RTO-TR-26

A Publication, Aeroelastic Prediction Workshop - 13 years, 8 months ago

Shared By: CAROL WIESEMAN

Computational Unsteady Aerodynamics computer codes are being increasingly used. In order to validate their results they must be tested against valid experimental data. The present ...

Block-GP: Scalable Gaussian Process Regression for Multimodal Data

A Publication, Ashok Srivastava's Collection - 11 years, 2 months ago

Shared By: Ashok Srivastava

Regression problems on massive data sets are ubiquitous in many application domains including the Internet, earth and space sciences, and finances. In many cases, regression ...

Block-GP: Scalable Gaussian Process Regression for Multimodal Data

A Publication, Kamalika Das's Collection - 14 years, 2 months ago

Shared By: Kamalika Das

Regression problems on massive data sets are ubiquitous in many application domains including the Internet, earth and space sciences, and finances. In many cases, regression ...

Ashok Srivastava

Distributed Monitoring of the R2 Statistic for Linear Regression

A Publication, Kanishka Bhaduri's Collection - 13 years, 10 months ago

Shared By: Kanishka Bhaduri

The problem of monitoring a multivariate linear regression model is relevant in studying the evolving relationship between a set of input variables (features) and one ...

Fast and Flexible Multivariate Time Series Subsequence Search

A Publication, Ashok Srivastava's Collection - 11 years, 2 months ago

Shared By: Ashok Srivastava

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 ...

Metrics for Offline Evaluation of Prognostic Performance

A Publication, Prognostics CoE Publications - 14 years, 3 months ago

Shared By: Kai Goebel

Prognostic performance evaluation has gained significant attention in the past few years. Currently, prognostics concepts lack standard definitions and suffer from ambiguous and inconsistent interpretations. ...

Empirical Evaluation of Diagnostic Algorithm Performance Using a Generic Framework

A Publication, First International Diagnostic Competition - 14 years, 3 months ago

Shared By: SCOTT POLL

A variety of rule-based, model-based and data-driven techniques have been proposed for detection and isolation of faults in physical systems. However, there have been few ...

First International Diagnosis Competition – DXC’09

A Publication, First International Diagnostic Competition - 14 years, 3 months ago

Shared By: SCOTT POLL

A framework to compare and evaluate diagnosis algorithms (DAs) has been created jointly by NASA Ames Research Center and PARC. In this paper, we present ...

Towards a Framework for Evaluating and Comparing Diagnosis Algorithms

A Publication, First International Diagnostic Competition - 14 years, 3 months ago

Shared By: SCOTT POLL

Diagnostic inference involves the detection of anomalous system behavior and the identification of its cause, possibly down to a failed unit or to a parameter ...

Multi-objective optimization based privacy preserving distributed data mining in Peer-to-Peer networks

A Publication, Kanishka Bhaduri's Collection - 14 years, 4 months ago

Shared By: Kanishka Bhaduri

This paper proposes a scalable, local privacy preserving algorithm for distributed Peer-to-Peer (P2P) data aggregation useful for many advanced data mining/analysis tasks such as average/sum ...

Distributed Anomaly Detection Using Satellite Data From Multiple Modalities

A Publication, Kanishka Bhaduri's Collection - 14 years, 2 months ago

Shared By: Kanishka Bhaduri

There has been a tremendous increase in the volume of Earth Science data over the last decade from modern satellites, in-situ sensors and different climate ...

Privacy Preserving Outlier Detection through Random Nonlinear Data Distortion

A Publication, Kanishka Bhaduri's Collection - 14 years, 4 months ago

Shared By: Kanishka Bhaduri

Consider a scenario in which the data owner has some private/sensitive data and wants a data miner to access it for studying important patterns without ...

ν-Anomica: A Fast Support Vector based Novelty Detection Technique

A Publication, Kanishka Bhaduri's Collection - 14 years, 4 months ago

Shared By: Kanishka Bhaduri

In this paper we propose ν-Anomica, a novel anomaly detection technique that can be trained on huge data sets with much reduced running time compared ...