"Similarity measure"의 두 판 사이의 차이

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===소스===
 
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==메타데이터==
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===위키데이터===
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* ID :  [https://www.wikidata.org/wiki/Q29017317 Q29017317]
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===Spacy 패턴 목록===
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* [{'LOWER': 'similarity'}, {'LEMMA': 'measure'}]
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* [{'LOWER': 'similarity'}, {'LEMMA': 'function'}]
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* [{'LOWER': 'measure'}, {'LOWER': 'of'}, {'LEMMA': 'similarity'}]

2021년 2월 17일 (수) 01:34 기준 최신판

노트

  1. A similarity measure takes these embeddings and returns a number measuring their similarity.[1]
  2. We will see that as data becomes more complex, creating a manual similarity measure becomes harder.[2]
  3. We’ll leave the supervised similarity measure for later and focus on the manual measure here.[2]
  4. To understand how a manual similarity measure works, let's look at our example of shoes.[2]
  5. In general, your similarity measure must directly correspond to the actual similarity.[2]
  6. Learning similarity measure for natural image retrieval with relevance feedback.[3]
  7. Similarity measure in a data mining context is a distance with dimensions representing features of the objects.[4]
  8. In this section, we introduce the proposed similarity measure.[5]
  9. But this property can be involved in the term weighting scheme rather than the similarity measure.[5]
  10. A similarity measure is a data mining or machine learning context is a distance with dimensions representing features of the objects.[6]
  11. Finally, the cosine similarity measures are applied to pattern recognition and medical diagnosis.[7]
  12. In this paper, we propose a similarity measure for data described in terms of the DL-lite ontology language.[8]
  13. To that end, we selected three other similarity measures, all of which operate on vectors with binary coordinates.[9]
  14. As can be seen, different similarity measures between interaction vectors generated a different number of network modules.[9]
  15. Various distance/similarity measures are available in the literature to compare two data distributions.[10]
  16. As the names suggest, a similarity measures how close two distributions are.[10]
  17. To overcome this problem, we suggest a new measure of similarity between graphs, based on the similarity measure of Wu and Palmer.[11]
  18. We have shown that this new measure satisfies the properties of a measure of similarities and we applied this new measure on examples.[11]
  19. In this paper, we consider some cosine similarity measures and distance measures between q‐rung orthopair fuzzy sets (q‐ROFSs).[12]
  20. First, we define a cosine similarity measure and a Euclidean distance measure of q‐ROFSs, their properties are also studied.[12]
  21. It enables the similarity measure to have a principled means by combining multiple types of edges from WordNet.[13]
  22. Similarity measures of intuitionistic fuzzy sets are used to indicate the similarity degree between intuitionistic fuzzy sets.[14]
  23. In this paper, a new similarity measure and weighted similarity measure between IFSs are proposed.[14]
  24. It proves that the proposed similarity measures satisfy the properties of the axiomatic definition for similarity measures.[14]
  25. A similarity measure is defined to compare the information carried by IFSs.[14]

소스

  1. ↑ Measuring Similarity from Embeddings
  2. ↑ 2.0 2.1 2.2 2.3 Create a Manual Similarity Measure
  3. ↑ Similarity measures
  4. ↑ Top 5 Distance Similarity Measures implementation in Machine Learning
  5. ↑ 5.0 5.1 Pairwise document similarity measure based on present term set
  6. ↑ Five most popular similarity measures implementation in python
  7. ↑ Cosine similarity measures for intuitionistic fuzzy sets and their applications
  8. ↑ A Semantic Similarity Measure for Ontology-Based Information
  9. ↑ 9.0 9.1 Measuring similarity between gene interaction profiles
  10. ↑ 10.0 10.1 1(b).2.1: Measures of Similarity and Dissimilarity
  11. ↑ 11.0 11.1 International Journal of Recent Contributions from Engineering, Science & IT (iJES)
  12. ↑ 12.0 12.1 Some cosine similarity measures and distance measures between q‐rung orthopair fuzzy sets
  13. ↑ Semantic Textual Similarity Methods, Tools, and Applications: A Survey
  14. ↑ 14.0 14.1 14.2 14.3 A New Similarity Measure between Intuitionistic Fuzzy Sets and Its Application to Pattern Recognition

메타데이터

위키데이터

Spacy 패턴 목록

  • [{'LOWER': 'similarity'}, {'LEMMA': 'measure'}]
  • [{'LOWER': 'similarity'}, {'LEMMA': 'function'}]
  • [{'LOWER': 'measure'}, {'LOWER': 'of'}, {'LEMMA': 'similarity'}]
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