https://community.mis.temple.edu/mis3537beaver2016/files/2016/04/GSCM_sim_manual.pdf
Introduction In this game, you are in charge of the product introduction of two models of mobile phones. You will manage the design, forecast the demand, and choose the production schedule for the two models over four years. Hopefully, your strategy for managing the supply chain will lead to successful commercialization of the new products.
https://cis.temple.edu/~latecki/Courses/AI-Fall10/Lectures/ch8Bayes.ppt
COMP20411 Machine Learning * Outline Background Probability Basics Probabilistic Classification Naïve Bayes Example: Play Tennis Relevant Issues Conclusions COMP20411 Machine Learning * Background There are three methods to establish a classifier a) Model a classification rule directly Examples: k-NN, decision trees, perceptron, SVM b) Model the probability of class memberships given input ...
https://tyler.temple.edu/academics
Learn how the Tyler academic experience will help you develop an agile, creative mind for current and emerging careers.
https://community.mis.temple.edu/mis2502sec001fall2025/
The exam is a closed book, closed notes. The exam will be a combination of multiple-choice and short-answer questions. Exam # 1 covers all the lectures up to “SQL 2: Getting Information Out of a Database – Advanced Queries”. We will have a review session on 9/23. Study Guide for Exam #1 (word) Study Guide for Exam #1 (ppt) Here are some practice questions, in case you want more exercise ...
https://bulletin.temple.edu/undergraduate/tourism-hospitality-management/tourism-hospitality-management-certificate/
Overview The Certificate in Tourism and Hospitality Management allows students across Temple University to enhance their major degrees with exposure to a program that prepares students for success in the hospitality industry as well as the realm of tourism. The Tourism and Hospitality Management certificate integrates foundational business principles, tourism and destination specific knowledge ...
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://sites.temple.edu/trail/files/2021/11/XieXinDamesIROS2021.pdf
Zhanteng Xie, Pujie Xin, and Philip Dames Abstract—This paper proposes a novel neural network-based control policy to enable a mobile robot to navigate safety through environments filled with both static obstacles, such as tables and chairs, and dense crowds of pedestrians. The network architecture uses early fusion to combine a short history of lidar data with kinematic data about nearby ...
https://liberalarts.temple.edu/sites/liberalarts/files/EvaluationFindings_Brief2_updatedNov2022.pdf
The KI set forth a collaborative strategy between multiple law enforcement agencies and City-based services. Extensive resources and investigative tools were utilized to build investigations over time to take down entire drug-selling groups including their leaders, while also addressing issues in the built environment surrounding the group’s area of influence. These resources came together ...
https://tuportal6.temple.edu/documents/380033/0/TechnologyAtTemple.pdf
channel that notifies you when it’s time to complete important tasks, such as registering for classes, viewing/accepting your financial aid award, paying bills or selecting your meal plan.
https://cis.temple.edu/~latecki/Papers/ACM_MM2023.pdf
ABSTRACT Image stitching aims to align a pair of images in the same view. Generating precise alignment with natural structures is challeng-ing for image stitching, as there is no wider field-of-view image as a reference, especially in non-coplanar practical scenarios. In this paper, we propose an unsupervised image stitching frame-work, breaking through the coplanar constraints in homography ...