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Titlebook: Machine Learning and Its Applications; Advanced Lectures Georgios Paliouras,Vangelis Karkaletsis,Constantin Textbook 2001 Springer-Verlag B

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41#
發(fā)表于 2025-3-28 15:25:25 | 只看該作者
Case-Based Reasoninghelpful pointers to literature in the field. To do so, we first describe the CBR types and the CBR cycle, then we briefly review a representative set of systems, next we discuss the connections between CBR and learning. The main part of the chapter analyses the most important issues and problems of
42#
發(fā)表于 2025-3-28 21:49:41 | 只看該作者
Genetic Algorithms in Machine Learningtion genetics and selection. The potential solutions are encoded as ‘genes’ — strings of characters from some alphabet. New solutions can be produced by ‘mutating’ members of the current population, and by ‘mating’ two solutions together to form a new solution. The better solutions are selected to b
43#
發(fā)表于 2025-3-29 00:49:55 | 只看該作者
Model Class Selection and Construction: Beyond the Procrustean Approach to Machine Learning Applicatms of human learning. Currently the methods that were discovered in this way have been elaborated and are applied to tasks that are not performed by humans at all. For example, one of the most popular applications is the analysis of consumer data to predict buying behaviour. This has not traditional
44#
發(fā)表于 2025-3-29 06:30:49 | 只看該作者
45#
發(fā)表于 2025-3-29 07:25:57 | 只看該作者
46#
發(fā)表于 2025-3-29 12:55:34 | 只看該作者
Support Vector Machines: Theory and Applicationsed as part of the Advanced Course on Artificial Intelligence (ACAI ’99) in Chania, Greece [19]. The goal of the chapter is twofold: to present an overview of the background theory and current understanding of SVM, and to discuss the papers presented as well as the issues that arose during the worksh
47#
發(fā)表于 2025-3-29 16:34:57 | 只看該作者
48#
發(fā)表于 2025-3-29 21:25:49 | 只看該作者
Machine Learning in Human Language Technologyime in order to learn how to use them. Even modern applications with Graphical-User Interfaces (which are considered user-friendly), built-in wizards and on-line context-sensitive help, require a considerable self-training period, thus discouraging most people from fully exploiting their capabilitie
49#
發(fā)表于 2025-3-30 03:25:28 | 只看該作者
Machine Learning for Intelligent Information Accesss of multimedia documents becomes imperative. Examples of such collections are the World Wide Web, digital libraries and enterprise-wide information repositories. Machine learning offers an invaluable corpus of techniques, tools and systems that can help to solve effectively related problems, such a
50#
發(fā)表于 2025-3-30 05:46:15 | 只看該作者
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