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... Heuristic (pronounced /hjʉˈrɪstɨk/, from the Greek \"Εὑρίσκω\" for \"find\" or \"discover\") is an adjective for experience-based techniques that help in problem solving, learning and discovery. Archimedes is said to have shouted \"Heureka\" (later converted to \"Eureka\") after discovering the principle of displacement in his bath. A heuristic method is used to come to a solution rapidly that is hoped to be close to the best possible answer, or \'optimal solution\'. A heuristic is a \"rule of thumb\", an educated guess, an intuitive judgment or simply common sense. A heuristic is a general way of solving a problem. Heuristics as a noun is another name for heuristic methods. ... [full article] (58 views)
This bookmark is tagged as: heuristic | problem solving
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Learning Text Patterns for Web Information Extraction and Assessment

... Learning text patterns that suggest a desired type of information is a common strategy for extracting information from unstructured text on the Web. In this paper, we introduce the idea that learned patterns can be used as both extractors (to Extractors (increase ... [full article] (72 views)
This bookmark is tagged as: heuristic | web information extraction | learning text patterns | information extraction
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... In computer science, metaheuristic designates a a computational method that optimizes a problem by iteratively trying to improve a candidate solution with regard to a given measure of quality. Metaheuristics make few or no assumptions about the problem being optimized and can search very large spaces of candidate solutions. However, metaheuristics do not guarantee an optimal solution is ever found. Many metaheuristics implement some form of stochastic optimization. ... [full article] (123 views)
This bookmark is tagged as: computer science | metaheuristic | heuristic
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