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Advances in Data Analysis
This book focuses on exploratory data analysis, learning of latent structures in datasets, and unscrambling of knowledge. Coverage details a broad range of methods from multivariate statistics, clustering and classification, visualization and scaling as well as from data and time series analysis. It provides new approaches for information retrieval and data mining and reports a host of challenging applications in various fields.
Melanoma Development
The book provides comprehensive insights into molecular changes in malignant melanoma. The general mechanisms of melanoma growth and development are described, as well as new research findings. Our current knowledge on the molecules involved in cell transformation and tumor progression will soon lead to sophisticated, targeted therapies. Recent studies with targeted b-RAF inhibitors have given us grounds to hope that these therapies will be successful. Melanoma Development- Molecular Biology, Genetics and Clinical Application aims to contribute to this knowledge. Summarizing the newest data and presenting upcoming research areas in the field, the book will be of great interest to basic researchers and physicians working in the important fields of melanoma, cancer research, therapy and dermatology.
Numeral Classifiers and Classifier Languages
Focusing mainly on classifiers, Numeral Classifiers and Classifier Languages offers a deep investigation of three major classifier languages: Chinese, Japanese, and Korean. This book provides detailed discussions well supported by empirical evidence and corpus analyses. Theoretical hypotheses regarding differences and commonalities between numeral classifier languages and other mainly article languages are tested to seek universals or typological characteristics. The essays collected here from leading scholars in different fields promise to be greatly significant in the field of linguistics for several reasons. First, it targets three representative classifier languages in Asia. It also provides critical clues and suggests solutions to syntactic, semantic, psychological, and philosophical issues about classifier constructions. Finally, it addresses ensuing debates that may arise in the field of linguistics in general and neighboring inter-disciplinary areas. This book should be of great interest to advanced students and scholars of East Asian languages.
Classification as a Tool for Research
Clustering and Classification, Data Analysis, Data Handling and Business Intelligence are research areas at the intersection of statistics, mathematics, computer science and artificial intelligence. They cover general methods and techniques that can be applied to a vast set of applications such as in business and economics, marketing and finance, engineering, linguistics, archaeology, musicology, biology and medical science. This volume contains the revised versions of selected papers presented during the 11th Biennial IFCS Conference and 33rd Annual Conference of the German Classification Society (Gesellschaft für Klassifikation - GfKl). The conference was organized in cooperation with the International Federation of Classification Societies (IFCS), and was hosted by Dresden University of Technology, Germany, in March 2009.
Handbook of Japanese Psycholinguistics
The studies of the Japanese language and psycholinguistics have advanced quite significantly in the last half century thanks to the progress in the study of cognition and brain mechanisms associated with language acquisition, use, and disorders, and in particular, because of technological developments in experimental techniques employed in psycholinguistic studies. This volume contains 18 chapters that discuss our brain functions, specifically, the process of Japanese language acquisition - how we acquire/learn the Japanese language as a first/second language - and the mechanism of Japanese language perception and production - how we comprehend/produce the Japanese language. In turn we addre...
Challenges at the Interface of Data Analysis, Computer Science, and Optimization
This volume provides approaches and solutions to challenges occurring at the interface of research fields such as data analysis, computer science, operations research, and statistics. It includes theoretically oriented contributions as well as papers from various application areas, where knowledge from different research directions is needed to find the best possible interpretation of data for the underlying problem situations. Beside traditional classification research, the book focuses on current interests in fields such as the analysis of social relationships as well as statistical musicology.
Universal Grammar and the Second Language Classroom
This book proposes that research into generative second language acquisition (GenSLA) can be applied to the language classroom. Assuming that Universal Grammar plays a role in second language development, it explores generalisations from GenSLA research. The book aims to build bridges between the fields of generative second language acquisition, applied linguistics, and language teaching; and it shows how GenSLA is poised to engage with researchers of second language learning outside the generative paradigm. Each chapter of Universal Grammar and the Second Language Classroom showcases ways in which GenSLA research can inform language pedagogy. Some chapters include classroom research that te...
Data Analysis and Rationality in a Complex World
This volume presents the latest advances in statistics and data science, including theoretical, methodological and computational developments and practical applications related to classification and clustering, data gathering, exploratory and multivariate data analysis, statistical modeling, and knowledge discovery and seeking. It includes contributions on analyzing and interpreting large, complex and aggregated datasets, and highlights numerous applications in economics, finance, computer science, political science and education. It gathers a selection of peer-reviewed contributions presented at the 16th Conference of the International Federation of Classification Societies (IFCS 2019), which was organized by the Greek Society of Data Analysis and held in Thessaloniki, Greece, on August 26-29, 2019.
Neuroimaging
The rate of technological progress is encouraging increasingly sophisticated lines of enquiry in cognitive neuroscience and shows no sign of slowing down in the foreseeable future. Nevertheless, it is unlikely that even the strongest advocates of the cognitive neuroscience approach would maintain that advances in cognitive theory have kept in step with methods-based developments. There are several candidate reasons for the failure of neuroimaging studies to convincingly resolve many of the most important theoretical debates in the literature. For example, a significant proportion of published functional magnetic resonance imaging (fMRI) studies are not well grounded in cognitive theory, and ...
