Fiction. Literary Nonfiction. Art. 'SSES" 'SSES""SSEY' is a book object that is based/extrapolates on an MFA thesis Kevin White wrote in 1990 entitled 'SSES" 'SSES" wherein he recapitulated Joyce's Ulysses' recapitulation of Homer's Odyssey to a trip he took across Asia in search of his father (who committed suicide in 1982). 'SSES" 'SSES" "SSEY'takes this recapitulation 1 step further, folding in his journals, unpublished stories + artwork he made before himself dying of a heroin overdose in 1997. The super-scripted "SSEY' represents his brother Derek's editorial role in compiling the book—in belatedly finishing the Telemachean pursuit, searching recursively for his brother searching in parallel for their father. 'SSES" 'SSES""SSEY' is also a literary work that reflexively interrogates the very transcription + curative processes used to produce it, mobilizing reflexive loops between original imagined intent + editorial deterritorialization...a "gift of tongues rendering visible not the lay sense but the first entelechy, the structural rhythm"—as Stephen Dedalus (Telemachus) says in Ulysses.
This book consists of the papers accepted after a careful review process at an international scientific meeting where the latest developments on intelligent and fuzzy systems are presented and discussed. The latest developments in both the theoretical and practical fields of the new fuzzy set extensions have been prepared by expert researchers. Contributed by participants from more than 40 different countries, this book is also a useful resource in terms of showing the levels that fuzzy and intelligent systems have reached in various countries of the world. The intended readers are intelligent and fuzzy systems researchers, lecturers, M.Sc., and Ph.D. students studying fuzzy sets and artificial intelligence. The book covers fuzzy logic theory and applications, heuristics, and metaheuristics from optimization to machine learning, from quality management to risk management, making the book an excellent source for researchers.
Proceedings of the Annual Conferences on Genetic Programming. These proceedings present the most recent research in the field of genetic programming as well as recent research results in the fields of genetic algorithms, artificial life and evolution strategies, DNA computing, evolvable hardware, and genetic learning classifier systems.
An inspiring guide to the practices of contemporary experimental creative writing, this book explores experimentation within both traditional writing genres and 'post-genre' modes such as hybrid texts, Non-creative writing, textual materiality, creative re-purposing, performance and new media technologies. Combining the practices, history, social context, and philosophical backgrounds of experimental work with a broad anthology of models in-book and online, Experimental Writing gives you the toolkit of techniques and skills to confidently engage with forms previously perceived as intimidating so that you can reinvigorate your craft. In addition, the book includes sections on new approaches to the workshop model, emphasis on community and collaboration, and institutional critique. These chapters will provide you with a “big picture” perspective and the motivation to question the templates you work within, giving you the where-with-all to shape your own ideals for writing, no matter what their stylistic choices. Within its broad scope, Experimental Writing covers: - a comprehensive survey of relevant movements, texts, authors, and techniques of non-traditional forms - a survey of evolving trends with exemplars of how genres can be disrupted to help you appreciate experimental styles - demonstrations of how more diverse and innovative pedagogical interventions have the potential to inspire your creativity and create more original work - an examination of the institutional forces that have shaped the creative writing landscape you inhabit, to prompt you to re-examine the pressures, cultural biases, and power structures that have shaped both your aesthetic vision and potential future career paths - frameworks for independent research, practitioner interviews, and motivating questions to get you thinking and questioning before you encounter each new topic With each chapter accompanied by stimulating pedagogical features such as a timeline of experimental writing, free writes, games and constraints, reflections, exercises, prompts and case studies throughout, this invaluable text reveals wider horizon for your artistic endeavors and will activate your critical thinking about a range of issues and ideas. Additional online resources for this book can be found at http://www.bloomsburyonlineresources.com/experimental-writing-a-writers-guide-and-anthology.
This book gathers the most recent developments in fuzzy & intelligence systems and real complex systems presented at INFUS 2020, held in Istanbul on July 21–23, 2020. The INFUS conferences are a well-established international research forum to advance the foundations and applications of intelligent and fuzzy systems, computational intelligence, and soft computing, highlighting studies on fuzzy & intelligence systems and real complex systems at universities and international research institutions. Covering a range of topics, including the theory and applications of fuzzy set extensions such as intuitionistic fuzzy sets, hesitant fuzzy sets, spherical fuzzy sets, and fuzzy decision-making; machine learning; risk assessment; heuristics; and clustering, the book is a valuable resource for academics, M.Sc. and Ph.D. students, as well as managers and engineers in industry and the service sectors.
Build real-world time series forecasting systems which scale to millions of time series by applying modern machine learning and deep learning concepts Key Features Explore industry-tested machine learning techniques used to forecast millions of time series Get started with the revolutionary paradigm of global forecasting models Get to grips with new concepts by applying them to real-world datasets of energy forecasting Book DescriptionWe live in a serendipitous era where the explosion in the quantum of data collected and a renewed interest in data-driven techniques such as machine learning (ML), has changed the landscape of analytics, and with it, time series forecasting. This book, filled with industry-tested tips and tricks, takes you beyond commonly used classical statistical methods such as ARIMA and introduces to you the latest techniques from the world of ML. This is a comprehensive guide to analyzing, visualizing, and creating state-of-the-art forecasting systems, complete with common topics such as ML and deep learning (DL) as well as rarely touched-upon topics such as global forecasting models, cross-validation strategies, and forecast metrics. You’ll begin by exploring the basics of data handling, data visualization, and classical statistical methods before moving on to ML and DL models for time series forecasting. This book takes you on a hands-on journey in which you’ll develop state-of-the-art ML (linear regression to gradient-boosted trees) and DL (feed-forward neural networks, LSTMs, and transformers) models on a real-world dataset along with exploring practical topics such as interpretability. By the end of this book, you’ll be able to build world-class time series forecasting systems and tackle problems in the real world.What you will learn Find out how to manipulate and visualize time series data like a pro Set strong baselines with popular models such as ARIMA Discover how time series forecasting can be cast as regression Engineer features for machine learning models for forecasting Explore the exciting world of ensembling and stacking models Get to grips with the global forecasting paradigm Understand and apply state-of-the-art DL models such as N-BEATS and Autoformer Explore multi-step forecasting and cross-validation strategies Who this book is for The book is for data scientists, data analysts, machine learning engineers, and Python developers who want to build industry-ready time series models. Since the book explains most concepts from the ground up, basic proficiency in Python is all you need. Prior understanding of machine learning or forecasting will help speed up your learning. For experienced machine learning and forecasting practitioners, this book has a lot to offer in terms of advanced techniques and traversing the latest research frontiers in time series forecasting.
Gail Black is living proof that success and failure in life are interwoven like the tangled brambles in a thicket of wild berries. Asses and Angels shares the moving story of her personal path through life as it wove through tangled fields of good and evil. She learned to hope and survive on her journey from abuse to achievement. Born just as World War II intensified, Gail grew into a spirited little girl and then into a woman who never forgot that each day was a new opportunity with the possibility of success and happiness. Family health challenges compelled her to mature early. Religious control, physical abuse, and financial manipulation caused her to experience divorce, widowhood, and annulment. Learn how she prevailed in male-dominated business ventures and environmental battles as she farmed her land. Her grit, sense of humor, work ethic, and love for her farm helped insure her entrepreneurial success in the business of making fruit syrups with her grandmother's recipe.
