Artificial IntelligenceMcGraw-Hill, 1991 - 621 páginas |
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Página 464
... Concept " Japanese economy car " economy car . Now the learning problem is : Given a representation language such as in Figure 17.8 , and given positive and negative training examples such as those in Figure 17.7 , how can we produce a ...
... Concept " Japanese economy car " economy car . Now the learning problem is : Given a representation language such as in Figure 17.8 , and given positive and negative training examples such as those in Figure 17.7 , how can we produce a ...
Página 469
... concept from the version space prematurely . In the car example above , if the third training instance had been mislabeled ( - ) instead of ( + ) , the target concept of " Japanese economy car " would never be reached . Also , given ...
... concept from the version space prematurely . In the car example above , if the third training instance had been mislabeled ( - ) instead of ( + ) , the target concept of " Japanese economy car " would never be reached . Also , given ...
Página 477
... concept representing the set of composite numbers . Then the second heuristic suggests creating a concept representing the complement of that , namely the set of prime numbers . Two major questions came out of the work on AM . One ...
... concept representing the set of composite numbers . Then the second heuristic suggests creating a concept representing the complement of that , namely the set of prime numbers . Two major questions came out of the work on AM . One ...
Contenido
Weak SlotandFiller Structures | 9 |
6 | 24 |
Heuristic Search Techniques | 63 |
Derechos de autor | |
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Términos y frases comunes
Abbott algorithm answer apply approach Artificial Intelligence assertions attributes axioms backpropagation backtracking backward backward reasoning belief best-first search breadth-first search Cabot Caesar Chapter clauses concept consider constraints contains contexts contradiction corresponding define depth-first depth-first search described discussed domain example explicitly fact given goal graph heuristic heuristic function Horn clauses important inference inheritance input instance interpretation justification knowledge base knowledge representation labeled learning logical assertions Marcus match move MYCIN node nonmonotonic reasoning object operators particular path perceptron possible preconditions predicate logic problem problem-solving procedure produce production system PROLOG propagation propositional logic question represent resolution result robot rules Section semantic semantic net sentence shown in Figure simple slot solution solve space specific statements step strategy structure Suppose suspect syntactic task techniques theorem things tree true truth maintenance system variables wff's