Amanote Research

Amanote Research

  • Register
  • Sign In

Faster Jobs in Distributed Data Processing Using Multi-Task Learning

doi 10.1137/1.9781611974010.60

Full Text

Abstract

Available in

Date

June 30, 2015

Authors

Neeraja J. YadwadkarBharath HariharanJoseph GonzalezRandy Katz

Publisher

Society for Industrial and Applied Mathematics


Related search

Query Processing in Distributed Data Warehouse Using Proposed Dynamic Task Dependency Scheduling Algorithm

International Journal of Computer Applications
2012English

Secure Distributed Data Using Multi-Cloud

International Journal of Innovative Technology and Exploring Engineering
Mechanics of MaterialsElectronic EngineeringCivilStructural EngineeringElectricalComputer Science
2020English

Distributed Data Processing

IBM Systems Journal
1999English

Multi-Population Genomic Prediction Using a Multi-Task Bayesian Learning Model

BMC Genetics
Genetics
2014English

A Distributed Data Processing Platform Over Meteorological Big Data Using MapReduce

International Journal of Intelligent Internet of Things Computing
2019English

Distributed Stream Data Processing System in Multi-Agent Safety System of Infrastructure Objects

CEUR Workshop Proceedings
Computer Science
2019English

Distributed Scalable Multi-Robot Learning Using Particle Swarm Optimization

Swarm Intelligence
Artificial Intelligence
2009English

Collaborative Multi-Swarm PSO for Task Matching Using Graphics Processing Units

2011English

Convex Multi-Task Feature Learning

Machine Learning
Artificial IntelligenceSoftware
2008English

Amanote Research

Note-taking for researchers

Follow Amanote


© 2026 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy