This book lays out a path leading from the linguistic and cognitive basics, to classical rule-based and machine learning algorithms, to today’s state-of-the-art approaches, which use advanced empirica
These conference proceedings focus on “Assessment for Learning: Within and Beyond the Classroom” in recognition of the power of assessment for learning as a way of boosting student performance. They e
This book reviews systematic training programs that are designed to enhance the language, reading, literacy and cognitive skills of individuals with Learning Disabilities in various disciplines. Most
This textbook provides concise coverage of the basics of linear and integer programming which, with megatrends toward optimization, machine learning, big data, etc., are becoming fundamental toolkits
This collection gathers contributions from scholars from Poland and abroad addressing different facets of research into the processes of foreign-language and second-language learning and teaching as t
Maximizing reader insights into the key scientific disciplines of Machine Tool Metrology, this text will prove useful for the industrial-practitioner and those interested in the operation of
This text presents a wide-ranging and rigorous overview of nearest neighbor methods, one of the most important paradigms in machine learning. Now in one self-contained volume, this book systematically
Mobile technologies have been used in higher education for many years. They provide good solutions for teaching and learning and make learning available anywhere and anytime. This book includes six se
The ideas introduced in this book explore the relationships among rule based systems, machine learning and big data. Rule based systems are seen as a special type of expert systems, which can be built
This successful textbook on predictive text mining offers a unified perspective on a rapidly evolving field, integrating topics spanning the varied disciplines of data science, machine learning, datab
This book presents the current state of the art on Construction Grammar models and usage-based language learning research. It reports on three psycholinguistic experiments conducted with the participa
This volume examines selected aspects of the foreign language learning process from an ecological perspective, adopting a holistic view on complex interrelations among and within organisms (L2 languag
The contributions for this book have been gathered over several years from conferences held in the series of Mechatronics and Machine Vision in Practice, the latest of which was held in Ankara, Turkey
This book provides a hands-on approach to learning ARM assembly language with the use of a TI microcontroller. The book starts with an introduction to computer architecture and then discusses number s
The use of RNAi technology is essential for most plant science researchers. As DNA sequence information increases, so the need for functional annotation of target genes also increases. Authoritative a
This book explores multimedia applications that emerged from computer vision and machine learning technologies. These state-of-the-art applications include MPEG-7, interactive multimedia retrieval, mu
Dart for Absolute Beginners enables individuals with no background in programming to create their own web apps while learning the fundamentals of software development in a cutting edge language. Easil
This SpringerBrief reveals the latest techniques in computer vision and machine learning on robots that are designed as accurate and efficient military snipers. Militaries around the world are investi
This book presents comparisons of recent accounts in the formalization of natural language (dynamic logics and formal semantics) with informal conceptions of interaction (dialogue, natural logic and a
Man-Machine Interaction is an interdisciplinary field of research that covers many aspects of science focused on a human and machine in conjunction. Basic goal of the study is to improve and invent ne
The First International Symposium on the Education in Mechanism and Machine Science (ISEMMS 2013) aimed to create a stable platform for the interchange of experience among researches of mechanism and
The book presents most recent investigations into foreign language teaching and learning discussed by prominent scholars in the field. A wide variety of topics ranges from theoretical approaches to fo
Data mining, an interdisciplinary field combining methods from artificial intelligence, machine learning, statistics and database systems, has grown tremendously over the last 20 years and produced co
Language can be simultaneously both a support and a hindrance to students’ learning of mathematics. When students have sufficient fluency in the mathematics register so that they can discuss their ide
This book provides a versatile and lucid treatment of classic as well as modern probability theory, while integrating them with core topics in statistical theory and also some key tools in machine lea
The use of RNAi technology is essential for most plant science researchers. As DNA sequence information increases, so the need for functional annotation of target genes also increases. Authoritative a
Learning spaces offer a rigorous mathematical foundation for practical systems of educational technology. Learning spaces generalize partially ordered sets and are special cases of knowledge spaces. T
This is a textbook for Natural Resource Management, Resource Conservation and Ecosystem Management, as well as other related or more specialized courses.Most textbooks on natural resource and ecosyst
Machine tools are the main production factor for many industrial applications, in important sectors such as the automotive and aeronautical industry, precision parts, human implants, and mechanical c
Assembled in this volume is a collection of some of the state-of-the-art methods that are using computer vision and machine learning techniques as applied in robotic applications. Currently there is a
When it comes to robotics and bioinformatics, the Holy Grail everyone is seeking is how to dovetail logic-based inference and statistical machine learning. This volume offers some possible solutions t
Mathematical Linguistics introduces the mathematical foundations of linguistics to computer scientists, engineers, and mathematicians interested in natural language processing. The book presents lingu
Mathematical Linguistics introduces the mathematical foundations of linguistics to computer scientists, engineers, and mathematicians interested in natural language processing. The book presents lingu
The purpose of this book is to explore "inner speech" and its connections to second language (L2) learning. Inner speech, or silent self-directed speaking, enables the faculty to "think" words and is
Ideas for Hermeneutic Phenomenology of Natural Sciences (published in 1993 as volume 15 of this series) comprised mainly ontological reflections on the natural sciences. That book explained why the na
This book offers a comprehensive perspective on metalinguistic knowledge and processes, and presents a coherent argument for building an element of language awareness into the language curriculum at a
Image processing and machine vision are fields of renewed interest in the commercial market. People in industry, managers, and technical engineers are looking for new technologies to move into the mar
Reinforcement Learning for Optimal Feedback Control develops model-based and data-driven reinforcement learning methods for solving optimal control problems in nonlinear deterministic dynamical system
This thesis focuses on the development of efficient and scalable total syntheses of natural products that can be used as preferred scaffolds for anti-infective drug discovery. It describes the total s
This edited volume assesses capabilities of data mining algorithms for spatial modeling of natural hazards in different countries based on a collection of essays written by experts in the field. The b
