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1. |
Record Nr. |
UNINA9910813133503321 |
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Autore |
Wortabet John <1827-1908, > |
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Titolo |
Arabian wisdom / / John Wortabet |
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Pubbl/distr/stampa |
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Piscataway, New Jersey : , : Gorgias Press, , 2010 |
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©1916 |
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ISBN |
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Descrizione fisica |
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1 online resource (73 pages) |
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Collana |
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Analecta Gorgiana ; ; 195 |
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Disciplina |
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Soggetti |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Frontmatter -- CONTENTS -- INTRODUCTION -- THE FIRST CHAPTER OF THE KORAN -- REPENTANCE -- A SINNER'S CRY UNTO GOD -- FORGIVING OTHERS -- FORBEARANCE -- HUMILITY -- TRUE NOBILITY -- SELF-RESPECT -- CHARACTER -- BENEVOLENCE -- GENEROSITY -- GRATITUDE -- RECOMPENSE -- FLAUNTING KINDNESS -- KNOWLEDGE -- SPECULATIVE STUDIES -- THOUGHTS, DOUBTS -- WISDOM -- IGNORANCE, FOLLY -- CONSULTATION -- SPEAKING, WRITING, BOOKS -- SILENCE -- TRUTHFULNESS -- TRUTHFULNESS TO PROMISES -- TRUTHFULNESS TO SECRETS -- DECEIT -- EXERTION -- OPPORTUNITIES -- ECONOMY -- VICISSITUDES OF FORTUNE -- PATIENCE -- CONTENTMENT -- CHEERFULNESS -- WAR -- ANGER -- HATRED, MALICE -- MURDER -- ENVY -- RASHNESS -- LAZINESS -- AVARICE -- COMPLAINT, BLAME -- MARRIAGE -- CHILDREN -- FILIAL DUTY -- BROTHERS -- FRIENDS -- NEIGHBOURS -- SALUTATION -- LOVE OF COUNTRY AND HOME -- TRAVELLING -- HEALTH -- YOUTH AND OLD AGE -- DEATH -- APPENDIX |
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Sommario/riassunto |
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Having lived for many years in Beirut, John Wortabet grew to know much about the Islamic world. Recognizing the wisdom and integrity of the people and religion of what was then known as Syria, Wortabet set about to preserve the essentials of Arabic wisdom in this little book. The wisdom saying, a literary form of ancient pedigree in this part of the world, is generally a brief but pointed statement of a truth distilled from careful observation. Wortabet here presents these saying arranged |
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according to topic, with the goal of facilitating understanding between the wider world and those who live in what has become a very unsettled region. |
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2. |
Record Nr. |
UNINA9910300533803321 |
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Autore |
Schuld Maria |
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Titolo |
Supervised Learning with Quantum Computers / / by Maria Schuld, Francesco Petruccione |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
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ISBN |
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Edizione |
[1st ed. 2018.] |
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Descrizione fisica |
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1 online resource (293 pages) |
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Collana |
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Quantum Science and Technology, , 2364-9062 |
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Disciplina |
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Soggetti |
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Quantum physics |
Quantum computers |
Pattern recognition systems |
Spintronics |
Mathematical physics |
Artificial intelligence |
Quantum Physics |
Quantum Computing |
Automated Pattern Recognition |
Theoretical, Mathematical and Computational Physics |
Artificial Intelligence |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Introduction -- Background -- How quantum computers can classify data -- Organisation of the book -- Machine Learning -- Prediction -- Models -- Training -- Methods in machine learning -- Quantum Information -- Introduction to quantum theory -- Introduction to quantum computing -- An example: The Deutsch-Josza algorithm -- Strategies of information encoding -- Important quantum routines -- Quantum advantages -- Computational complexity of learning -- |
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Sample complexity -- Model complexity -- Information encoding -- Basis encoding -- Amplitude encoding -- Qsample encoding -- Hamiltonian encoding -- Quantum computing for inference -- Linear models -- Kernel methods -- Probabilistic models -- Quantum computing for training -- Quantum blas -- Search and amplitude amplification -- Hybrid training for variational algorithms -- Quantum adiabatic machine learning -- Learning with quantum models -- Quantum extensions of Ising-type models -- Variational classifiers and neural networks -- Other approaches to buildquantum models -- Prospects for near-term quantum machine learning -- Small versus big data -- Hybrid versus fully coherent approaches -- Qualitative versus quantitative advantages -- What machine learning can do for quantum computing -- References. |
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Sommario/riassunto |
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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. |
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