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Handbook of the Fundamentals of Financial Decision Making
This handbook in two parts covers key topics of the theory of financial decision making. Some of the papers discuss real applications or case studies as well. There are a number of new papers that have never been published before especially in Part II.Part I is concerned with Decision Making Under Uncertainty. This includes subsections on Arbitrage, Utility Theory, Risk Aversion and Static Portfolio Theory, and Stochastic Dominance. Part II is concerned with Dynamic Modeling that is the transition for static decision making to multiperiod decision making. The analysis starts with Risk Measures and then discusses Dynamic Portfolio Theory, Tactical Asset Allocation and Asset-Liability Manageme...
Genetic Algorithms in Search, Optimization, and Machine Learning
A gentle introduction to genetic algorithms. Genetic algorithms revisited: mathematical foundations. Computer implementation of a genetic algorithm. Some applications of genetic algorithms. Advanced operators and techniques in genetic search. Introduction to genetics-based machine learning. Applications of genetics-based machine learning. A look back, a glance ahead. A review of combinatorics and elementary probability. Pascal with random number generation for fortran, basic, and cobol programmers. A simple genetic algorithm (SGA) in pascal. A simple classifier system(SCS) in pascal. Partition coefficient transforms for problem-coding analysis.
Program Synthesis
Program synthesis is the task of automatically finding a program in the underlying programming language that satisfies the user intent expressed in the form of some specification. Since the inception of artificial intelligence in the 1950s, this problem has been considered the holy grail of Computer Science. Despite inherent challenges in the problem such as ambiguity of user intent and a typically enormous search space of programs, the field of program synthesis has developed many different techniques that enable program synthesis in different real-life application domains. It is now used successfully in software engineering, biological discovery, compute-raided education, end-user programm...
Behçet’s Syndrome
Behçet’s Syndrome has seen great strides over the last two decades in the availability of new treatments and the understanding of underlying pathogenesis. Only 30 years ago the majority of particularly young men with Behçet’s lost total eye sight, now only a minority do. This book covers the most recent developments in the basic and clinical aspects of Behçet’s Syndrome. International authorities have collaborated to offer their diverse expert knowledge on the multiple affected organs and systems, including the skin, the eye, the brain, the lungs and not the least the gastrointestinal and the locomotor systems. A special chapter is devoted to juvenile disease. The definitive resource on Behçet’s Syndrome, this book is well suited for rheumatologists, dermatologists, ophthalmologists, neurologists, and health professionals caring for Behçet’s patients.
Applications of Topic Models
Describes recent academic and industrial applications of topic models with the goal of launching a young researcher capable of building their own applications of topic models.
Staging Laparoscopy
Included here is a discussion of the pathophysiological aspects and risks of laparoscopic staging (such as trocar metastases) on the basis of international experience.
Speech Enhancement
We live in a noisy world! In all applications (telecommunications, hands-free communications, recording, human-machine interfaces, etc.) that require at least one microphone, the signal of interest is usually contaminated by noise and reverberation. As a result, the microphone signal has to be "cleaned" with digital signal processing tools before it is played out, transmitted, or stored. This book is about speech enhancement. Different well-known and state-of-the-art methods for noise reduction, with one or multiple microphones, are discussed. By speech enhancement, we mean not only noise reduction but also dereverberation and separation of independent signals. These topics are also covered ...
Convex Optimization
Convex optimization problems arise frequently in many different fields. This book provides a comprehensive introduction to the subject, and shows in detail how such problems can be solved numerically with great efficiency. The book begins with the basic elements of convex sets and functions, and then describes various classes of convex optimization problems. Duality and approximation techniques are then covered, as are statistical estimation techniques. Various geometrical problems are then presented, and there is detailed discussion of unconstrained and constrained minimization problems, and interior-point methods. The focus of the book is on recognizing convex optimization problems and then finding the most appropriate technique for solving them. It contains many worked examples and homework exercises and will appeal to students, researchers and practitioners in fields such as engineering, computer science, mathematics, statistics, finance and economics.
Graph-Based Semi-Supervised Learning
While labeled data is expensive to prepare, ever increasing amounts of unlabeled data is becoming widely available. In order to adapt to this phenomenon, several semi-supervised learning (SSL) algorithms, which learn from labeled as well as unlabeled data, have been developed. In a separate line of work, researchers have started to realize that graphs provide a natural way to represent data in a variety of domains. Graph-based SSL algorithms, which bring together these two lines of work, have been shown to outperform the state-of-the-art in many applications in speech processing, computer vision, natural language processing, and other areas of Artificial Intelligence. Recognizing this promis...
Economic and Business issues in Retrospect and prospect
There is a strong view that economics is the academic discipline that best represents the claim of positive science among social sciences. Economics has undergone significant transformations after its emergence as a science. Despite all these transformations, the feature containing positive and normative elements has not changed. While economists from the political economy tradition focus on qualitative studies that relate to other social sciences, especially political science and history, a group of economists adopt the qualitative methods of natural sciences to analyze economic problems. There is a debate among economists on how to understand social reality and what kind of science the eco...
