machine learning造句
1. Recently statistical machine learning methods have been substantially attempted for this issue with some achievements.
2. As an effective machine learning method, ensemble learning has been widely used in various fields, such as corporation finance distress, exchange forecast and text mining.
3. Her current research interests include biometrics, pattern recognition, machine learning and image processing.
4. Research Interests:statistical machine learning with applications to language, speech, image and biological signal processing.
5. Support vector regression (SVR), a powerful machine learning technology based on statistical learning theory ( SLT ) was applied to QSAR on the aldose reductase inhibitory activity of 48 flavones.
6. And classification is the basis of the common Machine Learning problem.
7. Their Android app uses machine learning and image recognition that takes place right on your phone to alert you when you're chatting your way right into an oncoming smash-up.
8. To address second problem, we try some machine learning technologies on untagged corpus.
9. Machine learning optimization assessed value of the parameter words, and the ideas is the third innovative ideas of research projects.
10. Support vector machine (SVM) is a powerful machine learning technique based on statistical learning theory ( SLT ).
11. As an unsupervised machine learning method, document clustering has been widely used in many NLP applications such as information retrieval, automatic multi-document summarization and etc.
12. Areas such as vision, continuous speech recognition and synthesis, and machine learning have been hard.
13. MAS learning is a domain intercrossed between MAS and machine learning.
14. The calculation of the credit assignment in improved genetic algorithm based on machine learning.
15. Data mining is an intercrossed subject, involving many fields such as machine learning, model reorganization, induction and deduction, statistics, database and high performance calculation.
16. Support vector machines(SVMs) are based on statistical learning theory( SLT ). It has been hot research in machine learning area.
17. Web document classification assigns labels to web documents based on machine learning techniques.
18. The mining of uncertain knowledge is important problem in the field of machine learning and data mining.
19. Recently, many researchers try to handle coreference resolution with statistical machine learning and gain some achievement.
20. Inductive logic programming was defined as the intersection of machine learning and logic programming.
21. Based on this, the diagnosis accurate can greatly improve by machine learning methods using a prior knowledge to guide computer-aided diagnosis of the unknown image data.
22. Target word selection in English Chinese machine translation is studied using the machine learning approach.
23. Case - Based Reasoning ( CBR ) technique is the fore realm of AI and machine learning.
24. Therein lies the premise and the promise of the field of machine learning and the project this article introduces: Apache Mahout (see Resources).
25. Learning from examples and feature subset selection are the two basic problems and also the bottle-neck in concepts extraction of machine learning.
26. Fourthly . making use of Learning from examples based on information theory, machine learning algorithm and machine learning decision tree is realized.
27. First the paper introduces text categorization in the application of machine learning, pattern discrimination and data mining and explores the connection between text categorization and them.
28. Nowadays there are three methods on the research of biomedical name entity recognition, including dictionary-based method, rule-based method and statistical machine learning method.
29. In training, according to VSM, we get the feature list file and the machine learning model file, and two class center vectors are contained in the machine learning model file.
30. It is pointed out that a kind of systems of machine learning based on inductive logic is not only possible, but also necessary for the progress of machine learning.
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