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Apple Confidential 2.0
Chronicles the best and the worst of Apple Computer's remarkable story.
A Holistic, Decision-Theoretic Framework for Pool-Based Active Learning
Efficient labeling is an important topic in machine learning research as classifiers need labeled data. Whereas unlabeled data is easily gathered, labeling is exhausting, time-consuming, or expensive and should, therefore, be reduced to a minimum. Active learning aims to actively select useful, unlabeled instances for label acquisition to reduce the labeling effort while providing labeled training data such that the classifier performs well. This thesis proposes Probabilistic Active Learning, a holistic, decision-theoretic framework for active learning that enables optimization for every performance measure and classifier. Using the holistic mathematical description, we can define an upper b...
Steve Jobs
Based on more than 40 interviews with Steve Jobs conducted over two years - - as well as interviews with more than 100 family members, friends, adversaries, competitors and colleagues - - the author offers a fascinating look at the co-founder and leading creative force behind the Apple computer company.
The Ancient Alien Theory: Part Nine
The Ancient Alien Theory: Part Nine and ancientalienpedia.com are both a written and online resource. The written guide serves as an opportunity to log out, shut down, and unplug from the online world. The online guide serves as a gateway to the Ancient Alien Theory, with links to online sources, books, and authors. Just as Bill Birnes' created The UFO Magazine Encyclopedia to provide a comprehensive guide to UFOs and extraterrestrial contact, AncientAlienPedia is providing a database to the Ancient Alien Theory. This all-inclusive guidebook saves readers countless of hours of searching for this information which is scattered across hundreds of websites and books. The AncientAlienPedia will prove to be an essential reference for the highly controversial Ancient Alien Theory.
Steve Jobs The Man Who Thought Different
"An unauthorized/unofficial biography"--T.p. verso.
THE GEAR WHEELS THAT DRIVE ALL RELATIONSHIPS
The Gear Wheels That Drive All Relationships “The Gear Wheels that drive all our relationships” by Naresh Gathani is a book on the evolutionary cycles of all relationships. The evolution of our relationships is very structured and the book simplifies all my original concepts that I have introduced for the first time . Relationships define our existence . Some relationships are with human beings , other relationships are with animals , pets and nature. There are partly in-animate relationships with our careers , our wealth , our hobbies , our cars etc . But all relationships are driven by the same eleven gear wheels . The outcome and benefits of these relationships depend on our understan...
Advances in Intelligent Data Analysis XVIII
This open access book constitutes the proceedings of the 18th International Conference on Intelligent Data Analysis, IDA 2020, held in Konstanz, Germany, in April 2020. The 45 full papers presented in this volume were carefully reviewed and selected from 114 submissions. Advancing Intelligent Data Analysis requires novel, potentially game-changing ideas. IDA’s mission is to promote ideas over performance: a solid motivation can be as convincing as exhaustive empirical evaluation.
ECAI 2014
The role of artificial intelligence (AI) applications in fields as diverse as medicine, economics, linguistics, logical analysis and industry continues to grow in scope and importance. AI has become integral to the effective functioning of much of the technical infrastructure we all now take for granted as part of our daily lives. This book presents the papers from the 21st biennial European Conference on Artificial Intelligence, ECAI 2014, held in Prague, Czech Republic, in August 2014. The ECAI conference remains Europe's principal opportunity for researchers and practitioners of Artificial Intelligence to gather and to discuss the latest trends and challenges in all subfields of AI, as we...
Organic Computing
This book presents the results of the OC-DDC 2017. Successful participants have been invited to extend their abstracts submitted to the event towards a full book chapter by taking reviews and feedback received at the event in Bochum into account. Seven of the participants prepared a contribution to this book, helped to perform a sophisticated review process, and finally came up with interesting articles summarising their current work in the context of Organic Computing. Hence, the book also gives an overview of corresponding research activities in the field in Germany for the year 2017. The collection of contributions reflects the diversity of the different aspects of Organic Computing. Furthermore, group discussions during the OC-DDC resulted in a contribution that aggregates the ideas of the participants related to applied machine learning for Organic Computing systems.Keine Angaben
