Page 24
Page 24
Inductive Dependency Parsing
This book provides an in-depth description of the framework of inductive dependency parsing, a methodology for robust and efficient syntactic analysis of unrestricted natural language text. This methodology is based on two essential components: dependency-based syntactic representations and a data-driven approach to syntactic parsing. More precisely, it is based on a deterministic parsing algorithm in combination with inductive machine learning to predict the next parser action.
Individual differences in sensory and consumer science : Experimentation, analysis and interpretation
Individual differences in sensory and consumer science: Experimentation, Analysis and Interpretation presents easily readable, State-of-the-art coverage on how to plan and execute experiments that give rise to individual differences, Also providing the framework for successful analysis and interpretation of results. The book highlights the different methodologies that can be applied and how to select the correct methodology based on the type of study you are performing, Be it product research and development, Quality control or consumer acceptance studies.Written by an experienced team of statisticians and sensory and consumer scientists, The book provides both academics and industry professionals with the first complete overview of a topic of ever-increasing importance.
Independent component analysis and signal separation ; 7th International Conference, ICA 2007, London, UK, September 9-12, 2007, Proceedings
Independent Component Analysis and Signal Separation has applications at the intersection of many science and engineering disciplinesconcernedwithunderstandingandextractingusefulinformationfrom data as diverse as neuronal activity and brain images, bioinformatics, com- nications, the World Wide Web, audio, video, sensor signals, or time series.
Inconsistency tolerance
Inconsistency arises in many areas in advanced computing. Often inconsistency is unwanted, for example in the specification for a plan or in sensor fusion in robotics; however, sometimes inconsistency is useful. Whether inconsistency is unwanted or useful, there is a need to develop tolerance to inconsistency in application technologies such as databases, knowledge bases, and software systems. To address this situation, inconsistency tolerance is being built on foundational technologies for identifying and analyzing inconsistency in information, for representing and reasoning with inconsistent information, for resolving inconsistent information, and for merging inconsistent information. The idea for this book arose out of a Dagstuhl Seminar on the topic held in summer 2003. The nine chapters in this first book devoted to the subject of inconsistency tolerance were carefully invited and anonymously reviewed. The book provides an exciting introduction to this new field.
Income Elasticity and Economic Development : Methods and Applications
Income Elasticity and Economic Development: Methods and Applications is mainly concerned with methods of estimating income elasticity. This field is connected with economic development that can be achieved by reducing income inequality. This is highly relevant in today's world, where the gap between rich and poor is widening with the growth of economic development. Income Elasticity and Economic Development: Methods and Applications provides a good example in showing how to calculate income elasticity, using a number of methods from widely available grouped data. Some of the techniques presented here can be used in a wide range of policy areas in all developed, developing and under-developed countries. Policy analysts, economists, business analysts and market researchers will find this book very useful.
Improving image quality in visual cryptography
This book comprehensively covers the important efforts in improving the quality of images in visual cryptography (VC), with a focus on cases with gray scale images. It not only covers schemes in traditional VC and extended VC for binary secret images, but also the latest development in the analysis-by-synthesis approach.
IMPROVE - Innovative modelling approaches for production systems to raise validatable efficiency : Intelligent methods for the factory of the future
This open access work presents selected results from the European research and innovation project IMPROVE which yielded novel data-based solutions to enhance machine reliability and efficiency in the fields of simulation and optimization, condition monitoring, alarm management, and quality prediction.
Impossible Bodies, Impossible Selves : Exclusions and Student Subjectivities
This book looks inside the school to examine how every-day, school-level processes act to place particular students 'outside' the educational endeavour and argues for new strategies for thinking critically about and interrupting educational exclusions and inequalities.The book uses tools offered by post-structural theory to read ethnographic data and show how the discourses that circulate inside schools at once mobilize and elide gender, sexuality, social class, ability, disability, race, ethnicity, religious and cultural belongings at the same time as they open up and close down 'who' students can be as learners.
Implementing responsible research and innovation : Organisational and national conditions
we give an overview of the book and the RRI-Practice study. The book is an analysis of data collected in the RRI-Practice study. It comprises an organizational analysis and an analysis of national discourses, thus analysing conditions for the uptake of RRI in research funding and research performing organisations in the science system.
Implementing machine learning for finance : A systematic approach to predictive risk and performance analysis for investment portfolios
Introduces pattern recognition and future price forecasting that exerts effects on time series analysis models, such as the Autoregressive Integrated Moving Average (ARIMA) model, Seasonal ARIMA (SARIMA) model, and Additive model, and it covers the Least Squares model and the Long Short-Term Memory (LSTM) model. It presents hidden pattern recognition and market regime prediction applying the Gaussian Hidden Markov Model. The book covers the practical application of the K-Means model in stock clustering. It establishes the practical application of the Variance-Covariance method and Simulation method (using Monte Carlo Simulation) for value at risk estimation. It also includes market direction classification using both the Logistic classifier and the Multilayer Perceptron classifier. Finally, the book presents performance and risk analysis for investment portfolios. You will: Understand the fundamentals of the financial market and algorithmic trading, as well as supervised and unsupervised learning models that are appropriate for systematic investment portfolio management / Know the concepts of feature engineering, data visualization, and hyperparameter optimization / Design, build, and test supervised and unsupervised ML and DL models / Discover seasonality, trends, and market regimes, simulating a change in the market and investment strategy problems and predicting market direction and prices / Structure and optimize an investment portfolio with preeminent asset classes and measure the / underlying risk
Implementation and Application of Functional Languages ; 19th International Workshop, IFL 2007, Freiburg, Germany, September 27-29, 2007. Revised Selected Papers
This book constitutes the thoroughly refereed post-proceedings of the 19th International Workshop on Implementation and Applications of Functional Languages, IFL 2007, held in Freiburg, Germany in September 2007.The 15 revised full papers presented went through two rounds of reviewing and improvement and were selected from 33 submissions. The papers address all current theoretical and methodological issues on functional and function-based languages such as type checking, contract checking, compilation, parallelism, development and debugging, data structures, parsing as well as various performance related concepts.
Impacts and Risk Assessment of Technology for Internet Security : Enabled Information Small-Medium Enterprises (TEISMES)
This emerging economy is bringing with it new forms of TEI intermediation, online businesses, virtual supply chains, rapidly changing internet-electronic commerce technologies, increasing knowledge intensity, and unprecedented sensitivity of the time-to-market by customers. Impacts and Risk Assessment of Technology for Internet Security Enabled Information Small-Medium Enterprises (TEISMES) also identifies ways of minimizing risk liability of TEISME business operations as a result of their dependence on TEI (Internet-eC). The rapid evolution and spread of information technology (IT) during the last few years is challenging SMEs, governments and internet security professionals to rethink the very nature of risk exposure. Impacts and Risk Assessment of Technology for Internet Security Enabled Information Small-Medium Enterprises (TEISMES) is designed for a professional audience of researchers and practitioners in industry. This book is also suitable for graduate-level students in computer science.
Impact of Corporate Governance on Earnings Management
This research was aimed to study the impact of corporate governance on earnings management, and to explain the relationship between both of these variables. To achieve that goal the research depended on practical study; by extracting an actual data from the 8 conventional banks listed in DSE. the extracted data were then analyzed by using descriptive statistics, simple and multiple linear regression test and ANOVA test to examine the research hypothesis. The results showed that there is a governance impact on earnings management, and defined the relationship between audit committee and earnings management as negative relationship. and also, a negative relationship between top share and earnings management. And finally, we found no impact of CEO duality on earnings management.
Immunoinformatics
Immunoinformatics is an emerging subdiscipline of bioinformatics. It utilizes mathematics, information science, computer engineering, genomics, proteomics and immunological methods to bridge immunology and informatics. Similar to bioionformatics which became a driving force in genome research, immunoinformatics enables data-driven research strategies and systems approaches that aim at understanding the networks regulating the immune system. Considering the breath of topic, Immunoinformatics was composed to provide a cross-section of research ranging from data integration, epitope predictions to systems level applications. In ten chapters experts in the field introduce and discuss research strategies for immunologists and bioinformaticians who wish to endeavour existing and new approaches to gain insight into the workings of the immune system.
Immunogenetics of Autoimmune Disease
Utoimmunity is the downstream outcome of a rather extensive and coordinated series of events that include loss of self-tolerance, peripheral lymphocyte Aactivation, disruption of the blood-systems barriers, cellular infiltration into the target organs and local inflammation. Cytokines, adhesion molecules, growth factors, antibodies, and other molecules induce and regulate critical cell functions that perpetuate inflammation, leading to tissue injury and clinical phenotype. The nature and intensity of this response as well as the physiological ability to restore homeostasis are to a large extent conditioned by the unique amino acid sequences that define allelic variants on each of the numerous participating mol ecules. Therefore, the coding genes in their germline configuration play a primary role in determining who is at risk for developing such disorders, how the disease progresses, and how someone responds to therapy. Although genetic components in these diseases are clearly present, the lack of obvious and homogeneous modes of transmission has slowed progress by prevent ing the full exploitation of classical genetic epidemiologic techniques. Furthermore, autoimmune diseases are characterized by modest disease risk heritability and m- tifaceted interactions with environmental influences. Yet, several recent discoveries have dramatically changed our ability to examine genetic variation as it relates to human disease. In addition to the development of large-scale laboratory methods and tools to efficiently recognize and catalog DNA diversity, over the past few years there has been real progress in the application of new analytical and data-manage ment approaches
Immune mediators in cancer : Methods and protocols
Provides a comprehensive collection of classic and cutting-edge methodologies as well as bioinformatics and genome-editing approaches that are used to quantify immune mediators and analyze their function and biological activity in cancer cells and tissues. Beginning with a section on the detection of immune mediators in samples, the volume continues with sections covering cytokine bioassays, the expression and regulation of immune mediators in cancer cells, and methods to navigate the enormous datasets created by modern DNA and RNA sequencing and proteomic technology. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls.
Imaging of Soft Tissue Tumors
This book provides a comprehensive survey of the growing role of medical imaging studies in the detection, staging, grading, tissue characterization, and post-treatment follow-up of soft tissue tumors. For each tumor group, imaging findings are correlated with clinical, epidemiologic, and histologic data.
Imaging in Treatment Planning for Sinonasal Diseases
Provides both basic and advanced information on the clinical presentation, imaging findings and treatment of sinonasal diseases. For each specific disease, the rationale underlying the treatment strategy is discussed and the imaging findings critical to the decision-making process are identified. This is an original approach and reflects the constant team effort at the editors' institute over the past 15 years to integrate clinical and radiological information with the aim of establishing the most appropriate treatment. Special emphasis is placed on the identification of clinical and imaging data that allow selection of an endonasal or an external approach in surgical candidates. The value of planning an integrated endoscopic and radiological follow-up in the different diseases is also thoroughly reviewed. Through the correlation of imaging with endoscopic or clinical findings, this book will enable radiologists to familiarise themselves with the "otorhinolaryngological world" and clinicians to understand more fully the significance of specific radiological findings. It will serve as an invaluable guide to the selection of imaging techniques.
Image-Based Rendering
Image-based rendering (IBR) refers to a collection of techniques and representations that allows 3D scenes and objects to be visualized in a realistic way without full 3D model reconstruction. The potential for photorealistic visualization has tremendous appeal, especially for applications such as video games, virtual travel, and E-commerce, which stand to greatly benefit from this technology.
Image and video retrieval ; Vol. 3568 ; 4th International conference, CIVR 2005, Singapore, July 20-22, 2005, Proceedings
It was our great pleasure to host the 4th International Conference on Image and Video Retrieval (CIVR) at the National University of Singapore on 20–22 July 2005. CIVR aims to provide an international forum for the discussion of research challenges and exchange of ideas among researchers and practitioners in image/video retrieval technologies. It addresses innovative research in the broad ?eld of image and video retrieval. A unique feature of this conference is the high level of participation by researchers from both academia and industry. Another unique feature of CIVR this year was in its format – it o?ered both the traditional oral presentation sessions, as well as the short presentation cum poster sessions. The latter provided an informal alternative forum for animated discussions and exchanges of ideas among the participants.After a rigorous review process, 20 papers were accepted for oral presentations, and 42 papers were accepted for poster presentations. In addition to the accepted submitted papers, the program also included 4 invited papers, 1 keynote industrial paper, and 4 invited industrial papers. Altogether, we o?ered a diverse and interesting program, addressing the current interests and future trends in this area.
