Skip to main navigation
Skip to search
Skip to main content
Arizona State University Home
Home
Profiles
Departments and Centers
Scholarly Works
Activities
Equipment
Grants
Datasets
Prizes
Search by expertise, name or affiliation
Neural Networks for Large Scale Machine Learning
Asim Roy
(Inventor)
Arizona State University
Research output
:
Patent
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Neural Networks for Large Scale Machine Learning'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Neural Network
100%
High-dimensional Data
100%
Large-scale Machine Learning
100%
Streaming Data
75%
Machine Learning
50%
Internet of Things
50%
Hardware Implementation
50%
Internet of Things Applications
50%
Parallelizing
50%
Stored Data
50%
Localized Learning
50%
Neural Networking
50%
Arizona State University
25%
Machine Learning Techniques
25%
Sampling Methods
25%
Smartphone
25%
Robotics
25%
Power System
25%
Machine Learning System
25%
Data Storage
25%
Smart Home
25%
Small Sets
25%
Computing Platform
25%
Signal Transmission
25%
Dimensionality Reduction
25%
Distributed Decision Making
25%
Network Traffic
25%
Medical Devices
25%
Analysis Patterns
25%
Mining Machines
25%
Learning Machine
25%
Distributed Control
25%
Feature Selection
25%
Manufacturing Plant
25%
Appropriate Behavior
25%
Granularity Level
25%
Control Center
25%
Parallel Computing
25%
Sensor-based
25%
Plethora
25%
Massively Parallel Computation
25%
Deployable
25%
Anytime Anywhere
25%
Cluster Computing
25%
Market Size
25%
Network Method
25%
Pattern Classification Problem
25%
Automobile Manufacturing
25%
Pattern Classifier
25%
Localized Response
25%
Class-based Features
25%
Computer Science
Neural Network
100%
Machine Learning
100%
Learning System
100%
High Dimensional Data
66%
Internet-Of-Things
66%
Decision-Making
33%
Hardware Implementation
33%
Data Streaming
33%
Localized Learning
33%
Granularity
16%
Machine Learning
16%
Computing Platform
16%
Network Traffic
16%
Analysis Pattern
16%
Potential Application
16%
Pattern Classification
16%
Information Storage
16%
Distributed Control
16%
Feature Selection
16%
Parallel Computation
16%
Critical Element
16%
Classification Problem
16%
Massively Parallel Computing
16%
Sampling Technique
16%
Cluster Computing
16%
Computer Hardware
16%
Feature Extraction
16%
Chemical Engineering
Learning System
100%
Neural Network
100%