PPT-CS276:
Author : mitsue-stanley | Published Date : 2016-11-03
Information Retrieval and Web Search Christopher Manning and Pandu Nayak Lecture 13 Support vector machines and machine learning on documents Borrows slides
Presentation Embed Code
Download Presentation
Download Presentation The PPT/PDF document "CS276:" is the property of its rightful owner. Permission is granted to download and print the materials on this website for personal, non-commercial use only, and to display it on your personal computer provided you do not modify the materials and that you retain all copyright notices contained in the materials. By downloading content from our website, you accept the terms of this agreement.
CS276:: Transcript
Information Retrieval and Web Search Christopher Manning and Pandu Nayak Lecture 13 Support vector machines and machine learning on documents Borrows slides from Ray Mooney 2 Text classification. Hugh E. Williams. hugh@hughwilliams.com. http. ://. hughewilliams.com. @. hughewilliams. Search in Industry. A few stories with practical illustrations:. Understanding users with A/B testing at scale. Checking in. . By the end of this week you need to have:. Watched the online videos corresponding to the first 6 chapters of . IIR . or/and . read chapters 1–6 of the book. Done programming assignment 1 (due Thursday). Christopher . Manning and . Pandu . Nayak. Lecture 14: Learning to Rank. Machine learning for IR ranking?. We’ve looked at methods for ranking documents in IR. Cosine similarity, inverse document frequency, . Lecture 10. Foundations of Cryptography. Today: . Constructions of Public-Key Encryption. 1: . Trapdoor Permutations (RSA). 2:. Quadratic . Residuosity. /Goldwasser-Micali. 3:. Diffie-Hellman/El Gamal.
Download Document
Here is the link to download the presentation.
"CS276:"The content belongs to its owner. You may download and print it for personal use, without modification, and keep all copyright notices. By downloading, you agree to these terms.
Related Documents
