Partially ordered set

Results: 111



#Item
41Non-Wellfounded Mereology  Abstract This paper is a systematic exploration of non-wellfounded mereology. Motivations and applications suggested in the literature are considered. Some are exotic like Borges’ Aleph, and

Non-Wellfounded Mereology Abstract This paper is a systematic exploration of non-wellfounded mereology. Motivations and applications suggested in the literature are considered. Some are exotic like Borges’ Aleph, and

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Source URL: www-bcf.usc.edu

Language: English - Date: 2013-01-18 11:48:07
42Event Spaces and Their Linear Logic Vaughan Pratt Computer Sci. Dept., Stanford, CA 94305, USA [removed] April 25, 1991

Event Spaces and Their Linear Logic Vaughan Pratt Computer Sci. Dept., Stanford, CA 94305, USA [removed] April 25, 1991

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Source URL: boole.stanford.edu

Language: English - Date: 2005-01-08 11:05:21
43A Work-Efficient Parallel Breadth-First Search Algorithm (or How to Cope with the Nondeterminism of Reducers) Charles E. Leiserson Tao B. Schardl MIT Computer Science and Artificial Intelligence Laboratory 32 Vassar Stre

A Work-Efficient Parallel Breadth-First Search Algorithm (or How to Cope with the Nondeterminism of Reducers) Charles E. Leiserson Tao B. Schardl MIT Computer Science and Artificial Intelligence Laboratory 32 Vassar Stre

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Source URL: supertech.csail.mit.edu

Language: English - Date: 2014-09-16 08:27:50
44Virtual Laboratories > 0. Foundations >[removed][removed]Sets Set theory is the foundation of probability and statistics, as it is for almost every branch of mathematics.  Sets and subsets

Virtual Laboratories > 0. Foundations >[removed][removed]Sets Set theory is the foundation of probability and statistics, as it is for almost every branch of mathematics. Sets and subsets

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Source URL: www.math.uah.edu

Language: English - Date: 2014-07-11 06:44:36
45Finding Partial Orders from Unordered 0-1 Data Antti Ukkonen Mikael Fortelius  Heikki Mannila

Finding Partial Orders from Unordered 0-1 Data Antti Ukkonen Mikael Fortelius Heikki Mannila

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Source URL: www.helsinki.fi

Language: English - Date: 2010-03-17 09:48:37
46

PDF Document

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Source URL: research.microsoft.com

Language: English - Date: 2009-07-21 19:18:57
47Virtual Laboratories > 0. Foundations >[removed][removed]Relations Definitions Suppose that S and T are sets. A relation from S to T is a subset of the product set S × T . As the name suggests, a relation

Virtual Laboratories > 0. Foundations >[removed][removed]Relations Definitions Suppose that S and T are sets. A relation from S to T is a subset of the product set S × T . As the name suggests, a relation

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Source URL: www.math.uah.edu

Language: English - Date: 2014-07-11 06:44:33
48Virtual Laboratories > 0. Foundations >[removed][removed]Equivalence Relations Basic Theory Definitions 1. A relation ≈ on a nonempty set S that is reflexive, symmetric, and transitive is said to be an equiv

Virtual Laboratories > 0. Foundations >[removed][removed]Equivalence Relations Basic Theory Definitions 1. A relation ≈ on a nonempty set S that is reflexive, symmetric, and transitive is said to be an equiv

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Source URL: www.math.uah.edu

Language: English - Date: 2014-07-11 06:44:30
49Accepted for presentation at the IEEE International Conference on Big Data[removed]IEEE BigData[removed]draft material -- please do not cite MaPLE: A MapReduce Pipeline for Lattice-based Evaluation and Its Application to SN

Accepted for presentation at the IEEE International Conference on Big Data[removed]IEEE BigData[removed]draft material -- please do not cite MaPLE: A MapReduce Pipeline for Lattice-based Evaluation and Its Application to SN

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Source URL: mor.nlm.nih.gov

Language: English - Date: 2014-09-16 14:23:17
50Using Association Rules for Fraud Detection in Web Advertising Networks ∗ Ahmed Metwally Divyakant Agrawal

Using Association Rules for Fraud Detection in Web Advertising Networks ∗ Ahmed Metwally Divyakant Agrawal

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Source URL: www.vldb2005.org

Language: English - Date: 2005-08-02 11:14:28