Search Keywords

Results Restricted To:

https://www.temple.edu

Total Results: 25

Building Java Programs Chapter 1 - cis.temple.edu

https://cis.temple.edu/~jfiore/2024/fall/1068/handouts/ch01/ch01_basic_java_programs.pdf

What is programming? program: A set of instructions to be carried out by a computer.

Graph Theory - Temple University

https://cis.temple.edu/~latecki/Courses/CIS166-05/Lectures/graph.ppt

Topics in enumeration; principle of inclusion and exclusion, Partial orders and lattices. Algorithmic complexity; recurrence relations, Graph theory.

TEMPLE UNIVERSITY

https://secretary.temple.edu/sites/secretary/files/policies/03.70.12.pdf

Temple University Student Government has adopted a unity statement that reflects the values of the diverse Temple community, by which all students are expected to abide. “As Temple Owls, we respect all members of our university and local community regardless of: race, ethnicity, sex, gender, identity, sexual orientation, age, religion, socioeconomic status, veteran status, political ...

Discrete Structures - CSIS121 - Temple University

https://cis.temple.edu/~latecki/Courses/CIS2166-Fall23/Lectures/ch10.6.ppt

* * * * * * * * * * * * * * * * * * * * * * * * * Weighted Graphs Graphs that have a number assigned to each edge are called weighted graphs. SF LA DEN CHI ATL MIA BOS NY Weighted Graphs SF LA DEN CHI ATL MIA BOS NY MILES 2534 1855 957 834 349 2451 908 722 860 606 760 191 1090 595 Weighted Graphs SF LA DEN CHI ATL MIA BOS NY FARES $129 $99 $79 $59 $89 $69 $129 $89 $39 $99 $79 $69 $39 Weighted ...

An introduction to Support Vector Machines

https://cis-linux1.temple.edu/~latecki/Courses/AI-Fall11/Lectures/ch5SVM.ppt

Outline What do we mean with classification, why is it useful Machine learning- basic concept Support Vector Machines (SVM) Linear SVM – basic terminology and some formulas Non-linear SVM – the Kernel trick An example: Predicting protein subcellular location with SVM Performance measurments Classification Everyday, all the time we classify things. Eg crossing the street: Is there a car ...