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Titlebook: Machine Learning of Inductive Bias; Paul E. Utgoff Book 1986 Kluwer Academic Publishers 1986 grammar.knowledge.knowledge base.learning.mac

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發(fā)表于 2025-3-21 19:34:21 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Machine Learning of Inductive Bias
編輯Paul E. Utgoff
視頻videohttp://file.papertrans.cn/621/620708/620708.mp4
叢書名稱The Springer International Series in Engineering and Computer Science
圖書封面Titlebook: Machine Learning of Inductive Bias;  Paul E. Utgoff Book 1986 Kluwer Academic Publishers 1986 grammar.knowledge.knowledge base.learning.mac
描述This book is based on the author‘s Ph.D. dissertation[56]. The the- sis research was conducted while the author was a graduate student in the Department of Computer Science at Rutgers University. The book was pre- pared at the University of Massachusetts at Amherst where the author is currently an Assistant Professor in the Department of Computer and Infor- mation Science. Programs that learn concepts from examples are guided not only by the examples (and counterexamples) that they observe, but also by bias that determines which concept is to be considered as following best from the ob- servations. Selection of a concept represents an inductive leap because the concept then indicates the classification of instances that have not yet been observed by the learning program. Learning programs that make undesir- able inductive leaps do so due to undesirable bias. The research problem addressed here is to show how a learning program can learn a desirable inductive bias.
出版日期Book 1986
關(guān)鍵詞grammar; knowledge; knowledge base; learning; machine learning
版次1
doihttps://doi.org/10.1007/978-1-4613-2283-2
isbn_softcover978-1-4612-9408-5
isbn_ebook978-1-4613-2283-2Series ISSN 0893-3405
issn_series 0893-3405
copyrightKluwer Academic Publishers 1986
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Machine Learning of Inductive Bias978-1-4613-2283-2Series ISSN 0893-3405
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LEX and STABB,line for testing ideas and for exposing unexpected problems. This chapter describes the learning program LEX[36] and shows how STABB has been made a subsystem of LEX. With STABB, LEX can shift its bias. Chapters 5 and 6 describe the two algorithms used by STABB, each employing the RTA Method.
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The Springer International Series in Engineering and Computer Sciencehttp://image.papertrans.cn/m/image/620708.jpg
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Related Work,This chapter shows the role of bias in several well known learning programs. The first section includes those programs that do not change the bias during concept learning. The second section shows the only two programs known to the author that do change the bias during concept learning.
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Introduction,resumed to require intelligence. This work includes problem solving, game playing, theorem proving, reasoning, speech understanding, vision, natural language processing, and knowledge-based expert systems. One important dimension of this work is that some of the programs that mimic intelligence are
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LEX and STABB,line for testing ideas and for exposing unexpected problems. This chapter describes the learning program LEX[36] and shows how STABB has been made a subsystem of LEX. With STABB, LEX can shift its bias. Chapters 5 and 6 describe the two algorithms used by STABB, each employing the RTA Method.
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