social information. However, distributed cognition and swarm intelligence might alleviate the cognitive load on the individuals, and potentially reduce their neural requirements. Research on social insects, which are an exemplar of collective action, has so far produced mixed...
A Course in Mathematical and Statistical Ecology
A Course in Mathematical and Statistical Ecology
