Centrality and Diversity in Search
Roles in A.I., Machine Learning, Social Networks, and Pattern Recognition
Paperback Engels 2019 9783030247126Samenvatting
The concepts of centrality and diversity are highly important in search algorithms, and play central roles in applications of artificial intelligence (AI), machine learning (ML), social networks, and pattern recognition. This work examines the significance of centrality and diversity in representation, regression, ranking, clustering, optimization, and classification.
The text is designed to be accessible to a broad readership. Requiring only a basic background in undergraduate-level mathematics, the work is suitable for senior undergraduate and graduate students, as well as researchers working in machine learning, data mining, social networks, and pattern recognition.
Specificaties
Lezersrecensies
Inhoudsopgave
<p>Searching</p>
<p>Representation</p>
<p>Clustering and Classification</p>
<p>Ranking</p>
<p>Centrality and Diversity in Social and Information Networks</p>
<p>Conclusion</p>
Rubrieken
- advisering
- algemeen management
- coaching en trainen
- communicatie en media
- economie
- financieel management
- inkoop en logistiek
- internet en social media
- it-management / ict
- juridisch
- leiderschap
- marketing
- mens en maatschappij
- non-profit
- ondernemen
- organisatiekunde
- personal finance
- personeelsmanagement
- persoonlijke effectiviteit
- projectmanagement
- psychologie
- reclame en verkoop
- strategisch management
- verandermanagement
- werk en loopbaan