Automatic Machine Learning Method for Hyper-parameter Search

Random Search for Hyper-Parameter Optimization

Many machine learning algorithms have hyperparameters flags, values, and other configuration information that guides the algorithm. Sometimes this configuration applies to the space of functions that the learning algorithm searches (e.g. the number of nearest neighbours to use in KNN). Sometimes this configuration applies to the way in which the search is conducted (e.g. the step size in stocha...

Hyper-parameter Learning for Graph Based Semi-supervised Learning Algorithms

A Hybrid Machine Learning Method for Intrusion Detection

Data security is an important area of concern for every computer system owner. An intrusion detection system is a device or software application that monitors a network or systems for malicious activity or policy violations. Already various techniques of artificial intelligence have been used for intrusion detection. The main challenge in this area is the running speed of the available implemen...

Using Machine Learning Algorithms for Automatic Cyber Bullying Detection in Arabic Social Media

Social media allows people interact to express their thoughts or feelings about different subjects. However, some of users may write offensive twits to other via social media which known as cyber bullying. Successful prevention depends on automatically detecting malicious messages. Automatic detection of bullying in the text of social media by analyzing the text "twits" via one of the machine l...

Automatic Parameter Selection for Sequence Similarity Search

We show that simulated annealing search can be used to automatically select parameters and find highly similar data regions using a modified version of the DNA-DNA Sequence Similarity Search program. We call this modified program AutoSimS. We use the average score of high-scoring chains to measure the goodness of the resulting sequence similarity search, and use adaptive simulated annealing to ...