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Nominal Classification in Asia and Oceania
Linguists have long been interested in systems of nominal classification due to their diverse functions as well as cognitive and cultural correlates. Among others, ongoing research has focused on semantic, functional and morphosyntactic properties of complex systems such as co-occurring gender and numeral classifiers. Such approaches have typically focused on the languages of north-western South America and Papua New Guinea. This volume proposes to fill in a gap in existing research by focusing on Asia, based on case studies from languages belonging to a wide range of families, i.e., Austroasiatic, Austronesian, Dravidian, Hmong-Mien, Indo-European, Mongolic, Sino-Tibetan and Tai-Kadai as well as the language isolate Nivkh. Gender and classifiers in these languages are approached within several different perspectives, i.e., functional, typological and diachronic, thus revealing complex patterns in their lexical and pragmatic functions as well as origin, development and loss. Describing and analysing such properties is a unique and innovative contribution of the volume.
Understanding Global Migration
Understanding Global Migration offers scholars a groundbreaking account of emerging migration states around the globe, especially in the Global South. Leading scholars of migration have collaborated to provide a birds-eye view of migration interdependence. Understanding Global Migration proposes a new typology of migration states, identifying multiple ideal types beyond the classical liberal type. Much of the world's migration has been to countries in Asia, Africa, the Middle East, and South America. The authors assembled here account for diverse histories of colonialism, development, and identity in shaping migration policy. This book provides a truly global look at the dilemmas of migration governance: Will migration be destabilizing, or will it lead to greater openness and human development? The answer depends on the capacity of states to manage migration, especially their willingness to respect the rights of the ever-growing portion of the world's population that is on the move.
Morphological Complexity
This book characterises the diverse morphological complexity we find in the languages of the world. Richly illustrated, examples are drawn from dozens of different languages and are subjected to rigorous quantitative analysis. It will be ideal reading for academic researchers and graduate students of linguistics, with a special interest in morphology and English language.
Beyond the Worst-Case Analysis of Algorithms
Introduces exciting new methods for assessing algorithms for problems ranging from clustering to linear programming to neural networks.
The Dynamics of Nominal Classification
The use of grammatical gender in the Australian language Mawng calls into question prevailing ideas about the functions of nominal classification systems. Mawng’s gender system has a strong semantic basis and plays an important role in the construction of meaning in discourse. Gender agreement in verbs is frequently lexicalized, creating idioms called lexicalised agreement verbs that are structurally similar to noun-verb idioms. This book will be of interest to anyone interested in nominal classification or cross-linguistic approaches to idioms.
Fréchet Differentiability of Lipschitz Functions and Porous Sets in Banach Spaces
This book makes a significant inroad into the unexpectedly difficult question of existence of Fréchet derivatives of Lipschitz maps of Banach spaces into higher dimensional spaces. Because the question turns out to be closely related to porous sets in Banach spaces, it provides a bridge between descriptive set theory and the classical topic of existence of derivatives of vector-valued Lipschitz functions. The topic is relevant to classical analysis and descriptive set theory on Banach spaces. The book opens several new research directions in this area of geometric nonlinear functional analysis. The new methods developed here include a game approach to perturbational variational principles t...
Traces of Violence
In this highly original work, Robert Desjarlais and Khalil Habrih present a dialogic account of the lingering effects of the terroristic attacks that occurred in Paris in November 2015. Situating the events within broader histories of state violence in metropolitan France and its colonial geographies, the authors interweave narrative accounts and photographs to explore a range of related phenomena: governmental and journalistic discourses on terrorism, the political work of archives, police and military apparatuses of control and anti-terror deterrence, the histories of wounds, and the haunting reverberations of violence in a plurality of lives and deaths. Traces of Violence is a moving work that aids our understanding of the afterlife of violence and offers an innovative example of collaborative writing across anthropology and sociology.
Somatic Lessons
Looks at narrative in the history of ayurvedic medical literature and the perspectives on illness and patienthood that emerge.
Automated Machine Learning
This open access book presents the first comprehensive overview of general methods in Automated Machine Learning (AutoML), collects descriptions of existing systems based on these methods, and discusses the first series of international challenges of AutoML systems. The recent success of commercial ML applications and the rapid growth of the field has created a high demand for off-the-shelf ML methods that can be used easily and without expert knowledge. However, many of the recent machine learning successes crucially rely on human experts, who manually select appropriate ML architectures (deep learning architectures or more traditional ML workflows) and their hyperparameters. To overcome this problem, the field of AutoML targets a progressive automation of machine learning, based on principles from optimization and machine learning itself. This book serves as a point of entry into this quickly-developing field for researchers and advanced students alike, as well as providing a reference for practitioners aiming to use AutoML in their work.
