You may have to Search all our reviewed books and magazines, click the sign up button below to create a free account.
We present in this volume the collection of finally accepted papers of the eighth edition of the “IWANN” conference (“International Work-Conference on Artificial Neural Networks”). This biennial meeting focuses on the foundations, theory, models and applications of systems inspired by nature (neural networks, fuzzy logic and evolutionary systems). Since the first edition of IWANN in Granada (LNCS 540, 1991), the Artificial Neural Network (ANN) community, and the domain itself, have matured and evolved. Under the ANN banner we find a very heterogeneous scenario with a main interest and objective: to better understand nature and beings for the correct elaboration of theories, models an...
A roadmap to help you recover better and faster following a cancer diagnosisófrom the moment of diagnosis through remission and life after cancer. For more than 25 years, Dr. Fleishman has helped thousands of patients and families navigate the hopes, fears, and realities of cancer. In Learn to Live through Cancer, he provides a supportive and empowering guide so that you and your family know what to expect and how to proceed at every stage of your journey with cancer. Using the tools and suggestions of his step-by-step system, youíll learn how to: Evaluate your condition Improve communication with your health care providers Participate in care decisions more easily Research your illness and treatment options Assess complementary therapy options improve overall health habits Tend to your emotional well-being Adjust to the physical and emotional changes posttreatment Packed with practical tools and evidence-based advice, Learn to Live through Cancer is an essential companion for every cancer survivor and his or her loved ones.
Cet ouvrage est une réédition numérique d’un livre paru au XXe siècle, désormais indisponible dans son format d’origine.
In 1934 the republic of Haiti celebrated its 130th anniversary as an independent nation. In that year, too, another sort of Haitian independence occurred, as the United States ended nearly two decades of occupation. In the first comprehensive political history of postoccupation Haiti, Matthew Smith argues that the period from 1934 until the rise of dictator Francois "Papa Doc" Duvalier to the presidency in 1957 constituted modern Haiti's greatest moment of political promise. Smith emphasizes the key role that radical groups, particularly Marxists and black nationalists, played in shaping contemporary Haitian history. These movements transformed Haiti's political culture, widened political discourse, and presented several ideological alternatives for the nation's future. They were doomed, however, by a combination of intense internal rivalries, pressures from both state authorities and the traditional elite class, and the harsh climate of U.S. anticommunism. Ultimately, the political activism of the era failed to set Haiti firmly on the path to a strong independent future.
This edited book includes extended and revised versions of a set of selected papers from the First International Conference on Pattern Recognition (ICPRAM 2012), held in Vilamoura, Algarve, Portugal, from 6 to 8 February, 2012, sponsored by the Institute for Systems and Technologies of Information Control and Communication (INSTICC) and held in cooperation with the Association for the Advancement of Artificial Intelligence (AAAI) and Pattern Analysis, Statistical Modelling and Computational Learning (PASCAL2). The conference brought together researchers, engineers and practitioners interested on the areas of Pattern Recognition, both from theoretical and application perspectives.