Educational Web
About
Recently Visited Slides
Courses
Cs 173
Cs 225
Cs 410
Cs 510
Chem 101
Chem 102B
Chem 104B
Ece 101
Ece 428
Ece 486
Ece220
Math220
Math285
Math347
Math 415
Phys101
Phys102
Phys212
Phys214
Phys406
Lectures
L2R
Neural Lm
Course Format
Dist Sem
Hmm
Infotheory
Lda
Lm Ir 2022
Mixture Lm Corrected
N Gram
Optimizing Research
Probstat
Slm
Topic Overview
Feedback
CS 173
CS 225
CS 410
CS 510
Chem 101
Chem 102B
Chem 104B
ECE 101
ECE 428
ECE 486
ECE220
MATH220
MATH285
MATH347
Math 415
PHYS101
PHYS102
PHYS212
PHYS214
PHYS406
X
To find explanations of any text on the slide, please highlight it (click and hold, then drag your mouse) and then click on the explain button.
Sorry, no results found.
Cs 510
Cs 510 Lm-Ir-2022 Slide25
This Lecture
All Lectures in CS 510
Related slides
Cs 410 : 01 Lesson 4 1 Probabilistic Retrieval Model Basic Idea 4.1 Probabilistic Retrieval Model Basic Idea Slide2
Cs 410 : 03 Lesson 5 3 Feedback In Text Retrieval Feedback In Lm 5.3 Feedback In Language Models For Retrieval Slide3
Cs 410 : 06 Lesson 4 6 Smoothing Methods Part 1 4.6 Smoothing Methods Jelinek Mercer And Dirichlet Prior Slide2
Cs 410 : 07 Lesson 4 7 Smoothing Methods Part 2 4.7 Smoothing Methods Jelinek Mercer And Dirichlet Prior Slide5
Cs 410 : 04 Lesson 1 4 Overview Of Text Retrieval Methods 1.4 Tr Overview Text Retrieval Methods Slide3
Cs 410 : 03 Lesson 4 3 Query Likelihood Retrieval Function 4.3 Query Likelihood Retrieval Function Slide8
Cs 410 : 01 Lesson 6 1 Learning To Rank Part 1 Optional 6.1 Learning To Rank Slide3
Cs 410 : 04 Lesson 4 4 Statistical Language Model Part 1 4.4 Smoothing Of Language Model Slide2
Cs 510 : L2R Slide62
Cs 410 : 05 Lesson 1 5 Vector Space Model Basic Idea 1.5 Tr Vector Space Model Basic Idea Slide2