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Building Classification Models: ID3 and C4.5 - Temple University

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.

Amortization Table - Temple University

https://cis.temple.edu/~anwar/CIS2305Spring2014/LabAssignments/LabAssignment3/loancalculator.html

A amortization schedule is a table or chart showing each payment on an amortizing loan, including how much of each payment is interest and the amount going towards the principal balance. Thankfully, there are many freely available websites and calculators that create amortization schedules automatically. The downside to this is people are less informed on the mathematical calculations involved ...

AGI Introduction - Temple University

https://cis.temple.edu/~pwang/AGI-Intro.html

Artificial General Intelligence — A gentle introduction Pei Wang [On-line document since 2007, last updated in August 2025] [中文] [Español] [This page contains information about the field of Artificial General Intelligence (AGI), collected and organized according to my judgment, though efforts are made to avoid personal biases.]

Detecting, Localizing, and Tracking an Unknown Number of Moving Targets ...

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 ...

Building Classification Models: ID3 and C4.5 - Temple University

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.

How Online Communication Platforms Facilitated Human ... - Sites

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 ...

Reinforcement Learning-based Dual-Identity Double Auction in ...

https://cis.temple.edu/~jiewu/research/publications/Publication_files/Reinforcement_Learning-based_Dual-Identity_Double_Auction_in_Personalized_Federated_Learning.pdf

Reinforcement Learning-based Dual-Identity Auction in Personalized Federated Juan Li, Member, IEEE, Zishang Chen, Tianzi Wu, Fellow, IEEE, Yanmin

Prediction of Dental Caries in Pediatric Patients Using Machine ...

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

It’s RILA Time: An Introduction to Registered Index-Linked Annuiti

https://www.fox.temple.edu/sites/fox/files/documents/Cummins%20Conference%202022/RILA_Moenig_JRI_final.pdf

Registered index-linked annuities (RILAs) are increasingly popular equity-based re-tirement savings products o ered by U.S. life insurance companies. They combine features of xed-index annuities and traditional variable annuities (TVAs), o ering in-vestors equity exposure with downside protection in a tax-deferred setting. This article introduces RILAs to the academic literature by describing ...

METABOLITES OF ARACHIDONIC ACID AND THEIR IMPLICATION IN THE ...

https://scholarshare.temple.edu/bitstreams/3fddbf6c-5dff-4f0e-9502-7839beb8c08e/download

metabolites. Retention behaviors of the lipid biomarkers were characterized by application of QSRR analysis utilizing Austin Model 1 mode semi-empirical computations. The retention data of these fatty acids were obtained from an RP-HPLC method utilizing a Symmetry C18column under gradient elution. Molecular descriptors that take into account the polarity; chemical reactivity and hydrophobicity ...