https://cis.temple.edu/~giorgio/cis587/readings/id3-c45.html
Introduction ID3 and C4.5 are algorithms introduced by Quinlan for inducing Classification Models, also called Decision Trees, from data.
https://sites.temple.edu/pdames/files/2016/07/DamesTokekarKumarISRR2015.pdf
Abstract Target tracking is a fundamental problem in robotics research and has been the subject of detailed studies over the years. In this paper, we introduce a new formulation, based on the mathematical concept of random finite sets, that allows for tracking an unknown and dynamic number of mobile targets with a team of robots. We show how to employ the Probability Hypothesis Density filter ...
https://cis.temple.edu/~ingargio/cis587/readings/id3-c45.html
Introduction ID3 and C4.5 are algorithms introduced by Quinlan for inducing Classification Models, also called Decision Trees, from data.
https://sites.temple.edu/pcrs/2023/11/12/how-online-communication-platforms-facilitated-human-trafficking-and-rethinking-the-websites-as-hosts-theory/
By Aamy Kuldip (view PDF version) I. Introduction Human trafficking is a horrific crime that involves stealing one’s freedom for profit. [1] Victims of human trafficking may be tricked or forced into providing commercial sex or illegal labor, and are often left extremely traumatized. [2] Online communication platforms, such as Facebook, Twitter, and Craigslist, enable human trafficking ...
https://cis.temple.edu/~wangp/papers.html
Selected Papers of Pei Wang All the following publications are authored by Pei Wang unless specified otherwise.
https://sites.temple.edu/bjsewall/files/2021/08/Freestone-et-al-2021-Ecology-Stronger-predation-intensity-impact-on-prey-communities-in-the-tropics.pdf
evolutionary time across the globe (Menge and Lub-chenco 1981, Albouy et al. 2019, Silvestro et al. 2020). Although evidence continues to accrue in support of the prediction that predation intensity is stronger at lower latitudes (e.g., Schemske et al. 2009, Roslin et al. 2017, Reynolds et al. 2018), debate on its generality persists (Roesti et al. 2020). Further, variation in predation ...
https://scholarshare.temple.edu/bitstreams/1c1f1a6d-0f34-4234-8b39-41d9eeb397f0/download
of machine learning (ML) versus a traditional statistical model in predicting dental caries in
https://cis.temple.edu/tagit/presentations/Hopfield%20Networks%20is%20all%20you%20need.pdf
Classical Binary Hopfield Networks More complicated, patterns like (binary) images can be learned.
https://cis-linux1.temple.edu/~latecki/Courses/AI-Fall10/Lectures/ch2.ppt
* * * * * * * * * * * * * * * * * * * * Figure 1: scatter(1:20,10+(1:20)+2*randn(1,20),'k','filled'); a=axis; a(3)=0; axis(a); * Figure 1: scatter(1:20,10+(1:20)+2 ...
https://cis.temple.edu/~qzeng/cis3207-spring18/files/ia-32-ia-64-benchmark-code-execution-paper.pdf
How to Benchmark Code Execution Times on Intel® IA-32 and IA-64 Instruction Set Architectures September 2010