In order to solve the problem of how to simulate human perceptual thinking, such as visual understanding, intuitive thinking, perception, etc., researchers find an important mechanism of information processing is ()
A. expert system
B. artificial neural network
C. pattern recognition
D. intelligent agent
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The wrong statement about the common methods of transfer learning is ()
A. The sample-based transfer learning method is simple and easy to implement, so it is currently the most adopted method
B. Feature selection and transformation based on feature-based transfer learning can achieve better results
C. The advantage of model-based transfer learning is that there are similarities in model building, which can be used
D. The disadvantage of model-based transfer learning is that the model parameters are not easy to converge Explanation: The weight selection and similarity measurement of sample-based transfer learning depend on experience, and the data distribution of the source and target domains are often different. The most commonly used method is feature-based transfer learning.
Inductive reasoning is a reasoning ()
A. From general to individual
B. From individual to general
C. From individual to individual
D. From general to general
If the problem has an optimal solution, () must be able to obtain the optimal solution.
A. Breadth-first search
B. Depth-first search
C. Bounded depth first search
D. Heuristic search
The wrong statement about machine translation is ()
A. The processing speed can be improved by indexing and parallel processing
Best match reasoning can be used
C. Professional translation is not yet available
D. The knowledge of machine translation system can be transplanted and shared Explanation: At present, there are a variety of network resources that can provide data retrieval functions such as vocabulary, proper nouns, example sentences, and cultural background, which greatly facilitates translation learning and research, so it can carry out certain professional translation work.
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