Active learning combined with blockchain: exploring new technologies and applications

Author: Zen and the Art of Computer Programming

In recent years, new applications based on blockchain technology have also emerged. However, there are still many problems in related technologies, the most prominent of which is the problem of value verification. Any goods or services traded on the blockchain require a certain number of confirmations before they are recognized. This process is not entirely determined by an individual, but is influenced by a large number of other users, which may affect the final product quality and effectiveness. Therefore, how to design a solution that allows individuals to actively participate in value verification will become a very challenging topic.

With the rapid development of blockchain technology, more and more people are paying attention to the potential of this technology, hoping to further optimize their decision-making processes through active learning. Active Learning is one of the machine learning methods. Its core idea is to use user feedback to actively collect more data for model training when the training data is insufficient, thereby improving the performance of the model.

This article attempts to present a series of knowledge points to readers by reviewing the basic concepts, algorithm principles and application cases of active learning, aiming to help readers better understand the combination of active learning and blockchain, and how to use technical means to solve value verification related questions.

2. Explanation of basic concepts and terms

2.1 What is active learning?

Active Learning is a machine learning method. Its core idea is to use user feedback information to improve the performance of the model by labeling new data sets. In other words, machine learning systems can automatically discover meaningful information from massive unlabeled data and select samples suitable for the current task for labeling.

Active learning generally includes the following two stages:

  1. Find samples of labeled data
  2. Retrain the model using the annotated dataset

2.2 What is blockchain?

Blockchain is a distributed database that stores

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Origin blog.csdn.net/universsky2015/article/details/131777964