Welcome to our book review site go-pdf.online!
You may have to Search all our reviewed books and magazines, click the sign up button below to create a free account.
Mixture Density Networks for Distribution and Uncertainty Estimation
The deep learning techniques have made neural networks the leading option for solving some computational problems and it has been shown the production of the state-of-the-art results in many fields like computer vision, automatic speech recognition, natural language processing, and audio recognition. In fact, we may be tempted to make use of neural networks directly, as we know them nowadays, in order to make predictions and solve many problems, but if the decision that has to be taken is of high risk. For instance, we could have a problem regarding the control of a nuclear power plant or the prediction of the shares evolution in the market; in this case, it would be important to look for me...
Probabilistic Parametric Curves for Sequence Modeling
This work proposes a probabilistic extension to Bézier curves as a basis for effectively modeling stochastic processes with a bounded index set. The proposed stochastic process model is based on Mixture Density Networks and Bézier curves with Gaussian random variables as control points. A key advantage of this model is given by the ability to generate multi-mode predictions in a single inference step, thus avoiding the need for Monte Carlo simulation.
Machine Learning and Knowledge Discovery in Databases
The three volume proceedings LNAI 11051 – 11053 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2018, held in Dublin, Ireland, in September 2018. The total of 131 regular papers presented in part I and part II was carefully reviewed and selected from 535 submissions; there are 52 papers in the applied data science, nectar and demo track. The contributions were organized in topical sections named as follows: Part I: adversarial learning; anomaly and outlier detection; applications; classification; clustering and unsupervised learning; deep learning; ensemble methods; and evaluation. Part II: graphs; kernel methods; learning paradigms; matrix and tensor analysis; online and active learning; pattern and sequence mining; probabilistic models and statistical methods; recommender systems; and transfer learning. Part III: ADS data science applications; ADS e-commerce; ADS engineering and design; ADS financial and security; ADS health; ADS sensing and positioning; nectar track; and demo track.
Machine Learning and Knowledge Discovery in Databases
The three volume proceedings LNAI 11051 – 11053 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2018, held in Dublin, Ireland, in September 2018. The total of 131 regular papers presented in part I and part II was carefully reviewed and selected from 535 submissions; there are 52 papers in the applied data science, nectar and demo track. The contributions were organized in topical sections named as follows: Part I: adversarial learning; anomaly and outlier detection; applications; classification; clustering and unsupervised learning; deep learningensemble methods; and evaluation. Part II: graphs; kernel methods; learning paradigms; matrix and tensor analysis; online and active learning; pattern and sequence mining; probabilistic models and statistical methods; recommender systems; and transfer learning. Part III: ADS data science applications; ADS e-commerce; ADS engineering and design; ADS financial and security; ADS health; ADS sensing and positioning; nectar track; and demo track.
Human-in-the-Loop Machine Learning
Machine learning applications perform better with human feedback. Keeping the right people in the loop improves the accuracy of models, reduces errors in data, lowers costs, and helps you ship models faster. Human-in-the-loop machine learning lays out methods for humans and machines to work together effectively. You'll find best practices on selecting sample data for human feedback, quality control for human annotations, and designing annotation interfaces. You'll learn to dreate training data for labeling, object detection, and semantic segmentation, sequence labeling, and more. The book starts with the basics and progresses to advanced techniques like transfer learning and self-supervision within annotation workflows.
Why Love Hurts
Few of us have been spared the agonies of intimate relationships. They come in many shapes: loving a man or a woman who will not commit to us, being heartbroken when we're abandoned by a lover, engaging in Sisyphean internet searches, coming back lonely from bars, parties, or blind dates, feeling bored in a relationship that is so much less than we had envisaged - these are only some of the ways in which the search for love is a difficult and often painful experience. Despite the widespread and almost collective character of these experiences, our culture insists they are the result of faulty or insufficiently mature psyches. For many, the Freudian idea that the family designs the pattern of...
Young Miles
IT ISN'T EASY, BEINGVOR... Being a Vor lord on the war-torn planetBarrayar wasn't easy. Being an officer in Barrayar's military wasn't easy. Andbeing the leader of a force of spaceborne mercenaries w
The Big Trivia Quiz Book
Put your general knowledge to the test, and impress your family and friends with your astonishing brainpower and trivia genius. An addictive quiz book for all the family featuring 10,000 questions, The Big Quiz Book has something for everyone. With 10 different general knowledge categories - from Science & Technology, Art & Literature, and Natural History, to Food & Drink, Film & TV, and Sport & Leisure - and three increasing levels of difficulty, it offers a fresh and up-to-the-minute quizzing experience that will educate and entertain all the family. Bursting with fascinating facts to boost your trivia knowledge, whatever your specialist subject or your nemesis topic, The Big Quiz Book is perfect for home entertainment and virtual pub quizzes. You won't be able to put it down!
The Oxford History of World Cinema
Featuring nearly three thousand film stills, production shots, and other illustrations, an authoritative history of the cinema traces the development of the medium, its filmmakers and stars, and the evolution of national cinemas around the world.
Program Synthesis
Program synthesis is the task of automatically finding a program in the underlying programming language that satisfies the user intent expressed in the form of some specification. Since the inception of artificial intelligence in the 1950s, this problem has been considered the holy grail of Computer Science. Despite inherent challenges in the problem such as ambiguity of user intent and a typically enormous search space of programs, the field of program synthesis has developed many different techniques that enable program synthesis in different real-life application domains. It is now used successfully in software engineering, biological discovery, compute-raided education, end-user programm...
