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

https://cis.temple.edu/~giorgio/cis587/readings/id3-c45.html

In any case, one of its values will mean failure. For example, we may have the results of measurements taken by experts on some widgets. For each widget we know what is the value for each measurement and what was decided, if to pass, scrap, or repair it.

NARS Introduction - Temple University

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

In NARS, a "term" names a "concept" that represents a recurring pattern in the system's experience, and a "statement" represents the substitutability of one term to another. Each statement is "true" to a degree, indicating the evidential support the statement gets from available evidence.

Choose QDA software - Qualitative Data Analysis and QDA Tools ...

https://guides.temple.edu/qda/choosing

This workshop is the second of the two-part workshop on five different Qualitative Data Analysis (QDA) tools – ATLAS.ti, NVivo, Dedoose, Taguette, and QualCoder. The workshop recaps essential and distinctive features demonstrated in the Part 1 recorded workshop and answered questions about the tools. The workshop discusses considerations for choosing among the five tools and provides ...

AGI Introduction - Temple University

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

Since each interpretation of "AGI" (except the naive one) has its own theoretical and practical values, they cannot replace each other, though can be compared and combined in certain situations.

Zhigen Zhao - Fox School of Business

https://www.fox.temple.edu/directory/zhigen-zhao-zhaozhg

Sarkar, S.K. & Zhao, Z. (2022). Local false discovery rate based methods for multiple testing of one-way classified hypotheses. Electronic Journal of Statistics, 16 (2). Institute of Mathematical Statistics. doi: 10.1214/22-ejs2080. Xing, X., Zhao, Z., & Liu, J.S. (2021). Controlling False Discovery Rate Using Gaussian Mirrors.

CIS587: The RETE Algorithm - Temple University

https://cis.temple.edu/~giorgio/cis587/readings/rete.html

We will consider only additions of facts. The Rete consists of the root node, of one-input pattern nodes, and of two input join nodes. The root node has as successors one-input "kind" nodes, one for each possible kind of fact (the kind of a fact is its first component).

CIS587: The Wumpus World - Temple University

https://cis.temple.edu/~ingargio/cis587/readings/wumpus.shtml

The Frame Problem is concerned with the question of what happens to the truth-value of the statements that describe the world as we go from one world to the world resulting by application of an action.

FedHAN: A Cache-Based Semi-Asynchronous Federated Learning Framework ...

https://cis.temple.edu/~jiewu/research/publications/Publication_files/FedHAN.pdf

One solution involves adjusting model parameters and adding Gaussian noise [Xie et al., 2021; Nguyen et al., 2022], which can coun-teract backdoor attacks, but may reduce model efficiency.

Introduction to Probability, Statistics and Random Processes

https://cis-linux1.temple.edu/~tug29203/25fall-2033/lectures/ch2-extra.pdf

We draw out three cards one after the other and put them on the table in the order that they appeared. Find the probability that the word “cat” will appear. All the conditions remain the same but the cards with letters are drawn simultaneously.

Introduction to Grand Rounds - Temple University

https://medicine.temple.edu/sites/medicine/files/files/PMR_presentation_skills.pdf

Read slides – speak eloquently, write telegraphically Use cute animations unless it is critical Add references to presentations Cram words and lines into one slide