Northwestern University

Parent Unit Name

Login

LIBRARIES | ARCH

Menu Search

Start Over

Filtering by: Keyword Determinantal Point Process Keyword Linear Programming Keyword Potts Model Keyword Streaming Algorithms

1 entry found

List Gallery Masonry Slideshow

Bv73c0933?file=thumbnail

1. On MAP Inference of Ferromagnetic Potts Models and Nonsymmetric Determinantal Point Processes

Description:: In the Maximum-a-Posteriori (MAP) Inference problem, for any given probability distribution, the goal is to find the point in the support of that distribution with the highest probability. Potts models and Determinantal Point Processes (DPPs) are probabilistic models that were introduced in the context of statistical physics several decades ago....
Keyword:: MAP Inference, Potts Model, Determinantal Point Process, Linear Programming, Streaming Algorithms, and Online Algorithms
Subject:: Statistics and Computer science
Creator:: Talla, Aravind Reddy
Owner:: Scholarly Digital Publishing
Language:: en
Date Uploaded:: 05/31/2023
Date Created:: 2023-01-01
Resource Type:: Dissertation
Alternate Identifier:: http://dissertations.umi.com/northwestern:16561 and etdadmin_upload_985524