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American Men and Women in Medicine, Applied Sciences and Engineering with Roots in Czechoslovakia
No comprehensive study has been undertaken about the American learned men and women with Czechoslovak roots. The aim of this work is to correct this glaring deficiency, with the focus on men and women in medicine, applied sciences and engineering. It covers immigration from the period of mass migration and beyond, irrespective whether they were born in their European ancestral homes or whether they have descended from them. This compendium clearly demonstrates the Czech and Slovak immigrants, including Bohemian Jews, have brought to the New World, in these areas, their talents, their ingenuity, the technical skills, their scientific knowhow, as well as their humanistic and spiritual upbringi...
Advances in Artificial Intelligence
This book constitutes the refereed proceedings of the 17th Conference of the Canadian Society for Computational Studies of Intelligence, Canadian AI 2004, held in London, Ontario, Canada in May 2004. The 29 revised full papers and 22 revised short papers were carefully reviewed and selected from 105 submissions. These papers are presented together with the extended abstracts of 14 contributions to the graduate students' track. The full papers are organized in topical sections on agents, natural language processing, learning, constraint satisfaction and search, knowledge representation and reasoning, uncertainty, and neural networks.
Machine Learning for Imbalanced Data
Take your machine learning expertise to the next level with this essential guide, utilizing libraries like imbalanced-learn, PyTorch, scikit-learn, pandas, and NumPy to maximize model performance and tackle imbalanced data Key Features Understand how to use modern machine learning frameworks with detailed explanations, illustrations, and code samples Learn cutting-edge deep learning techniques to overcome data imbalance Explore different methods for dealing with skewed data in ML and DL applications Purchase of the print or Kindle book includes a free eBook in the PDF format Book DescriptionAs machine learning practitioners, we often encounter imbalanced datasets in which one class has consi...
J.UCS The Journal of Universal Computer Science
J.UCS is the electronic journal that covers all areas of computer science. The high quality of all accepted papers is ensured by a strict review process and an international editorial board of distinguished computer scientists. The online journal J.UCS is a prototype for modern electronic publishing. Distributed via the Internet, it supports all the search and navigation tools of advanced online systems. This first annual print and CD-ROM archive edition contains all articles published online in J.UCS during 1995. It allows easy and durable access without logging onto the Internet. Uniform citation of papers is guaranteed by identical page numbering and layout of all versions. J.UCS is based on HyperWave (formerly Hyper-G), a networked hypermedia information system compatible with other systems.
Advances in Software Engineering
This book contains both relevant real-world research, as well as reviews of different areas of interest in the software engineering literature, such as clone identification. The contents of the various sections will provide a better understanding of known problems and detailed treatment of advanced topics. Consequently, the book consolidates the work and findings from leading researchers in the software research community in key areas such as maintainability, architectural recovery, code analysis, software migration, and tool support.
Imbalanced Classification with Python
Imbalanced classification are those classification tasks where the distribution of examples across the classes is not equal. Cut through the equations, Greek letters, and confusion, and discover the specialized techniques data preparation techniques, learning algorithms, and performance metrics that you need to know. Using clear explanations, standard Python libraries, and step-by-step tutorial lessons, you will discover how to confidently develop robust models for your own imbalanced classification projects.
Computer Science in Perspective
By presenting state-of-the-art aspects of theoretical computer science and practical applications in various fields, this book commemorates the 60th birthday of Thomas Ottmann. The 26 research papers presented span the whole range of Thomas Ottmann's scientific career, from formal languages to algorithms and data structures, from topics in practical computer science like software engineering or database systems to applications of Web technology, groupware, and e-learning.
Cooperative Systems Design
Cooperative systems design requires a deep understanding of the cooperative work of groups and organizations. The papers included in this book draw from an empirical background including studies in healthcare, homecare, software-development, architectural design, marine insurance industry and learning in university settings.
Artificial Intelligence Technologies for Computational Biology
This text emphasizes the importance of artificial intelligence techniques in the field of biological computation. It also discusses fundamental principles that can be applied beyond bio-inspired computing. It comprehensively covers important topics including data integration, data mining, machine learning, genetic algorithms, evolutionary computation, evolved neural networks, nature-inspired algorithms, and protein structure alignment. The text covers the application of evolutionary computations for fractal visualization of sequence data, artificial intelligence, and automatic image interpretation in modern biological systems. The text is primarily written for graduate students and academic ...
Object-Oriented Technology. ECOOP'99 Workshop Reader
ECOOP'99 Workshops, Panels, and Posters Lisbon, Portugal, June 14-18, 1999 Proceedings
