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w to represent, organize, and use much of commonsense knowledge, let alone build a machine that could learn all of that automatically on its own. As John McCarthy noted long ago: "in order for a program to be capable of learning something, it must first be able to represent that knowledge." There arc very few
ry Understanding, Memory, and Learning, Technical Report YALE/DCS(tr710, Computer Science Department. Yale University, New Haven, CT (1989). (15.) C. Dolan, Tensor Manipulation Networks: Connectionist and Symbolic Approaches to Comprehension, Learning, and Planning, Technical Report 890030, Computer Sci
w to represent, organize, and use much of commonsense knowledge, let alone build a machine that could learn all of that automatically on its own. As John McCarthy noted long ago: "in order for a program to be capable of learning something, it must first be able to represent that knowledge? There are very few
Story Understanding, Memory, and Learning, Technical Report YALVDCS4710, Computer Science Department, Yale University, New Haven, CT (1989). (15.) C. Dolan, Tensor Manipulation Networks: Connectionist and Symbolic Approaches to Comprehension, Learning, and Planning, Technical Report 890030, Computer Sci
w to represent, organize, and use much of commonsense knowledge, let alone build a machine that could learn all of that automatically on its own. As John McCarthy noted long ago: "in order for a program to be capable of learning something, it must first be able to represent that knowledge." There are very few
ry Understanding, Memory, and Learning, Technical Report YALE/DCSitr710, Computer Science Department, Yale University, New Haven, CT (1989). (15.) C. Dolan, Tensor Manipulation Networks: Connectionist and Symbolic Approaches to Comprehension, Learning, and Planning, Technical Report 890030, Computer Sci
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