https://cis.temple.edu/~wangp/5603-AI/Project/2022S/pattersonblaker/Ward_Patterson_Final_Report.pdf
1 Abstract Minecraft has been the focus of much AI research in past years. Most recently, interest has risen in procedural generation of settlements in Minecraft, largely due to a annual competition established in 2018 called the Generative Design in Minecraft Competition. Inspired by this recent research, we aim to develop a set of algorithms that are capable of building a realistic ...
https://sites.temple.edu/dwolf/files/2020/06/Plato-on-Pain.pdf
In various passages of his corpus Plato’s dramatic characters discuss pain. With respect to what pain is, including what kinds of pain there are, the most incisive discussions occur at Republic 583-587, Philebus 31-55, and Timaeus 64-65.1 The foci of these passages dif-fer from one another and do so in several ways. First the Republic and Philebus passages focus on pleasure. However Plato ...
https://sites.temple.edu/pdames/files/2019/03/ChungEtAlTRO2018.pdf
Abstract—The use of aerial swarms to solve real-world prob-lems has been increasing steadily, accompanied by falling prices and improving performance of communication, sensing, and pro-cessing hardware. The commoditization of hardware has reduced unit costs, thereby lowering the barriers to entry to the field of aerial swarm robotics. A key enabling technology for swarms is the family of ...
https://studentsuccess.temple.edu/sites/studentsuccess/files/PronunciationHandoutsforCPs.pdf
Why learn the phonetic alphabet? You can use this packet (and most pronunciation resources) without learning the phonetic alphabet. However, the phonetic alphabet is beneficial when learning English. It offers a consistent way to know how a word is pronounced even if the spelling isn’t phonetic. It is a universal system for understanding pronunciation. For example, if we know the phonetic ...
https://community.mis.temple.edu/mis5208sp18/files/2018/01/tufte-powerpoint.pdf
*In their final report (p. 191), the Columbia Accident Investigation Board developed this point about units of measurement: "While such inconsistencies might seem minor, in highly technical fields like aerospace engineering a misplaced decimal point or mistaken unit of measurement can easily engender inconsisten-cies and inaccuracies."
https://cis.temple.edu/~wu/research/publications/Publication_files/Joint%20Dynamic%20Grouping%20and%20Gradient%20Coding%20for%20Time-critical%20Distributed%20Machine%20Learning%20in%20Heterogeneous%20Edge%20Networks-FINAL-VERSION.pdf
Abstract—In edge networks, distributed computing resources have been widely utilized to collaboratively perform a machine learning task by multiple nodes. However, the model training time in heterogeneous edge networks is becoming longer because of excessive computation and delay caused by slow nodes, namely stragglers. The parameter server even abandons stragglers which fail to return ...
https://ronlevygroup.cst.temple.edu/courses/2016_fall/biost5312/lectures/biostat_lecture_06.pdf
p-value: Pr(t > t(obs)jH0), the probability of obtaining a test statistic as extreme as or more extreme than the actual test statistic value, given that H0 is true.
https://cis.temple.edu/~latecki/Papers/SDM09_Final.pdf
Outlier detection techniques can be categorized into several groups: (1) statistical or distribution-based ap-proaches; (2) geometric-based approaches; (3) pro ̄ling methods; and (4) model-based approaches. In statisti-cal techniques [2, 3], the data points are typically mod-eled using a data distribution, and points are labeled as outliers depending on their relationship with the dis ...
https://cis.temple.edu/~latecki/Courses/Math3033-Fall09/DekkingBook07/DekkingBook_c2.pdf
Outcomes, events, and probability The world around us is full of phenomena we perceive as random or unpre-dictable. We aim to model these phenomena as outcomes of some experiment, where you should think of experiment in a very general sense. The outcomes are elements of a sample space Ω, and subsets of Ω are called events.The events will be assigned a probability, a number between 0 and 1 ...
https://www.cla.temple.edu/RePEc/documents/DETU_18_04.pdf
Di erence-in-Di erences (DID) is one of the most important and popular designs for eval-uating causal e ects of policy changes. In its standard format, there are two time periods and two groups: in the rst period no one is treated, and in the second period a \treatment group" becomes treated, whereas a \control group" remains untreated. However, many em-pirical applications of the DID design ...