Voting Based Neural Network: Extreme Learning Machine

To complete selection of the classifier subset, use the set pruning method. Aggregate pruning not only reduces the complexity of the algorithm, it can even improve generalization. Many collection pruning methods have been proposed so far. Primarily the global pruning [12] method is divided into three types. One). Sort-based pruning: In this pruning method, we use several criteria to place the classifier and select some top-level classifiers as whole trimming (PE).

Deep learning: Based on the well-known artificial neural network model, it is a new trend of machine learning. The neural network uses a connectionist approach and attempts to simulate how the brain works in a very simple way. Basically they consist of a large set of interconnected neurons (basic units of processing) organized at different levels. In other words, deep learning not only attempts learning but also develops deeper new structures and improves learning algorithms by constructing structures that automatically represent more important functions at a more abstracted level.

Deep learning / machine learning (universal): Machine learning is a technique of computer algorithms that operate based on learning existing data. Deep learning is a subset of machine learning that focuses on deep neural networks. The following companies build deep learning / machine learning technology or use them as core products of their products. Natural Language Processing: Natural Language Processing is a method in which a computer processes human language input, converts it into an expression that is easy to understand, and derives meaning from it. The following companies build natural language processing technology or use it as a core product of the product (not including all speech recognition companies).