OMAD 2014 Workshop Proceedings

A Publication, Kamalika Das's Collection - 10 years, 10 months ago

Shared By: Kamalika Das

Sparse Inverse Gaussian Process Regression with Application to Climate Network Discovery

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. Gaussian Process regression is ...

Distributed Anomaly Detection using 1-class SVM for Vertically Partitioned Data

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

Shared By: Kanishka Bhaduri

There has been a tremendous increase in the volume of sensor data collected over the last decade for different monitoring tasks. For example, petabytes of ...

Scalable, Asynchronous, Distributed Eigen-Monitoring of Astronomy Data Streams

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

Shared By: Kanishka Bhaduri

In this paper, we develop a distributed algorithm for monitoring the principal components (PCs) for next generation of astronomy petascale data pipelines such as the ...

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 ...

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 ...