The human body has developed complex sensory processing systems which manifest themselves in our emotions, memory, and language. This book examines such olfactory and gustatory cognition. Leading experts have written chapters on many facets of taste and smell, including odor memory, genetic variation in taste, and the hedonistic dimensions of odors.

A plethora of bioinformatics tools are available for exploiting the rapidly growing genomic, proteomic and structural data and the related databases. However, many researchers are unaware of these tools because they were published in a journal of narrow distribution or because they were described in technical language unfamiliar to the life scientist. In this book, leading bioinformaticists critically review the latest developments in their fields of expertise. Each chapter provides a clear explanation of the use, purpose and future potential of the tools for a given application. Topics include the use of multiple alignment methods, analysis of expression data, structural genomics, and protein structure prediction.

“A gorgeous chronicle of a versatile southern American artist.” —Kirkus Reviews (starred review) In a beautifully crafted biography, Hester Bass and Caldecott Honor winner E. B. Lewis pay homage to the most famous American artist you’ve never heard of. Reclusive nature-lover Walter Anderson spent weeks at a time on an uninhabited island, sketching and painting the natural surroundings and animals to create some of his most brilliant watercolors, which he kept hidden during his lifetime.

"A tour de force that underwrites and shifts the petrified image of Islam disseminated by mainstream media."--Walter D. Mignolo, author of The Darker Side of Western Modernity "Gives us an entirely different picture of Muslims in the Americas than can be found in the established literature. A complex glimpse of the rich diversity and historical depth of Muslim presence in the Caribbean and Latin America."--Katherine Pratt Ewing, editor of Being and Belonging: Muslim Communities in the United States since 9/11 "Finally a broad-ranging comparative work exploring the roots of Islam in the Americas! Drawing upon fresh historical and ethnographic research, this book asks important questions about the politics of culture and globalization of religion in the modern world."--Keith E. McNeal, author of Trance and Modernity in the Southern Caribbean In case studies that include the Caribbean, Latin America, and the United States, the contributors to this interdisciplinary volume trace the establishment of Islam in the Americas over the past three centuries. They simultaneously explore Muslims’ lived experiences and examine the ways Islam has been shaped in the "Muslim minority" societies in the New World, including the Gilded Age’s fascination with Orientalism, the gendered interpretations of doctrine among Muslim immigrants and local converts, the embrace of Islam by African American activist-intellectuals like Malcolm X, and the ways transnational hip hop artists re-create and reimagine Muslim identities. Together, these essays challenge the typical view of Islam as timeless, predictable, and opposed to Western worldviews and value systems, showing how this religious tradition continually engages with local and global issues of culture, gender, class, and race.

A new edition of a graduate-level machine learning textbook that focuses on the analysis and theory of algorithms. This book is a general introduction to machine learning that can serve as a textbook for graduate students and a reference for researchers. It covers fundamental modern topics in machine learning while providing the theoretical basis and conceptual tools needed for the discussion and justification of algorithms. It also describes several key aspects of the application of these algorithms. The authors aim to present novel theoretical tools and concepts while giving concise proofs even for relatively advanced topics. Foundations of Machine Learning is unique in its focus on the analysis and theory of algorithms. The first four chapters lay the theoretical foundation for what follows; subsequent chapters are mostly self-contained. Topics covered include the Probably Approximately Correct (PAC) learning framework; generalization bounds based on Rademacher complexity and VC-dimension; Support Vector Machines (SVMs); kernel methods; boosting; on-line learning; multi-class classification; ranking; regression; algorithmic stability; dimensionality reduction; learning automata and languages; and reinforcement learning. Each chapter ends with a set of exercises. Appendixes provide additional material including concise probability review. This second edition offers three new chapters, on model selection, maximum entropy models, and conditional entropy models. New material in the appendixes includes a major section on Fenchel duality, expanded coverage of concentration inequalities, and an entirely new entry on information theory. More than half of the exercises are new to this edition.

This book enhances our understanding of the ways in which educational and socio-cultural issues are explored and untangled within various complex European societies, and highlights the need for ongoing dialogue between different communities and societies.