GMDH polynomial neural network

An Algorithm, Multiple Kernel Learning based Heterogeneous Algorithm (MKAD) - 12 years, 1 month ago

Shared By: Indir Jaganjac

Learning and building GMDH polynomial neural networks and printing them as 3rd degree polynomial equation.

Indir Jaganjac

An Algorithm, Multiple Kernel Learning based Heterogeneous Algorithm (MKAD) - 12 years, 4 months ago

Shared By: Indir Jaganjac

Machine Learning (ML) from USGS NEIC global earthquake catalog data. Machine Learning (ML) and building predictive rules and trees from global earthquake catalog data

Indir Jaganjac

An Algorithm, Multiple Kernel Learning based Heterogeneous Algorithm (MKAD) - 12 years, 4 months ago

Shared By: Indir Jaganjac

Machine Learning (ML) from USGS NEIC global earthquake catalog data. Machine Learning (ML) and building predictive rules and trees from global earthquake catalog data

Aerospace Example

An Algorithm, Symbolic Execution Enhanced System Testing - 12 years, 7 months ago

Shared By: MISTY DAVIES

This is a textbook, created example for illustration purposes. The System takes inputs of Pt, Ps, and Alt, and calculates the Mach number using the ...

Multivariate Time Series Search

An Algorithm, Kanishka Bhaduri's Collection - 12 years, 8 months ago

Shared By: Kanishka Bhaduri

Multivariate Time-Series (MTS) are ubiquitous, and are generated in areas as disparate as sensor recordings in aerospace systems, music and video streams, medical monitoring, and ...

MKAD (Open Sourced Code)

An Algorithm, Multiple Kernel Learning based Heterogeneous Algorithm (MKAD) - 4 years, 10 months ago

Shared By: Bryan Matthews

The Multiple Kernel Anomaly Detection (MKAD) algorithm is designed for anomaly detection over a set of files. It combines multiple kernels into a single optimization ...

nu-Anomica algorithm

An Algorithm, Santanu Das's Collection - 12 years, 3 months ago

Shared By: Santanu Das

One-class nu-Support Vector machine (SVMs) learning technique maps the input data into a much higher dimensional space and then uses a small portion of the ...

Orca

An Algorithm, MARK SCHWABACHER's Collection - 13 years, 7 months ago

Shared By: MARK SCHWABACHER

Orca is a data-driven, unsupervised anomaly detection algorithm that uses a distance-based approach. It uses a novel pruning rule that allows it to run in ...

Inductive Monitoring System (IMS)

An Algorithm, DAVID IVERSON's Collection - 13 years, 7 months ago

Shared By: DAVID IVERSON

IMS: Inductive Monitoring System The Inductive Monitoring System (IMS) is a tool that uses a data mining technique called clustering to extract models of normal ...