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This is now my third short subject book (Approx. 4,472 words in length), regarding a negative publishing experience I have had on the world wide web, that I was eventually able to glean positive things from. While I have written about other similar experiences in past books, this is my first time for relating this particular one. I will not be referring to any websites by name, as I provide some details regarding my experience. There are many writers for content websites and those who are publishing their self-authored eBooks who have at-times, experienced the bad side of dealing with online business entities, just as I have. For many, this results in them putting a halt to their efforts in attempting to publish successfully because they literally feel as if they have hit a wall that hinders their ability to grow as aspiring writers. This is especially true when they have several bad experiences with e-commerce publishing companies, which can leave them with a bad impression in-general, toward businesses that are within this field. It is my opinion, that just about any negative online experience in publishing, can present positive possibilities and certainly not all publishing opportunities are potentially negative because many have great potential and are offered by highly ethical companies. With this said, it sometimes requires honest-but-shrewd thinking and a determination to move forward regardless of any setbacks that might be experienced by developing authors. Much of what I relate within the headings of this book, is in regard to a content website I previously wrote for that is actually reputable and that does display a high level of online quality. My experience with the site CEO/owner, does not necessarily detract from the aspects they have gained toward positive online presence. It does however, demonstrate the fact that authors/writers who contribute to them, are not always recognized for the essential part they may play in building and sustaining their visitor-traffic via their published articles. When content contributors recognize a downward trend in treatment from the administration of websites they enter into contract with, they should seriously consider taking some degree of action to overcome it, as an obstacle to their own growth as authors. Over time, this can make a difference within the field of content websites in-general, who should be willing to offer contracts/agreements that are reasonably beneficial to writers and treatment toward them that is reasonably fair for their hard work. Certainly content websites should also protect their own interests and should be recognized for having the authority to correct their contract contributors and to also reprimand them when it becomes necessary. If such a relationship becomes unreasonably imbalanced in the favor of either party, the slighted party should be prepared to seek resolution to the problem. In-short, I believe it is important for sincere writers to move forward from negative experiences they may have in regard to online publishing, which is the subject of this book. It is my sincere hope that the personal experience I relate within the headings that follow and the advice I add to my related experience, will offer a bit of positive inspiration to my fellow online publishers, who are simply seeking to enter into honest relationships with ethical e-commerce companies. HEADINGS: 1. My First Experience as an Editor for a High Traffic Website 2. A Misspelling in the Same Article that Granted Me Editorship 3. A Legitimate Correction Request with an Insulting Attitude 4. When Unnecessary Venting Takes Over Professional Etiquette 5. Basic Standards in Business Practice are Obvious (No Surveys Required) 6. The Apple Doesn't Fall Far from the Tree 7. The Dark Cloud with the Silver Lining 8. Things I Recommend for Aspiring Authors Considering Content Website Work
This book provides a compilation of mathematical-computational tools that are used to analyze experimental data. The techniques presented are those that have been most widely and successfully applied to the analysis of physiological systems, and address issues such as randomness, determinism, dimension, and nonlinearity. In addition to bringing together the most useful methods, sufficient mathematical background is provided to enable non-specialists to understand and apply the computational techniques. Thus, the material will be useful to life-science investigators on several levels, from physiologists to bioengineer.Initial chapters present background material on dynamic systems, statistics, and linear system analysis. Each computational technique is demonstrated with examples drawn from physiology, and several chapters present case studies from oculomotor control, neuroscience, cardiology, psychology, and epidemiology. Throughout the text, historical notes give a sense of the development of the field and provide a perspective on how the techniques were developed and where they might lead. The overall approach is based largely on the analysis of trajectories in the state space, with emphasis on time-delay reconstruction of state-space trajectories. The goal of the book is to enable readers to apply these methods to their own research.
This book describes how competition between plant species, and succession in plant ecosystems, operate in grasslands and grazed pastures, both natural and sown. It discusses how competition both affects botanical structure, productivity and persistence of pastures and is itself regulated by biological, environmental and management factors, such as grazing animals. The book also examines the ways in which competition and succession are analyzed, evaluated and measured, and brings to the agricultural arena the considerable progress made in understanding the principles of competition from theoretical and experimental ecology.
Rule-basedevolutionaryonlinelearningsystems,oftenreferredtoasMichig- style learning classi?er systems (LCSs), were proposed nearly thirty years ago (Holland, 1976; Holland, 1977) originally calling them cognitive systems. LCSs combine the strength of reinforcement learning with the generali- tion capabilities of genetic algorithms promising a ?exible, online general- ing, solely reinforcement dependent learning system. However, despite several initial successful applications of LCSs and their interesting relations with a- mal learning and cognition, understanding of the systems remained somewhat obscured. Questions concerning learning complexity or convergence remained unanswered. Performance in di?erent problem types, problem structures, c- ceptspaces,andhypothesisspacesstayednearlyunpredictable. Thisbookhas the following three major objectives: (1) to establish a facetwise theory - proachforLCSsthatpromotessystemanalysis,understanding,anddesign;(2) to analyze, evaluate, and enhance the XCS classi?er system (Wilson, 1995) by the means of the facetwise approach establishing a fundamental XCS learning theory; (3) to identify both the major advantages of an LCS-based learning approach as well as the most promising potential application areas. Achieving these three objectives leads to a rigorous understanding of LCS functioning that enables the successful application of LCSs to diverse problem types and problem domains. The quantitative analysis of XCS shows that the inter- tive, evolutionary-based online learning mechanism works machine learning competitively yielding a low-order polynomial learning complexity. Moreover, the facetwise analysis approach facilitates the successful design of more - vanced LCSs including Holland's originally envisioned cognitive systems. Martin V.
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