Find missing values in data set using Euclid distance, normalization and calculating information value, weight of evidence
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Updated
Oct 15, 2018 - Python
Find missing values in data set using Euclid distance, normalization and calculating information value, weight of evidence
Finding the most similar textual documents using Case-Based Reasoning
A py3 code that implements a 2-class kNN classifier with an IB2 created case base
Research corpus for knowledge management of regulatory documents. NOT real guidance information from the IAEA. The corpus is UNDER CONSTRUCTION+++. Current version 1.0 (beta); All information on this site is just for purpose of RESEARCH. We do NOT intend to give ANY advice concerning safety in any matter. Contact: a.korger[ät]angesagt-gmbh.de
Code for paper A simple approach to case-based reasoning in knowledge bases
The diabetes-cbr program is a simulation of a case-based reasoning system for diabetes management.
Movie Recommendation System using Case-based Reasoning
[ICML 2023] Official code for our paper: 'Conditional Tree Matching for Inference-Time Adaptation of Tree Prediction Models'
A Case-Based Reasoning Graph Neural Network Approach for Drug Repositioning Task.
Clood CBR: Towards Microservices Oriented Case-Based Reasoning
Anytime Lazy kNN: A fast anytime kNN search algorithm that assesses only true kNN candidates in a lazy fashion.
A vocabulary handler used to create, retrieve, and generate vocabulary for Machine Learning algorithms.
Customizable Case-Based Reasoning (CBR) toolkit for Python with a built-in API and CLI.
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