Ideas tagged with machine learning

Phylogenetic tree representation in n-dimensional space

Traditional phylogenetic trees are represented as bifurcating trees, where the leaf nodes represent taxa and the internal nodes represent common ancestors. Bifurcating trees offer advantages of interpreting common ancestors as well as being widely accepted; however, this representation could lim...

By Cole Lyman

Applying Machine Learning to Detect Code Quality Issues

Detecting the potential problems in the code before the product is released can prevent the problems in production and lower the cost of the system operation. The automated code review tools are relying on detecting code patterns that are know to cause problems. This methods are unable to find n...

By Jordan Vrtanoski

Applying Supervised Machine Learning to the Fight against Online Child Sexual Abuse

Some reports of NGOs and anecdotal evidence suggest that child abuse materials (CAMs) share some characteristics extensively. They mostly take place indoor settings, victims' face or genitalia is visible and there are few visual clues about the abuser(s). For the known CAMs, there are methods...

By kemal veli a├žar

A service to assess the quality of documentation of open source software

Could one build a service that checks the completeness and quality of documentation of an open source repository? Potentially a group could build up a set of repositories with documentation ratings, which could then be used to train a ML/DL model, which could then be used to provide the servi...

By Daniel S. Katz

Dermatoglyphics to predict genetic disorders

In recent times, genetic disorders have risen to be one of the significant causes of mortality. As we improve our understanding of the human genome, we see that nearly all diseases have a genetic component linked to them. Early diagnosis of these genetic diseases is crucial for successful treatm...

By Ashwin K. Jainarayanan, Nithishwer Mourouganand

Vein Dynamics to predict the immune response and susceptibility to disorders

The immune system acts as a protective framework against the pathogenic microbes. Understanding the immune system can give us insights of how vulnerable someone is to foreign invaders. Amidst the recent events such as virus outbreaks it becomes highly advantageous if we pinpoint the individuals ...

By Arpit Kumar Pradhan

Backward stepwise elimination: A model-based method for nonlinear dimension reduction

In multidimensional data modeling, dimension reduction is not intuitive. Forward feature selection is usually deceptive. That is, a strongly related feature may have a small correlation coefficient (near zero) to the objective, especially when the target model is nonlinear. Therefore, we suggest...

By Changtong Luo

Unifying generative models and exact likelihood-free inference with conditional bijections

Recent work in density estimation uses a bijection $f : X \to Z$ (e.g. an invertible flow or autoregressive model) and a tractable density $p(z)$ (e.g. [[1]](https://arxiv.org/abs/1410.8516) [[2]](http://www.dmi.usherb.ca/~larocheh/projects_nade.html) [[3]](https://arxiv.org/abs/1410.6460) [[4]...

By Kyle Cranmer, Gilles Louppe