Between 1983 and 1987, mercenaries adopting the pseudonym GAL (Grupos Antiterroristas de Liberación, Antiterrorist Liberation Group) paid by the Spanish treasury and relying upon national intelligence support were at war with the Basque militant group ETA (Euskadi (e)Ta Askatasuna, Basque Country and Freedom). Over four years, their campaign of extrajudicial assassinations spanned the French-Spanish border. Nearly thirty people were killed in a campaign comprised of torture, kidnapping, bombing and the assassination of suspected ETA activists and Basque refugees.This establishment of unofficial counterterrorist squads by a Spanish Government was a blatant detour from legality. It was also a rare case in Europe where no less than fourteen high-ranking Spanish police officers and senior government officials, including the Minister of Interior himself, were eventually arrested and condemned for counter-terrorism wrongdoings and illiberal practices. Thirty years later, this campaign of intimidation, coercion and targeted killings continues to grip Spain. The GAL affair was not only a serious example of a major departure from accepted liberal democratic constitutional principles of law and order, but also a brutal campaign that postponed by decades the possibility of a political solution for the Basque conflict.Counter-terror by proxy uncovers why and how a democratic government in a liberal society turned to a ‘dirty war’ and went down the route of illegal and extrajudicial killing actions. It offers a fuller examination of the long-term implications of the use of unorthodox counter-terrorist strategies in a liberal democracy.
Manny the Mailman delivers to a town of fairy tale creatures. All is well and good until one day he receives a package that needs to be signed before 6 o' clock. But when an adventurous elf drags Manny into helping the magical creatures, Manny has to rush through the tasks in order to deliver the package on time.
In Christina's world, boys can control water and girls can control fire. Which sounds wonderful, except that water beats fire. So in Christina's world, boys rule over girls and have turned the warm kingdom of Vartanis into the evil empire of Andromeno, a world of snow and ice too cold for girls to survive in.Christina, her sisters, and her mother are forbidden to go to school, fight, lead, or do anything boys can do and spend their lives inside their igloos cooking and cleaning. But when a mysterious old woman reveals that Christina is the Chosen One, Christina must learn to unleash the true potential of fire. Only then can she take down the empire and raise a kingdom where fire and water and boys and girls can live together again. But she'll find that the odds are stacked infinitely against her and usurping power in this empire will be more difficult than beating water with fire.
Ancien grand reporter au Monde, Robert Belleret est l'auteur de cinq importantes biographies concernant L o Ferr , Jean Ferrat, Edith Piaf, Charles Aznavour et Paul Bocuse. Il livre ici les portraits, r alis s sur le vif, de treize personnalit s fran aises: Charles Aznavour, Emmanuelle B art, Guy B art, Guy Bedos, Paul Bocuse, Cabu, Jean-Loup Dabadie, Fabrice Luchini, Fran ois Morel, L'abb Pierre, Daniel Pr vost, S gol ne Royal, Alain Souchon.
Eloge funebre de Victor-Emmanuel Leclerc-Puiseux, general en chef de l'armee de Saint-Domingue, prononce dans l'eglise metropolitaine de Lyon, le 15 fevrier 1803... par M. Bonnevie, ...Date de l'edition originale: 1802Ce livre est la reproduction fidele d'une oeuvre publiee avant 1920 et fait partie d'une collection de livres reimprimes a la demande editee par Hachette Livre, dans le cadre d'un partenariat avec la Bibliotheque nationale de France, offrant l'opportunite d'acceder a des ouvrages anciens et souvent rares issus des fonds patrimoniaux de la BnF.Les oeuvres faisant partie de cette collection ont ete numerisees par la BnF et sont presentes sur Gallica, sa bibliotheque numerique.En entreprenant de redonner vie a ces ouvrages au travers d'une collection de livres reimprimes a la demande, nous leur donnons la possibilite de rencontrer un public elargi et participons a la transmission de connaissances et de savoirs parfois difficilement accessibles.Nous avons cherche a concilier la reproduction fidele d'un livre ancien a partir de sa version numerisee avec le souci d'un confort de lecture optimal. Nous esperons que les ouvrages de cette nouvelle collection vous apporteront entiere satisfaction.Pour plus d'informations, rendez-vous sur www.hachettebnf.fr
Probability as an Alternative to Boolean LogicWhile logic is the mathematical foundation of rational reasoning and the fundamental principle of computing, it is restricted to problems where information is both complete and certain. However, many real-world problems, from financial investments to email filtering, are incomplete or uncertain in nature. Probability theory and Bayesian computing together provide an alternative framework to deal with incomplete and uncertain data. Decision-Making Tools and Methods for Incomplete and Uncertain DataEmphasizing probability as an alternative to Boolean logic, Bayesian Programming covers new methods to build probabilistic programs for real-world applications. Written by the team who designed and implemented an efficient probabilistic inference engine to interpret Bayesian programs, the book offers many Python examples that are also available on a supplementary website together with an interpreter that allows readers to experiment with this new approach to programming.Principles and Modeling Only requiring a basic foundation in mathematics, the first two parts of the book present a new methodology for building subjective probabilistic models. The authors introduce the principles of Bayesian programming and discuss good practices for probabilistic modeling. Numerous simple examples highlight the application of Bayesian modeling in different fields.Formalism and AlgorithmsThe third part synthesizes existing work on Bayesian inference algorithms since an efficient Bayesian inference engine is needed to automate the probabilistic calculus in Bayesian programs. Many bibliographic references are included for readers who would like more details on the formalism of Bayesian programming, the main probabilistic models, general purpose algorithms for Bayesian inference, and learning problems.FAQsAlong with a glossary, the fourth part contains answers to frequently asked questions. The authors compare Bayesian programming and possibility theories, discuss the computational complexity of Bayesian inference, cover the irreducibility of incompleteness, and address the subjectivist versus objectivist epistemology of probability. The First Steps toward a Bayesian ComputerA new modeling methodology, new inference algorithms, new programming languages, and new hardware are all needed to create a complete Bayesian computing framework. Focusing on the methodology and algorithms, this book describes the first steps toward reaching that goal. It encourages readers to explore emerging areas, such as bio-inspired computing, and develop new programming languages and hardware architectures.
Probability as an Alternative to Boolean LogicWhile logic is the mathematical foundation of rational reasoning and the fundamental principle of computing, it is restricted to problems where information is both complete and certain. However, many real-world problems, from financial investments to email filtering, are incomplete or uncertain in nature. Probability theory and Bayesian computing together provide an alternative framework to deal with incomplete and uncertain data. Decision-Making Tools and Methods for Incomplete and Uncertain DataEmphasizing probability as an alternative to Boolean logic, Bayesian Programming covers new methods to build probabilistic programs for real-world applications. Written by the team who designed and implemented an efficient probabilistic inference engine to interpret Bayesian programs, the book offers many Python examples that are also available on a supplementary website together with an interpreter that allows readers to experiment with this new approach to programming.Principles and Modeling Only requiring a basic foundation in mathematics, the first two parts of the book present a new methodology for building subjective probabilistic models. The authors introduce the principles of Bayesian programming and discuss good practices for probabilistic modeling. Numerous simple examples highlight the application of Bayesian modeling in different fields.Formalism and AlgorithmsThe third part synthesizes existing work on Bayesian inference algorithms since an efficient Bayesian inference engine is needed to automate the probabilistic calculus in Bayesian programs. Many bibliographic references are included for readers who would like more details on the formalism of Bayesian programming, the main probabilistic models, general purpose algorithms for Bayesian inference, and learning problems.FAQsAlong with a glossary, the fourth part contains answers to frequently asked questions. The authors compare Bayesian programming and possibility theories, discuss the computational complexity of Bayesian inference, cover the irreducibility of incompleteness, and address the subjectivist versus objectivist epistemology of probability. The First Steps toward a Bayesian ComputerA new modeling methodology, new inference algorithms, new programming languages, and new hardware are all needed to create a complete Bayesian computing framework. Focusing on the methodology and algorithms, this book describes the first steps toward reaching that goal. It encourages readers to explore emerging areas, such as bio-inspired computing, and develop new programming languages and hardware architectures.
