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· Provides a holistic and practical guide to autonomous experimentation · Combines insights from theorists, machine-learning engineers and applied scientists to dispel common myths and misconceptions surrounding autonomous experimentation. · Incorporates practitioners’ first-hand experience
Private equity-backed leveraged buyout (LBO) and leveraged recapitalisation practices have been on the rise since the early 1970s when the LBO model was first invented. They continue to play a major role for investors for their less transparent and less bureaucratic investment models outside of capital markets, where financial regulations become tighter following the financial crisis of 2008 affecting global capital markets in a chain reaction. Private equity-backed LBOs and leveraged recapitalisations continue to be popular investment models, however they carry risks both at the target company level and on a macroeconomic level due to the interconnectedness of these investments with global ...
Portraying themselves as challenging blind religious dogma with evidence-led skepticism, the neo-atheist movement claims that the New Testament contains unreliable tales about a mythical figure who, far from being the resurrected Lord of life, may not even have lived. This comprehensive critique documents the falsehood of these neo-atheist claims, correcting their historical and philosophical mistakes to show how we can get at the truth about the historical Jesus.
This unique collection introduces AI, Machine Learning (ML), and deep neural network technologies leading to scientific discovery from the datasets generated both by supercomputer simulation and by modern experimental facilities.Huge quantities of experimental data come from many sources — telescopes, satellites, gene sequencers, accelerators, and electron microscopes, including international facilities such as the Large Hadron Collider (LHC) at CERN in Geneva and the ITER Tokamak in France. These sources generate many petabytes moving to exabytes of data per year. Extracting scientific insights from these data is a major challenge for scientists, for whom the latest AI developments will be essential.The timely handbook benefits professionals, researchers, academics, and students in all fields of science and engineering as well as AI, ML, and neural networks. Further, the vision evident in this book inspires all those who influence or are influenced by scientific progress.
This book constitutes the thoroughly refereed post-conference proceedings of the 5th International Workshop on Statistical Atlases and Computational Models of the Heart: Imaging and Modelling Challenges, STACOM 2014, held in conjunction with MICCAI 2014, in Boston, MA, USA, in September 2014. The 30 revised full papers were carefully reviewed and selected from numerous submissions. The papers cover a wide range of topics such as sections on cardiac image processing; atlas construction; statistical modelling of cardiac function across different patient populations; cardiac mapping; cardiac computational physiology; model customization; atlas based functional analysis; ontological schemata for data and results; integrated functional and structural analyses; as well as the pre-clinical and clinical applicability of these methods.
Sensor networks consist of sensors (e.g., radar and cameras) and processing units (e.g., estimators), where in the former information extraction occurs and in the latter estimates are formed. In decentralized estimation information extracted by sensors has been pre-processed at an intermediate processing unit prior to arriving at an estimator. Pre-processing of information allows for the complexity of large systems and systems-of-systems to be significantly reduced, and also makes the sensor network robust and flexible. One of the main disadvantages of pre-processing information is that information becomes correlated. These correlations, if not handled carefully, potentially lead to underest...
The most famous conspiracy of silence in the history of antiquity is examined here by one of the three archaeologists entrusted by the Archaeological Society of Athens with the final excavations of the Sanctuary. He traces the history of the cult in the archaeological remains, from the first traces of habitation at the site in the Middle Bronze Age (around 1900 B.C.) to its final grandeur and decay in Imperial Roman times. A guided tour of the Museum at Eleusis, illustrated with photographs of objects in the Museum, as well as air views, plans, and detailed photographs of the ruins closely correlated with the text, takes into account the needs of the visitor at the site as well as the reader...
When Annie Besant (1847–1933) wrote in her 1893 Autobiography that her life was 'much attacked and slandered' she was only 45 years old, and many more controversies were yet to come. In this book, Besant charts her dramatic political and ethical awakenings, up to the point where she joined the Theosophical movement. She describes how she was unhappily married to a clergyman, contemplated suicide, embraced atheism, and legally separated from her husband. She recounts how she became a prolific writer and public speaker, joined the National Secular Society, was involved in the highly controversial publication of a birth control leaflet, and engaged in activism for workers' rights and home rule for Ireland. She also reflects on her own ideology and spirituality. Besant did much to shock and challenge Victorian society, and this book vividly portrays her struggles and successes.
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