Skip to main navigation
Skip to search
Skip to main content
Penn State Home
Help & FAQ
Link opens in a new tab
Search content at Penn State
Home
Researchers
Research output
Research units
Equipment
Grants & Projects
Prizes
Activities
Deep Learning, Grammar Transfer, and Transportation Theory
Kaixuan Zhang
, Qinglong Wang
, C. Lee Giles
College of Information Sciences and Technology
Supply Chain and Information Systems
Computer Science and Engineering
Research output
:
Chapter in Book/Report/Conference proceeding
›
Conference contribution
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Deep Learning, Grammar Transfer, and Transportation Theory'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Grammar
100%
Transfer Theory
100%
Deep Learning
100%
Artificial Intelligence
50%
Recurrent Neural Network
33%
Learning Model
33%
Regular Grammar
33%
Optimal Way
16%
Decision-making Process
16%
Widespread Adoption
16%
Human Intelligence
16%
Operations Research
16%
Deterministic Finite Automata
16%
Transfer Learning
16%
Human Perspective
16%
Types of Intelligence
16%
Deep Learning Methods
16%
Optimal Transfer
16%
Artificial Humans
16%
Transfer Plan
16%
Ways of Learning
16%
Transfer Task
16%
Computer Science
Artificial Intelligence
100%
Deep Learning Method
100%
Recurrent Neural Network
66%
Regular Grammar
66%
Decision-Making
33%
System Analysis
33%
Widespread Adoption
33%
Deterministic Finite Automaton
33%
Transfer Learning
33%
Operations Research
33%
Psychology
Grammar Learning
100%
Artificial Intelligence
100%
Neural Network
66%
Learning Model
66%
Decision-Making Process
33%
Learning Transfer
33%
Human Intelligence
33%
Mathematics
Neural Network
100%
Deep Learning Method
100%
Regular Grammar
100%
Operations Research
50%
Transfer Learning
50%