Jeffrey C. Schlimmer and Pat Langley. Learning, Machine. In Stuart Shapiro and David Eckroth, editors, The Encyclopedia of Artificial Intelligence, pages 785-- 805. Wiley-Interscience, 2nd edition, 1992. Home/Search Document Not in Database Summary Related Articles Check |
This paper is cited in the following contexts:
MLC++: A Machine Learning Library in C++ - Kohavi, John, Long, Manley.. (1994) (14 citations) (Correct)
....paper we discuss the problems MLC aims to solve, the design of MLC , and the current functionality. 1 Introduction Newton said he saw farther because he stood on the shoulders of giants. Computer programmers stand on each other s toes James Coggins [5] In supervised machine learning [18, 2], one tries to find a rule (a categorizer) that can be used to accurately predict the class label of novel instances. During the last decade, the machine learning community has developed a plethora of algorithms for this task. Many researchers have implemented similar algorithms in isolation, ....
Jeffrey C. Schlimmer and Pat Langley. Learning, Machine. In Stuart Shapiro and David Eckroth, editors, The Encyclopedia of Artificial Intelligence, pages 785-- 805. Wiley-Interscience, 2nd edition, 1992.
MLC++: A Machine Learning Library in C++ - Kohavi, John, Long, Manley.. (1994) (14 citations) (Correct)
....1 Introduction Published in IEEE Conference on Tools with Artificial Intelligence, New Orleans, November 1994, pp. 740 743 Newton said he saw farther because he stood on the shoulders of giants. Computer programmers stand on each other s toes James Coggins In supervised machine learning [13, 2], one tries to find a rule (a categorizer) that can be used to accurately predict the class label of novel instances. During the last decade, the machine learning community has developed a plethora of algorithms for this task. Many researchers have implemented similar algorithms in isolation, ....
Jeffrey C. Schlimmer and Pat Langley. Learning, Machine. In Stuart Shapiro and David Eckroth, editors, The Encyclopedia of Artificial Intelligence, pages 785-- 805. Wiley-Interscience, 2nd edition, 1992.
MLC++: A Machine Learning Library in C++ - Kohavi, John, Long, Manley.. (1994) (14 citations) (Correct)
....is an attempt to extract commonalities of algorithms and decompose them for a unified view that is simple, coherent, and extensible. In this paper we discuss the problems MLC aims to solve, the design of MLC , and the current functionality. 1 Introduction In supervised machine learning [SL92, Ang92, Val84, AS83] one tries to find a rule (a categorizer) that can be used to accurately predict the class label of novel instances. During the last decade, the machine learning community has witnessed a plethora of algorithms for this task. Regrettably, there is no clear understanding of ....
....in [Tur50] already recognized that learning can be viewed as a type of search when he wrote The learning process may be regarded as a search for a form of behavior which will satisfy the teacher. While many researchers noted that learning can be viewed as search through the space of hypotheses [SL92, Bun90, Mit82] most algorithms couple the search and the bias of the algorithm. ID3 [Qui86] and many variants are searching for a small tree, guided by the heuristic that splits lowering the entropy should yield small trees. One problem is that since there is no backtracking, decisions cannot ....
Jeffrey C. Schlimmer and Pat Langley. Learning, machine. In Stuart Shapiro and David Eckroth, editors, The Encyclopedia of Artificial Intelligence, pages 785--805. Wiley-Interscience, 2nd edition, 1992.
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