A Rigorous Sampling-Based Approach for Sequential Pattern Mining
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Updated
Jun 30, 2018 - Java
A Rigorous Sampling-Based Approach for Sequential Pattern Mining
A simple utility to perform sampling from multivariate distributions (supported by a PyTorch backend)
This repo contain ressources of the course UP2
Optimal control solution for conditioning of a random walk with exponentially distributed jump size in a cylinder
Create the covariate-adjusted Kaplan-Meier and cumulative incidence functions
Group Project for the USTH Machine Learning 2 Course 2023
Implementation of active learning sampler
Statistical analysis to determine how video game sales have been doing for the past decades.
So Simple (and so cute hahah) Auditing Sampling Tool for estimating sample size.
Simple commented code to understand the Inverse Transform Sampling approach
Determine a text is written by machine or human. Texts from different domains may influence model's classification. Another issue is imbalance instances in two labels. The model solves this two issues and then classify.
The objective is to build various classification models, tune them and find the best one that will help identify failures so that the generator could be repaired before failing/breaking and the overall maintenance cost of the generators can be brought down.
An analysis of applications on Google Play
The main purpose of this mobile application is to meet the needs of companies in the companies in the quality control operation. By automating the quality control at reception, we will both eliminate the possible errors in manual picking, reduce costs and optimise the process.
This was a project that aimed implement sampling techniques. The sampling technique used was clustered random sampling and stratified random sampling.
User-defined python package that returns the probability of a particular color being randomly drawn without replacement.
Correlation, sampling, sensitivity, inference and random linear algebra routines in rust
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