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Blindfold of Justice
In the late forties and early fifties, Beverly Hills was a small, conservative community with safe, tree lined streets, and was famous for movie stars and one lawyer - the fabled Jerry Geisler. This book is a fictionalized, but authentic, inside view of the workings of his office, and his world, seen through the eyes of his associate counsel. Everything is there, including allies and adversaries in the L.A.P.D., the Press, and the L.A. County District Attorneys office. In those days, criminal cases were defended on the merits, not by invoking intellectually dishonest technicalities concerning police procedure. It was an honest, rockem, sockem, intellectual battle, and may the smartest, or lu...
Newsweek
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Advances in Neural Information Processing Systems 13
The proceedings of the 2000 Neural Information Processing Systems (NIPS) Conference.The annual conference on Neural Information Processing Systems (NIPS) is the flagship conference on neural computation. The conference is interdisciplinary, with contributions in algorithms, learning theory, cognitive science, neuroscience, vision, speech and signal processing, reinforcement learning and control, implementations, and diverse applications. Only about 30 percent of the papers submitted are accepted for presentation at NIPS, so the quality is exceptionally high. These proceedings contain all of the papers that were presented at the 2000 conference.
Veja e leia
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Semana confidencial
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Analysis of Multivariate and High-Dimensional Data
This modern approach integrates classical and contemporary methods, fusing theory and practice and bridging the gap to statistical learning.
Supervised Learning with Quantum Computers
Quantum machine learning investigates how quantum computers can be used for data-driven prediction and decision making. The books summarises and conceptualises ideas of this relatively young discipline for an audience of computer scientists and physicists from a graduate level upwards. It aims at providing a starting point for those new to the field, showcasing a toy example of a quantum machine learning algorithm and providing a detailed introduction of the two parent disciplines. For more advanced readers, the book discusses topics such as data encoding into quantum states, quantum algorithms and routines for inference and optimisation, as well as the construction and analysis of genuine ``quantum learning models''. A special focus lies on supervised learning, and applications for near-term quantum devices.
Wireless Device-to-Device Communications and Networks
Enables engineers and researchers to understand the fundamentals and applications of device-to-device communications and its optimization in wireless networking.
Odd Woman Out
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Introduction to the Theory of Computation
"Intended as an upper-level undergraduate or introductory graduate text in computer science theory," this book lucidly covers the key concepts and theorems of the theory of computation. The presentation is remarkably clear; for example, the "proof idea," which offers the reader an intuitive feel for how the proof was constructed, accompanies many of the theorems and a proof. Introduction to the Theory of Computation covers the usual topics for this type of text plus it features a solid section on complexity theory--including an entire chapter on space complexity. The final chapter introduces more advanced topics, such as the discussion of complexity classes associated with probabilistic algorithms.
