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.
Implementing inference methods for Latent Dirichlet Allocation model. This repo is for study purposes.
Applying various sampling algorithms and classifiers to determine which was best suited for predicting credit risk.
System to tell apart the transaction was from the real user who owns the credit card or the transaction was from the stolen credit card
Repository hosting code for sparse dense sampling based 2 stage HOG-SVM object detector
🔍 Evaluating Sampling Techniques for Healthcare Insurance Fraud Detection in Imbalanced Dataset.
An analysis of applications on Google Play
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