David Blair directs this British drama, loosely inspired by John Steinbeck's novel 'Of Mice and Men'. Set in Nottingham, the film revolves around the relationship between the thuggish Danny (Stephen Graham) and Joseph (Adewale Akinnuoye-Agbaje), a giant of a man with a mental age of seven. When Danny finds himself in debt to a local crime boss, he feels he is left with no choice but to manipulate Joseph into participating in a series of underground cage fights from which Danny can profit. Salvation appears to call out to both men when they begin relationships with Lisa (Emma Stansfield) and Isabel (Maxine Peake), but will they be able to escape the bloody world of gambling and fighting Danny has plunged them into?

This monograph explores the analysis and design of model-free optimal control systems based on reinforcement learning (RL) theory, presenting new methods that overcome recent challenges faced by RL. New developments in the design of sensor data efficient RL algorithms are demonstrated that not only reduce the requirement of sensors by means of output feedback, but also ensure optimality and stability guarantees. A variety of practical challenges are considered, including disturbance rejection, control constraints, and communication delays. Ideas from game theory are incorporated to solve output feedback disturbance rejection problems, and the concepts of low gain feedback control are employed to develop RL controllers that achieve global stability under control constraints. Output Feedback Reinforcement Learning Control for Linear Systems will be a valuable reference for graduate students, control theorists working on optimal control systems, engineers, and applied mathematicians.

Prepare for Microsoft Certification Exam 70-483: Programming in C#. The "What, Why, and How" of each concept is presented along with quick summaries, code challenges, and exam questions to review and practice key concepts. You will learn how to use: Lambda expressions to write LINQ query expressions Asynchronous programming with the Async and Await keywords to maximize performance of slow applications Regular expressions to validate user input Reflection to create and handle types at runtime and much more The source code in the book will be available in the form of iCanCSharp notebooks and scripts that allow you to try out examples and extend them in interesting ways. What You Will Learn Understand the necessary knowledge and skill set to prepare for Microsoft Exam 70-483 Study the code challenges and practice questions on C# that are relevant to the exam Master the C# programming language Who This Book Is For Experienced C# and .NET programmers and developers who are ready to take and pass the exam in order to get certified

In this book, the authors discuss the recent developments in computational techniques for automated non-invasive facial emotion detection and analysis with particular focus on the smile. By way of applications, they discuss how genuine and non-genuine smiles can be inferred, how gender is encoded in a smile and how it is possible to use the dynamics of a smile itself as a biometric feature. It is often said that the face is a window to the soul. Bearing a metaphor of this nature in mind, one might find it intriguing to understand, if any, how the physical, behavioural as well as emotional characteristics of a person could be decoded from the face itself. With the increasing deductive power of machine learning techniques, it is becoming plausible to address such questions through the development of appropriate computational frameworks. Though there are as many as over twenty five categories of emotions one could express, regardless of the ethnicity, gender or social class, across humanity, there exist six common emotions - namely happiness, sadness, surprise, fear, anger and disgust - all of which can be inferred from facial expressions. Of these facial expressions, the smile is the most prominent in social interactions. The smile bears important ramifications with beliefs such as it makes one more attractive, less stressful in upsetting situations and employers tending to promote people who smile often. Even pockets of scientific research appear to be forthcoming to validate such beliefs and claims, e.g. the smile intensity observed in photographs positively correlates with longevity, the ability to win a fight and whether a couple would stay married. Thus, it appears that many important personality traits are encoded in the smile itself. Therefore, the deployment of computer based algorithms for studying the human smiles in greater detail is a plausible avenue for which the authors have dedicated the discussions in this book.

Crime drama based on the life of Scottish gangster Paul Ferris. Martin Compston stars as Ferris, who was brought up on Glasgow's notorious Black Hill estate in the 1960s. As a young man Ferris starts out working for two rival gang bosses, The Godfather and The Snake, but after a brutal betrayal he decides to go it alone. Carving out a dangerous and bloody career defined by violence, corruption and murder, Paul 'The Wee Man' Ferris ends up becoming the most feared man in Glasgow.

British gangster thriller depicting events surrounding the Essex drugs war in the mid-1990s. The film charts the ever-increasing drug shipments, gangland politics and extreme violence that culminated in the brutal murder of three gangsters - Tony Tucker (Terry Stone), Patrick Tate (Tamer Hassan) and Craig Rolfe (Neil Maskell) - in their Range Rover in Rettendon in 1995.

Crime drama based on the life of Scottish gangster Paul Ferris. Martin Compston stars as Ferris, who was brought up on Glasgow's notorious Black Hill estate in the 1960s. As a young man Ferris starts out working for two rival gang bosses, The Godfather and The Snake, but after a brutal betrayal he decides to go it alone. Carving out a dangerous and bloody career defined by violence, corruption and murder, Paul 'The Wee Man' Ferris ends up becoming the most feared man in Glasgow.