5 datasets found

JavaGenes is a fairly general purpose evolutionary software system written in Java. It implements several versions of the genetic algorithm, simulated annealing, stochastic hill...

The sequenceMiner was developed to address the problem of detecting and describing anomalies in large sets of high-dimensional symbol sequences. sequenceMiner works by...

Block GP is a Gaussian Process regression framework for multimodal data, that can be an order of magnitude more scalable than existing state-of-the-art nonlinear regression...

The Multiple Kernel Anomaly Detection (MKAD) algorithm is designed for anomaly detection over a set of files.

Mariana is an algorithm that efficiently optimizes the hyperparameters for Support Vector Machines for regression and classification.