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Titlebook: Machine Learning; An Artificial Intell Ryszard S. Michalski (Professor of Computer Scienc Book 1983 Springer-Verlag Berlin Heidelberg 1983

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發(fā)表于 2025-3-21 17:43:28 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Machine Learning
副標(biāo)題An Artificial Intell
編輯Ryszard S. Michalski (Professor of Computer Scienc
視頻videohttp://file.papertrans.cn/621/620374/620374.mp4
叢書名稱Symbolic Computation
圖書封面Titlebook: Machine Learning; An Artificial Intell Ryszard S. Michalski (Professor of Computer Scienc Book 1983 Springer-Verlag Berlin Heidelberg 1983
描述The ability to learn is one of the most fundamental attributes of intelligent behavior. Consequently, progress in the theory and computer modeling of learn- ing processes is of great significance to fields concerned with understanding in- telligence. Such fields include cognitive science, artificial intelligence, infor- mation science, pattern recognition, psychology, education, epistemology, philosophy, and related disciplines. The recent observance of the silver anniversary of artificial intelligence has been heralded by a surge of interest in machine learning-both in building models of human learning and in understanding how machines might be endowed with the ability to learn. This renewed interest has spawned many new research projects and resulted in an increase in related scientific activities. In the summer of 1980, the First Machine Learning Workshop was held at Carnegie-Mellon University in Pittsburgh. In the same year, three consecutive issues of the Inter- national Journal of Policy Analysis and Information Systems were specially devoted to machine learning (No. 2, 3 and 4, 1980). In the spring of 1981, a special issue of the SIGART Newsletter No. 76 reviewed current res
出版日期Book 1983
關(guān)鍵詞Lernender Automat; Mathematische Lerntheorie; artificial intelligence; behavior; cognition; epistemology;
版次1
doihttps://doi.org/10.1007/978-3-662-12405-5
isbn_softcover978-3-662-12407-9
isbn_ebook978-3-662-12405-5
copyrightSpringer-Verlag Berlin Heidelberg 1983
The information of publication is updating

書目名稱Machine Learning影響因子(影響力)




書目名稱Machine Learning影響因子(影響力)學(xué)科排名




書目名稱Machine Learning網(wǎng)絡(luò)公開(kāi)度




書目名稱Machine Learning網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書目名稱Machine Learning被引頻次




書目名稱Machine Learning被引頻次學(xué)科排名




書目名稱Machine Learning年度引用




書目名稱Machine Learning年度引用學(xué)科排名




書目名稱Machine Learning讀者反饋




書目名稱Machine Learning讀者反饋學(xué)科排名




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Why Should Machines Learn?that symposium was also learning. The difficulty with plagiarizing that paper is that it was really about psychology, whereas this book is concerned with machine learning. Now although we all believe machines can simulate human thought—unless we’re vitalists, and there aren’t any of those around any
板凳
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A Comparative Review of Selected Methods for Learning from Examplescriptions of single concepts. In particular, we examine methods for finding the maximally-specific conjunctive generalizations (MSC-generalizations) that cover all of the training examples of a given concept. Various important aspects of structural learning in general are examined, and several crite
地板
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A Theory and Methodology of Inductive Learningnference rules to the initial observational statements. The inference rules include generalization rules, which perform generalizing transformations on descriptions, and conventional truth-preserving deductive rules. The application of the inference rules to descriptions is constrained by problem ba
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Learning by Analogy: Formulating and Generalizing Plans from Past Experiencecal problem solving based on an extension to means-ends analysis. An analogical transformation process is developed to extract knowledge from past successful problem-solving situations that bear a strong similarity to the current problem. Then, the investigation focuses on exploiting and extending t
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Acquisition of Proof Skills in Geometrygeometry problem. A general control structure is proposed for integrating backward and forward search in proof planning. This is embodied in a production system framework. Two types of learning are described. . compilation is concerned. with how students transit from a declarative characterization o
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