In contrast, our approach is based on supervised machine learning.
The process itself relies purely on the tweet (text) which is segmented based on supervised learning.
Our method consists in providing connections based on supervised retrieval of domain-specific expressions.
Structure determination based on supervised learning is an important issue in pattern classification.
We thus propose approaches for automated decision-making based on supervised and reinforcement learning.
The proposal is based on supervised learning using topological representations for the environment.
Context recognition algorithms based on supervised and unsupervised learning methods primarily use probabilistic and statistical reasoning.
The present network learned by back-propagation algorithm is based on supervised procedure.
Automatic emotion recognition systems based on supervised machine learning require reliable annotation of affective behaviours to build useful models.
First, an ANN approach is illustrated based on supervised multi-layer perceptron (MLP) network for the electrical consumption forecasting.
