The code for our newly accepted paper in MICCAI 2023: "Instructive Feature Enhancement for Dichotomous Medical Image Segmentation."
-
Updated
Aug 3, 2023 - Python
The code for our newly accepted paper in MICCAI 2023: "Instructive Feature Enhancement for Dichotomous Medical Image Segmentation."
This is the official implementation of the paper namely Real-Time Anomaly Detection and Feature Analysis Based on Time Series for Surveillance Video.
Sort & Slice: A Simple and Superior Alternative to Hash-Based Folding for Extended-Connectivity Fingerprints (ECFPs)
A wordle solver by maximizing information gain vs playing heuristically with character frequencies
This is an application designed in HTML5/Javascript of a scanner that makes a comparison between two methods, namely between Shanon entropy (Information entropy) and self-sequence alignment (Information content). Information entropy (IE) and Information content (IC) are two methods that quantitatively measure information.
Experimental classification algorithms on german credit data implemented using scikit-learn library
A small suite of functions for calculating information entropy based measurements.
A sensitivity toolbox that is tailored to the design process in the presence of uncertainties
Entropy-Optimized Wordle Solver inspired by 3Blue1Brown's Modern Information Theory Video.
词典(dict),正向最⼤匹配(forward maximum matching),逆向最⼤匹配(backward maximum matching),信息熵(information entropy)。
decision trees made easy
This is a Decision Tree implementation with Python which uses information gain to split attributes. It does not use any ML library.
Code developed for CSE 515 Multimedia Web Databases
Add a description, image, and links to the information-entropy topic page so that developers can more easily learn about it.
To associate your repository with the information-entropy topic, visit your repo's landing page and select "manage topics."