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Economics | Temple University College of Liberal Arts

https://liberalarts.temple.edu/academics/departments-and-programs/economics

The newly designed, STEM-designated PhD in Applied Economics prepares students for positions in academia, government and business. Gain skill development in advanced empirical methods that apply to fields such as industrial organization, health economics, international trade and more. Learn more about our new graduate offering!

Zhanteng Xie, Pujie Xin, and Philip Dames - Sites

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 ...

Bioinformatics and Biological Data Science PSM - Temple University

https://bulletin.temple.edu/graduate/scd/cst/bioinformatics-biological-data-science-psm/

About the Program Bioinformatics and Biological Data Science are the disciplines of science wherein computers are joined with the latest discoveries in genomics, biochemistry and biophysics. These rapidly growing fields bring together elements of biology, chemistry, computer science, physics and statistics. The Bioinformatics and Biological Data Science degree at Temple University, a leader in ...

Plus-one Programs - Klein College of Media and Communication

https://klein.temple.edu/academics/plus-one-programs

Klein College offers a pair of programs allowing students to earn their master’s degree in just one additional year.

Graphical Models - Temple University

https://cis.temple.edu/~latecki/Courses/RobotFall08/BishopBook/Pages_from_PatternRecognitionAndMachineLearning-2.pdf

Probabilities play a central role in modern pattern recognition. We have seen in Chapter 1 that probability theory can be expressed in terms of two simple equations corresponding to the sum rule and the product rule. All of the probabilistic infer-ence and learning manipulations discussed in this book, no matter how complex, amount to repeated application of these two equations. We could ...