Keyphrases
Associative Memory
31%
Banyan
16%
Banyan Network
18%
Complexity Control
19%
Convergence Time
16%
Data Analytics
15%
Distributed Associative Memory
18%
Fault Tolerance
20%
Generalization Bounds
19%
Generalization Performance
24%
Generalized Inverse
20%
High-dimensional Data
21%
Intracranial EEG (iEEG)
19%
Job Shop Scheduling
16%
Learning Methodology
17%
Learning Methods
24%
Learning Settings
14%
Model Complexity
21%
Model Selection
40%
Multi-task Learning
27%
Multiprocessor Systems
19%
Multistage Interconnection Networks
31%
Neural Network
39%
Neural Network Method
24%
New Learning
20%
Noise Performance
16%
Performance Prediction
16%
Predictive Learning
29%
Predictive Models
16%
Rearrangeable
18%
Regression Problem
23%
Seizure
16%
Seizure Prediction
17%
Selection Rules
16%
Self-organizing Map
22%
Sparse Shapes
16%
Statistical Learning Theory
26%
Support Vector Machine
53%
SVM+
22%
SVM-based
20%
Switching Networks
15%
Task Allocation
16%
Threshold Method
17%
Training Data
46%
Universum
15%
Universum Support Vector Machine
16%
Universum SVM
24%
Vapnik-Chervonenkis Theory
21%
VC Theory
16%
Wavelet Thresholding
23%
Computer Science
Application Domain
10%
Associative Memory
38%
Data Analytics
12%
de-noising
18%
Deep Learning Method
11%
Discriminant Analysis
11%
Experimental Result
11%
Fault Tolerant
18%
fault-tolerance
20%
Feature Extraction
12%
Feature Selection
11%
Generalization Performance
23%
Graceful Degradation
11%
Heterogeneous Data
11%
High Dimensional Data
20%
Information Retrieval
23%
Learning Rate
11%
Learning System
25%
Linear Discriminant Analysis
16%
Local Area Network
11%
Machine Learning
25%
Model Complexity
34%
Motion Model
11%
Multicomputers
12%
Multilayer Perceptron
15%
Multiprocessor System
22%
multistage interconnection network
23%
Multitask Learning
32%
Network Controller
13%
Neural Network
60%
Neural Network Approach
22%
Organizing Map
25%
Parallelism
12%
Practical Condition
9%
Prediction Accuracy
14%
Predictive Model
14%
Priori Knowledge
14%
Regression Problem
22%
Regularization
17%
Scheduling Problem
16%
Skeletonization
11%
Statistical Learning Theory
28%
Structured Data
11%
Supervised Learning
12%
Support Vector Machine
100%
Support Vector Machine
50%
Switching Network
15%
Theoretical Framework
14%
Training Data
42%
Training Sample
14%