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Report of the National Society of the Daughters of the American Revolution
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Value Added Tax Fraud
Serving as an introduction to one of the "hottest" topics in financial crime, the Value Added Tax (VAT) fraud, this new and original book aims to analyze and decrypt the fraud and explore multi-disciplinary avenues, thereby exposing nuances and shades that remain concealed by traditional taxation oriented researches. Quantifying the impact of the fraud on the real economy underlines the structural damages propagated by this crime in the European Union. The ‘fruadsters’ benefit when policy changes are inflicted in an economic space without a fully fledged legal framework. Geopolitical events like the creation of the Eurasian Union and 'Brexit' are analyzed from the perspective of the VAT ...
Algorithmic Learning in a Random World
Algorithmic Learning in a Random World describes recent theoretical and experimental developments in building computable approximations to Kolmogorov's algorithmic notion of randomness. Based on these approximations, a new set of machine learning algorithms have been developed that can be used to make predictions and to estimate their confidence and credibility in high-dimensional spaces under the usual assumption that the data are independent and identically distributed (assumption of randomness). Another aim of this unique monograph is to outline some limits of predictions: The approach based on algorithmic theory of randomness allows for the proof of impossibility of prediction in certain situations. The book describes how several important machine learning problems, such as density estimation in high-dimensional spaces, cannot be solved if the only assumption is randomness.
Perspectives of Neural-Symbolic Integration
When it comes to robotics and bioinformatics, the Holy Grail everyone is seeking is how to dovetail logic-based inference and statistical machine learning. This volume offers some possible solutions to this eternal problem. Edited with flair and sensitivity by Hammer and Hitzler, the book contains state-of-the-art contributions in neural-symbolic integration, covering `loose' coupling by means of structure kernels or recursive models as well as `strong' coupling of logic and neural networks.
Learning Kernel Classifiers
An overview of the theory and application of kernel classification methods. Linear classifiers in kernel spaces have emerged as a major topic within the field of machine learning. The kernel technique takes the linear classifier—a limited, but well-established and comprehensively studied model—and extends its applicability to a wide range of nonlinear pattern-recognition tasks such as natural language processing, machine vision, and biological sequence analysis. This book provides the first comprehensive overview of both the theory and algorithms of kernel classifiers, including the most recent developments. It begins by describing the major algorithmic advances: kernel perceptron learni...
Ufo Testament
This book entails the life of one who has not only become internationally respected as a UFO investigator and author but now as a so-called UFO abductee. It is strikingly different from other works dealing with UFO abductions in that it will provide an overview of the complete life of an abductee from early childhood to sunset years of his life. The exciting descriptions of UFO sightings, investigations and documentation would be worthy of a book themselves. The Chief Scientific Consultant for the USAF UFO Project Bluebook, Astronomer Dr. Hynek is on record as stating: "Raymond Fowler whose meticulous and detailed investigations far exceed the investigations of Bluebook." However, this book is about much more than investigating UFO sightings. Throughout the warp and weft of the author's UFO and paranormal experiences is the slow but sure realization that he has been investigated since childhood by the very phenomenon he was investigating!
The UFO Experience
Cited by the New York Review of Books as “the best brief for visitation,” this classic study presents an analysis of UFO reports and concludes that many sightings cannot be easily dismissed. The case against UFOs and unidentified aerial phenomena (UAP) has not been put to rest. Although UFOs “officially” did not exist for decades according to the government, reports of sightings continue to be made, and the latest releases from the government and related hearings have surprised the world. While the scientific community has put UFOs out to pasture, the evidence used to dismiss them is rare and unscientific. Dr. Hynek, a scientist himself, and the only government-paid ufologist in hist...
Shifting Gears
In the decades following the Second World War, autoworkers were at the forefront of the labour movement. Their union urged members to rally in the streets and use the ballot box to effect change for all working-class people. But by the turn of this century, the Canadian Auto Workers union had begun to pursue a more defensive political direction. Shifting Gears traces the evolution of CAW strategy from transformational activism to transactional politics. Class-based collective action and social democratic electoral mobilization gave way to transactional partnerships as relationships between the union, employers, and governments were refashioned. This new approach was maintained when the CAW merged with the Communications, Energy and Paperworkers Union in 2013 to create Unifor, Canada’s largest private-sector union. Stephanie Ross and Larry Savage explain how and why the union shifted its political tactics, offering a critical perspective on the current state of working-class politics.
Algorithmic Learning Theory
This book constitutes the refereed proceedings of the 11th International Conference on Algorithmic Learning Theory, ALT 2000, held in Sydney, Australia in December 2000. The 22 revised full papers presented together with three invited papers were carefully reviewed and selected from 39 submissions. The papers are organized in topical sections on statistical learning, inductive logic programming, inductive inference, complexity, neural networks and other paradigms, support vector machines.
Machine Learning: ECML 2001
This book constitutes the refereed proceedings of the 12th European Conference on Machine Learning, ECML 2001, held in Freiburg, Germany, in September 2001. The 50 revised full papers presented together with four invited contributions were carefully reviewed and selected from a total of 140 submissions. Among the topics covered are classifier systems, naive-Bayes classification, rule learning, decision tree-based classification, Web mining, equation discovery, inductive logic programming, text categorization, agent learning, backpropagation, reinforcement learning, sequence prediction, sequential decisions, classification learning, sampling, and semi-supervised learning.
