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Equivalence Classes

Equivalence Classes

Equivalence Classes. Ps625 Concept Formation Dr. Ken Reeve Caldwell College Grad ABA Programs. Definition. a finite group of physically disparate stimuli (no perceptual similarity)

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675 views • 55 slides
Consistency and Replication

Consistency and Replication

Consistency and Replication. Chapter 6. Part I Consistency Models. Reasons for Replication. Reliability: Mask failures Mask corrupted data Performance: Scalability (size and geographical) Examples: Web caching Horizontal server distribution Object distribution.

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621 views • 46 slides
???

???

???. ????????. 2.1 ?????. ? 2.2. 2.2 ????. Example. ???? U = {1, 2, 3, 4, 5, 6, 7} ? U ???? C = {1, 2, 3, 6} ??? U ???? P ( U ) ????? R ?? : ? A , B ? P ( U ) ? A R B ???? A ? C = B ? C . {1, 2, 4, 5} ? {1, 2, 5, 7} ???? R ???? {1, 2, 4, 5}?C = {1, 2} = {1, 2, 5, 7}?C .

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589 views • 46 slides
Relations

Relations

Relations. CSC-2259 Discrete Structures. Relations and Their Properties. A binary relation from set to is a subset of Cartesian product. Example:. A relation:. A relation on set is a subset of. Example:. A relation on set :.

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878 views • 38 slides
Relations

Relations

Relations. CSC-2259 Discrete Structures. Relations and Their Properties. A binary relation from set to is a subset of Cartesian product. Example:. A relation:. A relation on set is a subset of. Example:. A relation on set :.

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385 views • 38 slides
Ontology-based Representation and Reasoning about the History of Science

Ontology-based Representation and Reasoning about the History of Science

Ontology-based Representation and Reasoning about the History of Science. Ilaria Corda Msc by research student School of Computing University of Leeds Supervisors: Dr. Vania Dimitrova Dr. Brandon Bennett. Ontology-based Representation and Reasoning about the History of Science. Outline.

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420 views • 29 slides
Chapter 4 Fuzzy Graph and Fuzzy relation

Chapter 4 Fuzzy Graph and Fuzzy relation

Chapter 4 Fuzzy Graph and Fuzzy relation. 4.1.1 Graph and Fuzzy Graph. Graph G ? ( V , E ) V : Set of vertices(node or element) E : Set of edges An edge is pair ( x , y ) of vertices in V. Fuzzy Graph V : set of vertices E : fuzzy set of edges between vertices.

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422 views • 20 slides
De La Salle University College of Engineering Electronics and Communications Engineering and

De La Salle University College of Engineering Electronics and Communications Engineering and

De La Salle University College of Engineering Electronics and Communications Engineering and Computer Engineering Department Discrete Mathematics and its Applications (DISMATH). Closure of Relations. The relation R = {(1, 1), (1, 2), (2, 1), (3, 2)} on

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374 views • 18 slides
Chapter 3 Review

Chapter 3 Review

Chapter 3 Review. MATH130 Heidi Burgiel. Relation. A relation R from X to Y is any subset of X x Y The matrix of a Relation R is a matrix that has a 1 in row x and column y whenever xRy (if (x, y) is in R) and otherwise has a 0 in row x, column y. Example.

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173 views • 11 slides
Chapter 3 Review

Chapter 3 Review

Chapter 3 Review. MATH130 Heidi Burgiel. Relation. A relation R from X to Y is any subset of X x Y The matrix of a Relation R is a matrix that has a 1 in row x and column y whenever xRy (if (x, y) is in R) and otherwise has a 0 in row x, column y. Example.

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114 views • 11 slides

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