This project is all about implementing two of the most popular rank aggregation algorithms, Markov Chain Type 4 or MC4 and MCT. In the field of Machine Learning and many other scientific problems, ...

Everybody is about algorithmic processes and feed manipulation, but is that really new? What if the algorithm powering your Google search results and the predictive text on your phone originated from ...

When the Witness Is an Algorithm: The Use of AI-Generated Avatars in Court Dana Heitz reviews a criminal case out of Arizona involving AI-generated evidence. She sets out some ethical considerations ...

Pull requests help you collaborate on code with other people. As pull requests are created, they’ll appear here in a searchable and filterable list. To get started, you should create a pull request.

ABSTRACT: Forests are facing several challenges related to forest deforestation mostly due to the actions of man. The study used a CA-Markov model to examine land use/land cover dynamics from 1986 to ...

In Section 3.5.2, we obtain the generator matrix of an approximate background process , . In this section, we derive the generator matrix of the 1D Markov chain reduced from the FB process by ...

ABSTRACT: Significant land-use changes in North Dakota have been reported and are widespread over the entire state. Such changing patterns may portend localized impairment to agricultural watersheds.

Abstract: This paper presents a new method to synthesize safe reversible Markov chains via classical Metropolis-Hastings (M-H) algorithm. Classical M-H algorithm does not impose safety constraints on ...

Abstract: This article presents a mobility prediction method for mobile phone users based on an enhanced Markov Chain algorithm. The mobile phone data has a highly dynamic nature and a sparcely ...