https://cis.temple.edu/~latecki/Courses/AI-Fall12/Lectures/NLDimRed.pdf
Linear Dimensionality Reduction: Based on a linear projection of the data
https://cis.temple.edu/~wangp/1057-PC/Lecture/Ch06.htm
Chapter 6. Pointers and Modular Programming 1. Pointers and the indirection operator An asterisk ('*') before an identifier is called an "indirection operator", which indicates that the variable contains the address of another variable. Such a variable is called a "pointer" in C. For instance, the declaration double *p makes p a "pointer variable" of type "pointer to double ", and char *signp ...
https://cis.temple.edu/tagit/presentations/Hopfield%20Networks%20is%20all%20you%20need.pdf
M. Widrich, B. Schäfl, M. Pavlovi ́c, H. Ramsauer, L. Gruber, M. Holzleitner, J. Brandstetter, G. K. Sandve, V. Greiff, S. Hochreiter, and G. Klambauer. Modern Hopfield networks and attention for immune repertoire classification. ArXiv, 2007.13505, 2020a. Image Classification (small data) An image classification problem.
https://sites.temple.edu/edvice/2021/11/24/learning-preferences-are-not-learning-styles-and-why-the-language-we-use-matters/
Claudia J. Stanny, Ph.D. Let’s begin with debunking a persistent misconception about learning: Learning styles do not exist. Moreover, matching instruction strategies to a particular learning style, such as using visuals to teach a “visual learner,” does not improve learning for that particular student (Pashler, McDaniel, Roher, & Bjork, 2009). Worse, using the wrong sensory modality for ...
https://cis.temple.edu/~tug29203/24spring-4319/lectures/ch1b-1.pdf
free (available) buffers: arriving packets dropped (loss) if no free buffers
https://cis.temple.edu/~latecki/Courses/CIS601-04/Lectures/ImSeg04.ppt
Image Segmentation Segmentation divides an image into its constituent regions or objects. Segmentation of images is a difficult task in image processing. Still under research. Segmentation allows to extract objects in images. Segmentation is unsupervised learning. Model based object extraction, e.g., template matching, is supervised learning. What it is useful for After a successful segmenting ...
https://news.temple.edu/news/2021-02-03/exploring-best-way-bring-black-children-white-families-and-communities
Temple University staff members Valerie Harrison and Kathryn Peach D’Angelo discuss “Do Right By Me,” their book about raising Black children in white spaces.
https://cis.temple.edu/~pwang/Publication/WHW-Realtime.pdf
Abstract. This paper compares the various conceptions of “real-time” in the context of AI, as different ways of taking the processing time into consideration when problems are solved. An architecture of real-time reasoning and learning is introduced, which is one aspect of the AGI system NARS. The basic idea is to form problem-solving processes flexibly and dynamically at run time by using ...
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 ...
https://cis.temple.edu/~latecki/Courses/CIS166-Spring09/Lectures/ch10.1.ppt
The tree is called a full m-ary tree if every internal vertex has exactly m children. An m-ary tree with m=2 is called a binary tree. An ordered rooted tree is a rooted tree where the children of each internal vertex are ordered. Ordered trees are drawn so that the children of each internal vertex are shown in order from left to right.