PPT-Rocchio’s
Author : tatyana-admore | Published Date : 2016-09-06
Algorithm 1 Motivation Naïve Bayes is unusual as a learner Only one pass through data Order doesn t matter 2 Rocchios algorithm Relevance Feedback in Information
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Rocchio’s: Transcript
Algorithm 1 Motivation Naïve Bayes is unusual as a learner Only one pass through data Order doesn t matter 2 Rocchios algorithm Relevance Feedback in Information Retrieval . . Schütze. and Christina . Lioma. Lecture . 14: Vector Space Classification. 1. Overview. Recap . . Feature selection. Intro vector space classification . . Rocchio. . kNN. Linear classifiers. . Schütze. and Christina . Lioma. Lecture 9: Relevance Feedback & Query Expansion. 1. 2. Take-. away. . today. Interactive relevance feedback:. improve initial retrieval results by telling the IR system which docs are relevant / . Week . 12. LBSC 671. Creating Information Infrastructures. Machine-Assisted Indexing. Goal: Automatically suggest descriptors. Better consistency with lower cost. Approach: Rule-based expert system. Fall Concert. November 29, 2012. Greater Grace Church, 7:00 pm. Concert Reminders:. Please turn off all electronic devices. Keep in mind that tonight’s performance is being recorded professionally. Naïve Bayes is unusual as a learner:. Only one pass through data. Order . doesn. ’. t matter. Rocchio’s. . algorithm: based on TFIDF representation of documents. Store only non-zeros. in . u. (.
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