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

APL

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)公開度




書目名稱Machine Learning網(wǎng)絡(luò)公開度學(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

努力趕上

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

agonist

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

畫布

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

Demulcent

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

Gerontology

frozen-shoulder

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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