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Computer Science
Representation Learning
100%
Map-Reduce
60%
Trajectory Data
47%
Deep Learning Method
44%
Level Sentiment Analysis
40%
Baseline Method
33%
Deep Learning Model
30%
Attention (Machine Learning)
30%
Storage System
27%
Convolutional Neural Network
26%
Diverse Replica
26%
Label Distribution
26%
Segmentation Model
26%
Predictive Coding
26%
Global Positioning System
25%
Query Processing
24%
Information Storage
22%
Query Performance
20%
Experimental Result
20%
Large Data Set
20%
Parallel Processing
17%
Performance Model
17%
Bidirectional Long Short-Term Memory Network
17%
Spatiotemporal Data
16%
Ensemble Method
16%
Range Query
16%
Training Process
16%
Learning System
15%
Machine Learning
15%
Temporal Information
13%
Performance Tuning
13%
Projective Transformation
13%
Image Interpretation
13%
Clustering Algorithm
13%
User Requirement
13%
Compression Algorithm
13%
Gradient Boosting
13%
Mapreduce Paradigm
13%
Inference Method
13%
Partitioning Method
13%
Computation Cost
13%
Network Constraint
13%
Temporal Compression
13%
Computational Complexity
13%
Systems Planning
13%
Digital Service
13%
Secondary Road
13%
Hadoop
13%
Travel Planning
13%
Packing Algorithm
13%
Engineering
Deep Learning Method
46%
Convolutional Neural Network
26%
Opinion Mining
26%
Experimental Result
16%
Image Interpretation
13%
GPS Data
13%
Medical Image
13%
Offline Training
13%
Hybrid Model
13%
Cooperative
13%
Energy Engineering
13%
Mobile Node
13%
Reinforcement Learning
13%
Electronic Health Record
13%
Clinical Data
13%
Global Positioning System
10%
Nodes
9%
Clinical Application
6%
Severity Level
6%
Model-Based Control
6%
Environment Model
6%
Markov Property
6%
Pearsons Linear Correlation Coefficient
6%
Latent Factor
6%
Learning System
6%
Data Preprocessing
6%
Adaptability
6%
State-of-the-Art Method
6%
Risk Prediction
6%
Multi-Agent Deep Reinforcement Learning
6%
Smart Transportation
5%
Matching Algorithm
5%
