Computational theories

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  • Informally, a disposition is a proposition which is preponderantly, but no necessarily always, true. For example, birds can fly is a disposition, as are the propositions Swedes are blond and Spaniards are dark. An idea which underlies the theory described in this paper is that a disposition may be viewed as a proposition with implicit fuzzy quantifiers which are approximations to all and always, e.g., almost all, almost always, most, frequently, etc. For example, birds can fly may be interpreted as the result of supressing the fuzzy quantifier most in the proposition most birds can fly. ...

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  • We will begin by describing what we mean by prose style and then introducing the generation task that lead us to this theory, the reproduction of short encyclopedia articles on African tribes. We will then use that task to outline the parts of our theory and the operations of the attachment process.

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  • Narrative passages told from a character's perspective convey the character's thoughts and perceptions. We present a discourse process that recognizes characters' thoughts and perceptions in third-person narrative. An effect of perspective on reference In narrative is addressed: references in passages told from the perspective of a character reflect the character's beliefs. An algorithm that uses the results of our discourse process to understand references w i t h respect to an appropriate set of beliefs is presented. ...

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  • In recent years,a great deal of evidence has been collected which gives substantially increased insight into the nature of human speech perception. It is the author's belief that such data can be effectively used to infer much of the structure of a practical speech recognition system. This paper details a new view of the role of structural constraints within the several structural domains (e.g. articulation, phonetics, phonology, syntax, semantics) that must be utilized to infer the desired percept. ...

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  • Lecture Theory of automata - Lecture 07 presents the following content: FA of EVEN EVEN, FA corresponding to finite languages(using both methods), transition graphs, example EVEN-EVEN, FA corresponding to finite languages, defining languages.

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  • Lecture Theory of automata - Lecture 8 presents the following content: TG definition, Examples: accepting all strings, accepting none, starting with b, not ending in b, containing aa, containing aa or bb.

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  • Lecture Theory of automata - Lecture 8 presents the following content: Proof of Kleene’s theorem part II (method with different steps), particular examples of TGs to determine corresponding Res.

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  • Lecture Theory of automata - Lecture 17 includes the following content: Converting NFA to FA (method 3), example, NFA and Kleene’s theorem method 1, examples, NFA and Kleene’s theorem method 2 , NFA corresponding to union of FAs, example.

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  • Lecture Theory of automata - Lecture 20 includes the following content: recap theorem, example, finite automaton with output, moore machine, examples.

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  • Lecture Theory of automata - Lecture 21 includes the following content: Example of moore machine, mealy machine, examples, complementing machine, incrementing machine.

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  • Lecture Theory of automata - Lecture 24 includes the following content: Regular languages, complement of a language, theorem, proof, example, intersection of two regular languages.

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  • Lecture Theory of automata - Lecture 26 includes contents: Example of nonregular language, pumping lemma version I, proof, examples.

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  • Lecture Theory of automata - Lecture 30 includes contents: Deciding whether two languages are equivalent or not, example, deciding whether an FA accept any string or not, method 3, examples, finiteness of a language.

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  • Java(TM) Network Programming and Distributed Computing is an accessible introduction to the changing face of networking theory, Java(TM) technology, and the fundamental elements of the Java networking API. With the explosive growth of the Internet, Web applications, and Web services, the majority of today's programs and applications require some form of networking. Because it was created with extensive networking features, the Java programming language is uniquely suited for network programming and distributed computing....

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  • Revised and expanded, Gear Geometry and Applied Theory, 2nd edition, covers the theory, design, geometry, and manufacture of all types of gears and gear drives. Gear Geometry and Applied Theory is an invaluable reference for designers, theoreticians, students, and manufacturers. This new edition includes advances in gear theory, gear manufacturing, and computer simulation.

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  • Tham khảo sách 'electronics theory (matlab) transistor circuits', kỹ thuật - công nghệ, điện - điện tử phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả

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  • Imagine a world in which the colors you see do not necessarily represent the correct ones. Imagine, when you approach a traffic light, you cannot tell what color the light is. Imagine the colors of traffic lights changing from one block to the next one. Could you? If you can’t, just go to your computer. In the world of visual computing, you cannot be sure what the colors will be. Even today. And today, the awareness of computer professionals to color has grown orders of magnitude.

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  • Tham khảo bài thuyết trình 'design and implementation of vlsi systems_lecture 04: mos transistor theory', kỹ thuật - công nghệ, cơ khí - chế tạo máy phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả

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  • Even since computers were invented many decades ago, many researchers have been trying to understand how human beings learn and many interesting paradigms and approaches towards emulating human learning abilities have been proposed. The ability of learning is one of the central features of human intelligence, which makes it an important ingredient in both traditional Artificial Intelligence (AI) and emerging Cognitive Science.

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  • This is an undergraduate course in digital communications, which is designed to prepare students for engineering work in high-tech industries and for graduate work in communications, signal processing, and computer systems. The course covers basic concepts and useful tools for design and performance analysis of transmitters and receivers in the physical layer of a communication system. Prerequisite: An introductory course in probability. A course in signals and systems. Texts: J.G. Proakis, M. Salehi, Communication Systems Engineering M. P. Fitz, A Course in Communication Theory Graders:...

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