'Nearest neighbor problem' presentation slideshows

Information Retrieval

Information Retrieval. Lecture 6. Recap of the last lecture. Parametric and field searches Zones in documents Scoring documents: zone weighting Index support for scoring tf ? idf and vector spaces. This lecture. Vector space scoring Efficiency considerations

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Information Retrieval

Information Retrieval. Lecture 6bis. Recap: tf-idf weighting. The tf-idf weight of a term is the product of its tf weight and its idf weight. Best known weighting scheme in information retrieval Increases with the number of occurrences within a document

578 views • 45 slides

Lecture 3 Nearest Neighbor Algorithms

Lecture 3 Nearest Neighbor Algorithms. Shang-Hua Teng. What is Algorithm?. A computable set of steps to achieve a desired result from a given input Example: Input: An array A of n numbers Desired result Pseudo-code of Algorithm SUM. Pseudo-code of Algorithm SUM. Complexity:

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Image Analogies

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