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1. Unsupervised Learning Unsupervised learning is sometimes called self-supervised learning.

2. At the present state of the art, unsupervised learning is not well understood and is still the subject of much research.

3. An unsupervised learning algorithm might emphasize cooperation among clusters of processing elements.

4. Competitive learning is an unsupervised learning.

5. A second type of unsupervised learning is called clustering.

6. This would be an example of unsupervised learning in a classification context.

7. Unsupervised learning seems much harder: the goal is to have the computer learn how to do something that we don't tell it how to do!

8. The result of the feature selection in unsupervised learning is not as satisfactory as that in supervised learning.

9. In unsupervised learning, only learning to network with some samples, rather than provide an ideal output.

9. Wish you can benefit from our online sentence dictionary and make progress day by day!

10. Unsupervised learning, as you might guess, is tasked with making sense of data without any examples of what is correct or incorrect.

11. Unsupervised learning is used to adjust input weight values and supervised learning is utilized to adjust output weight values.

12. Unsupervised learning is a good method to solve the problem of recognition of unknown radar emitter signal.

13. In unsupervised learning, the goal is harder because there are no pre-determined categorizations.

14. Unsupervised learning has produced many successes, such as world-champion calibre backgammon programs and even machines capable of driving cars!

15. The paper presents an unsupervised learning algorithm to learn answer pattern for answer extraction module of Chinese Question Answering(QA).

16. In our discussion, classification is a significant component of the pattern recognition system, but unsupervised learning may also play a role there.

17. Recent researches and experiments show that clustering ensemble approaches can enhance the robustness and stabilities of unsupervised learning greatly.

18. I'll focus on the two most commonly used ones — supervised and unsupervised learning — because they are the main ones supported by Mahout.

19. The test proves that if prototype space mapping is reasonable, then this unsupervised learning ANN has good self- learning function. It has good application in engineering.

20. Decision theory, statistical classification, maximum likelihood and Bayesian estimation, non - parametric methods, unsupervised learning and clustering.

21. The learning of connectionism, which consists mainly of supervised learning, intensive learning and unsupervised learning, is modelled after the learning of human beings.

22. Clustering analysis is important part of data mining. It is an unsupervised learning process and it doesn't need prior knowledge about data set.

23. The former belongs to supervised learning and the latter belongs to unsupervised learning.

24. Clustering analysis is one of the important data mining techniques that can discover hidden modes by unsupervised learning and has the ability of acquiring knowledge independently.