Stable and Efficient Gaussian Process Calculations

A Publication, Ashok Srivastava's Collection - 10 years, 4 months ago

Shared By: Ashok Srivastava

The use of Gaussian processes can be an effective approach to prediction in a supervised learning environment. For large data sets, the standard Gaussian process ...

Comparison of Unsupervised Anomaly Detection Methods

A Publication, Ashok Srivastava's Collection - 10 years, 4 months ago

Shared By: Ashok Srivastava

Several different unsupervised anomaly detection algorithms have been applied to Space Shuttle Main Engine (SSME) data to serve the purpose of developing a comprehensive suite ...

Comparative Analysis of Data-Driven Anomaly Detection Methods

A Publication, Ashok Srivastava's Collection - 10 years, 4 months ago

Shared By: Ashok Srivastava

This paper provides a review of three different advanced machine learning algorithms for anomaly detection in continuous data streams from a ground-test firing of a ...

Novel Methods for Predicting Photometric Redshifts

A Publication, Ashok Srivastava's Collection - 10 years, 4 months ago

Shared By: Ashok Srivastava

We calculate photometric redshifts from the Sloan Digital Sky Survey Main Galaxy Sample, The Galaxy Evolution Explorer All Sky Survey, and The Two Micron All ...

Algorithms for Spectral Decomposition with Applications

A Publication, Ashok Srivastava's Collection - 10 years, 4 months ago

Shared By: Ashok Srivastava

The analysis of spectral signals for features that represent physical phenomenon is ubiquitous in the science and engineering communities. There are two main approaches that ...

Detection and Prognostics on Low Dimensional Systems

A Publication, Ashok Srivastava's Collection - 10 years, 4 months ago

Shared By: Ashok Srivastava

This paper describes the application of known and novel prognostic algorithms on systems that can be described by low dimensional, potentially nonlinear dynamics. The methods ...

Anomaly Detection and Diagnosis Algorithms for Discrete Symbols

A Publication, Ashok Srivastava's Collection - 10 years, 4 months ago

Shared By: Ashok Srivastava

We present a set of novel algorithms which we call sequenceMiner that detect and characterize anomalies in large sets of high-dimensional symbol sequences that arise ...

Discovering System Health Anomalies using Data Mining Techniques

A Publication, Ashok Srivastava's Collection - 10 years, 4 months ago

Shared By: Ashok Srivastava

We discuss a statistical framework that underlies envelope detection schemes as well as dynamical models based on Hidden Markov Models (HMM) that can encompass both ...

ADAPT Dataset

A Dataset, DAWN MCINTOSH's Collection - 2 years, 9 months ago

Shared By: DAWN MCINTOSH

Advanced Diagnostics and Prognostics Testbed (ADAPT) Project Lead: Scott Poll Subject Fault diagnosis in electrical power systems Description The Advanced Diagnostics and Prognostics Testbed (ADAPT) ...

FLTz

A Dataset, Nikunj Oza's Collection - 13 years, 7 months ago

Shared By: Nikunj Oza

Subject Area: Engine Health Description: This data set is a simulated data set based on the flight simulator "FLTz" used by the Intelligent Flight Control ...

Disk Defect Data

A Dataset, Nikunj Oza's Collection - 13 years, 7 months ago

Shared By: Nikunj Oza

Subject Area: Engine Health Description: The Rotary Dynamics Laboratory at NASA Glenn Research Center has acquired data on simulated engine disks for the purpose of ...

Turbofan engine degradation simulation data set

A Dataset, Nikunj Oza's Collection - 4 years, 1 month ago

Shared By: Nikunj Oza

PHM08 Challenge Dataset is now publicly available at the NASA Prognostics Respository + Download An online evaluation utility is also provided to let users evaluate ...

SIAM 2007 Text Mining Competition dataset

A Dataset, Nikunj Oza's Collection - 13 years, 7 months ago

Shared By: Nikunj Oza

Subject Area: Text Mining Description: This is the dataset used for the SIAM 2007 Text Mining competition. This competition focused on developing text mining algorithms ...

Multiple Kernel Learning for Heterogeneous Anomaly Detection: Algorithm and Aviation Safety Case Study

A Publication, Multiple Kernel Learning based Heterogeneous Algorithm (MKAD) - 13 years, 7 months ago

Shared By: Bryan Matthews

The world-wide aviation system is one of the most complex dynamical systems ever developed and is generating data at an extremely rapid rate. Most modern ...