Integrating Instance-level and Attribute-level Knowledge into Document Clustering
Jinlong Wang, Shunyao Wu, Gang Li, Zhe Wei (2011)
Computer Science and Information Systems
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Jinlong Wang, Shunyao Wu, Gang Li, Zhe Wei (2011)
Computer Science and Information Systems
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Christian Johansson, Fredrik Wernstedt, Paul Davidsson (2010)
Computer Science and Information Systems
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Jianmin Zhang, Shengyu Shen, Jun Zhang, Weixia Xu, Sikun Li (2011)
Computer Science and Information Systems
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João Lourenço, Diogo Sousa, Bruno Teixeira, Ricardo Dias (2011)
Computer Science and Information Systems
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Goran Sladić, Branko Milosavljević, Zora Konjović, Milan Vidaković (2011)
Computer Science and Information Systems
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Barbara Dunin-Kęplicz, Rineke Verbrugge, Micha l Ślizak (2010)
Computer Science and Information Systems
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Hannu Nurmi (1982)
Stochastica
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This paper deals with two ways in which uncertainty notions enter social science models: 1) They can be used in an effort to make intelligible some phenomena that would otherwise be difficult to comprehend, or 2) They can be use to generalize or modify the domain of validity of some theoretical results.
David Miller (1982)
Stochastica
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J. Matkowski, M. Sablik (1986)
Stochastica
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Equation [1] f(x+y) + f (f(x)+f(y)) = f (f(x+f(y)) + f(f(x)+y)) has been proposed by C. Alsina in the class of continuous and decreasing involutions of (0,+∞). General solution of [1] is not known yet. Nevertheless we give solutions of the following equations which may be derived from [1]: [2] f(x+1) + f (f(x)+1) = 1, [3] f(2x) + f(2f(x)) = f(2f(x + f(x))). Equation [3] leads to a Cauchy functional equation: ...
Barbara Baccheli (1986)
Stochastica
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Strengthened forms of Ling's representation theorem concerning a class of continuous associative functions are given: Firstly the monotonicity condition is removed. Then the associativity condition is replaced by the power associativity.