Download or read book A Code for Classifiers written by William Stetson Merrill and published by . This book was released on 1914 with total page 274 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Classification Algorithms for Codes and Designs written by Petteri Kaski and published by Springer Science & Business Media. This book was released on 2006-02-03 with total page 415 pages. Available in PDF, EPUB and Kindle. Book excerpt: A new starting-point and a new method are requisite, to insure a complete [classi?cation of the Steiner triple systems of order 15]. This method was furnished, and its tedious and di?cult execution und- taken, by Mr. Cole. F. N. Cole, L. D. Cummings, and H. S. White (1917) [129] The history of classifying combinatorial objects is as old as the history of the objects themselves. In the mid-19th century, Kirkman, Steiner, and others became the fathers of modern combinatorics, and their work – on various objects, including (what became later known as) Steiner triple systems – led to several classi?cation results. Almost a century earlier, in 1782, Euler [180] published some results on classifying small Latin squares, but for the ?rst few steps in this direction one should actually go at least as far back as ancient Greece and the proof that there are exactly ?ve Platonic solids. One of the most remarkable achievements in the early, pre-computer era is the classi?cation of the Steiner triple systems of order 15, quoted above. An onerous task that, today, no sensible person would attempt by hand calcu- tion. Because, with the exception of occasional parameters for which com- natorial arguments are e?ective (often to prove nonexistence or uniqueness), classi?cation in general is about algorithms and computation.

Download or read book A Code for Classifiers written by William Stetson Merrill and published by . This book was released on 1914 with total page 262 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Classification written by Corinne Bacon and published by . This book was released on 1916 with total page 42 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Parallelism and Programming in Classifier Systems written by Stephanie Forrest and published by Elsevier. This book was released on 2014-06-28 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt: Parallelism and Programming in Classifier Systems deals with the computational properties of the underlying parallel machine, including computational completeness, programming and representation techniques, and efficiency of algorithms. In particular, efficient classifier system implementations of symbolic data structures and reasoning procedures are presented and analyzed in detail. The book shows how classifier systems can be used to implement a set of useful operations for the classification of knowledge in semantic networks. A subset of the KL-ONE language was chosen to demonstrate these operations. Specifically, the system performs the following tasks: (1) given the KL-ONE description of a particular semantic network, the system produces a set of production rules (classifiers) that represent the network; and (2) given the description of a new term, the system determines the proper location of the new term in the existing network. These two parts of the system are described in detail. The implementation reveals certain computational properties of classifier systems, including completeness, operations that are particularly natural and efficient, and those that are quite awkward. The book shows how high-level symbolic structures can be built up from classifier systems, and it demonstrates that the parallelism of classifier systems can be exploited to implement them efficiently. This is significant since classifier systems must construct large sophisticated models and reason about them if they are to be truly ""intelligent."" Parallel organizations are of interest to many areas of computer science, such as hardware specification, programming language design, configuration of networks of separate machines, and artificial intelligence This book concentrates on a particular type of parallel organization and a particular problem in the area of AI, but the principles that are elucidated are applicable in the wider setting of computer science.

Download or read book The Classification and Cataloging sic of Books written by Margaret Mann and published by . This book was released on 1928 with total page 478 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Ensemble Learning Pattern Classification Using Ensemble Methods Second Edition written by Lior Rokach and published by World Scientific. This book was released on 2019-02-27 with total page 301 pages. Available in PDF, EPUB and Kindle. Book excerpt: This updated compendium provides a methodical introduction with a coherent and unified repository of ensemble methods, theories, trends, challenges, and applications. More than a third of this edition comprised of new materials, highlighting descriptions of the classic methods, and extensions and novel approaches that have recently been introduced.Along with algorithmic descriptions of each method, the settings in which each method is applicable and the consequences and tradeoffs incurred by using the method is succinctly featured. R code for implementation of the algorithm is also emphasized.The unique volume provides researchers, students and practitioners in industry with a comprehensive, concise and convenient resource on ensemble learning methods.

Download or read book Library Literature written by and published by . This book was released on 1927 with total page 688 pages. Available in PDF, EPUB and Kindle. Book excerpt: "An index to library and information science".

Download or read book Bulletin of the American Library Association written by American Library Association and published by . This book was released on 1915 with total page 482 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Papers and Proceedings of the General Meeting of the American Library Association Held at written by American Library Association. General Meeting and published by . This book was released on 1911 with total page 254 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book ALA Bulletin written by American Library Association and published by . This book was released on 1915 with total page 488 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Proceedings written by American Library Association and published by . This book was released on 1911 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Papers and Proceedings written by American Library Association. Conference and published by . This book was released on 1928 with total page 1008 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Yearbook of The American Library Association written by and published by . This book was released on 1915 with total page 490 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Bibliography Library Economy 1876 1920 written by and published by . This book was released on 1927 with total page 688 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Building Cognitive Applications with IBM Watson Services Volume 4 Natural Language Classifier written by Marcelo Mota Manhaes and published by IBM Redbooks. This book was released on 2017-05-25 with total page 142 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Building Cognitive Applications with IBM Watson Services series is a seven-volume collection that introduces IBM® WatsonTM cognitive computing services. The series includes an overview of specific IBM Watson® services with their associated architectures and simple code examples. Each volume describes how you can use and implement these services in your applications through practical use cases. The series includes the following volumes: Volume 1 Getting Started, SG24-8387 Volume 2 Conversation, SG24-8394 Volume 3 Visual Recognition, SG24-8393 Volume 4 Natural Language Classifier, SG24-8391 Volume 5 Language Translator, SG24-8392 Volume 6 Speech to Text and Text to Speech, SG24-8388 Volume 7 Natural Language Understanding, SG24-8398 Whether you are a beginner or an experienced developer, this collection provides the information you need to start your research on Watson services. If your goal is to become more familiar with Watson in relation to your current environment, or if you are evaluating cognitive computing, this collection can serve as a powerful learning tool. This IBM Redbooks® publication, Volume 4, introduces the Watson Natural Language Classifier service. This service applies cognitive computing techniques to return best matching predefined classes for short text inputs such as a sentence or phrase. The book describes concepts that you need to understand to create, use and train the classifier. This book describes how to prepare training data, and create and train the classifier to connect the classes to example texts so the service can apply the classes to new inputs. It provides examples of applications that demonstrate how to use the Watson Natural Language Classifier service in practical use cases. You can develop and deploy the sample applications by following along in a step-by-step approach and using provided code snippets. Alternatively, you can download an existing Git project to more quickly deploy the application.

Download or read book Multiple Classifier Systems written by Zhi-Hua Zhou and published by Springer. This book was released on 2013-04-16 with total page 409 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 11th International Workshop on Multiple Classifier Systems, MCS 2013, held in Nanjing, China, in May 2013. The 34 revised papers presented together with two invited papers were carefully reviewed and selected from 59 submissions. The papers address issues in multiple classifier systems and ensemble methods, including pattern recognition, machine learning, neural network, data mining and statistics.