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Retrieving Models
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In this study, a logistic regression model is developed to forecast tropical storm (TS) genesis in the Vietnam East Sea from 2012 to 2019. The model incorporates seven potential predictors including dynamic and thermodynamic parameters at formation time retrieved from the WRF-LETKF outputs.
12p
viellison
28-03-2024
3
1
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Ebook "Computational Intelligence in Control" contains 4 sections, includes: Section I: neural networks design, control and robotics application; section II: hybrid evolutionary systems for modelling, control and robotics applications; section III: fuzzy logic and bayesian systems; section IV: machine learning, evolutionary optimisation and information retrieval.
346p
haojiubujain08
01-11-2023
5
2
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Part 1 of ebook "Practical data analysis: Transform, model, and visualize your data through hands-on projects, developed in open source tools" provides readers with contents including: getting started; working with data; data visualization; text classification; similarity-based image retrieval; simulation of stock prices; predicting gold prices; working with support vector machines;...
173p
tieulangtran
28-09-2023
3
1
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Appendix C - Other relational languages, first presents the relational query language Query-by-Example (QBE), which was designed to be used by non-programmers. In QBE, queries look like a collection of tables containing an example of data to be retrieved. The graphical query language of Microsoft Access, which is based on QBE, is presented next, followed by the Datalog language, which has a syntax modeled after the logic-programming language Prolog.
61p
haojiubujain04
27-07-2023
13
5
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Appendix E - Hierarchical model. This chapter presents the following content: Basic concepts, tree-structure diagrams, data-retrieval facility, update facility, virtual records, mapping of hierarchies to files, the IMS database system.
60p
haojiubujain04
27-07-2023
7
4
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Ebook Introduction to statistics through resampling methods and R (Second edition): Part 2 includes contents: Chapter 7 guide to entering, editing, saving, and retrieving large quantities of data using R; chapter 8 analyzing complex experiments; chapter 9 developing models; chapter 10 reporting your findings; chapter 11 problem solving.
90p
haojiubujain03
24-07-2023
7
5
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We explored how a deep learning (DL) approach based on hierarchical attention networks (HANs) can improve model performance for multiple information extraction tasks from unstructured cancer pathology reports compared to conventional methods that do not sufficiently capture syntactic and semantic contexts from free-text documents.
10p
visteverogers
24-06-2023
3
2
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Ebook Information analysis and repackaging: Part 1 presents the following content: Information Analysis, Repackaging and Consolidation; Information Consolidation; Information Products; Information Retrieval; Information Retrieval Model and Search Strategies;...Please refer to the documentation for more details.
150p
chankora
16-06-2023
3
2
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Ebook Fundamentals of database management systems (Second edition): Part 1 presents the following content: Chapter 1 data: the new corporate resource; chapter 2 data modeling; chapter 3 the database management system concept; chapter 4 relational data retrieval: SQL; chapter 5 the relational database model: introduction; chapter 6 the relational database model: additional concepts; chapter 7 logical database design. Please refer to the documentation for more details.
218p
runthenight08
16-05-2023
7
2
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T Objective: The Recruitment Innovation Center (RIC), partnering with the Trial Innovation Network and institutions in the National Institutes of Health-sponsored Clinical and Translational Science Awards (CTSA) Program, aimed to develop a service line to retrieve study population estimates from electronic health record (EHR) systems for use in selecting enrollment sites for multicenter clinical trials.
8p
vighostrider
25-05-2023
7
2
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presents the following content: Chapter 1: introduction; chapter 2: data, information, and knowledge; chapter 3: representation of information; chapter 4: attribute content and values; chapter 5: models of virtual data structure; chapter 6: the physical structure of data; chapter 7: querying the information retrieval system; chapter 8: interpretation and execution of query statements; chapter 9: text searching; chapter 10: system-computed relevance and ranking; chapter 11: search feedback and iteration; chapter 12: multi-database searching and mapping; chapter 13: search strategy; chapter 1...
391p
runthenight08
12-04-2023
5
2
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Ebook Self-organized collaborative knowledge management presents the following content: Chapter 1: Introduction; Chapter 2: Motivation, use cases, and existing sytems; Chapter 3: The semantic web; Chapter 4: The courseware watchdog: A P2PKM Application; Chapter 5: Self-organized network topologies for P2PKM; Chapter 6: Semantic summarization of knowledge bases for P2PKM; Chapter 7: Introduction to folksonomies; Chapter 8: A formal model, data structures, and algorithms for folksonomies; Chapter 9: Folksonomy data sets; Chapter 10: Small world structure in folksonomies; Chapter 11: Inform...
217p
runthenight08
12-04-2023
7
4
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Ebook Business information systems: Analysis, design and practice - Part 2 presents the following content: Chapter 9 Information systems: control and responsibility; Chapter 10 Information systems development: an overview; Chapter 11 The systems project: early stages; Chapter 12 Process analysis and modeling; Chapter 13 Data analysis and modeling; Chapter 14 Systems design; Chapter 15 Detailed design, implementation and review; Chapter 16 Systems development: further tools, techniques and alternative approaches; Chapter 17 Expert systems and knowledge bases.
326p
runthenight03
06-12-2022
20
4
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Lecture Data mining: Lesson 22. The main topics covered in this chapter include: text and web search; text databases; information retrieval; basic measures for text retrieval; information retrieval techniques; full-text scanning; Tex - Detailed outline;... Please refer to the content of document.
87p
tieuvulinhhoa
22-09-2022
5
4
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Information retrieval techniques: Lecture 32. The main topics covered in this chapter include: web search; the world wide web; web pre-history; web search history; web challenges for iR; graph structure in the web (bowtie); Zipf’s law on the web; manual hierarchical web taxonomies; business models for web search;... Please refer to the content of document.
15p
tieuvulinhhoa
22-09-2022
9
4
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Information retrieval techniques: Lecture 40. The main topics covered in this chapter include: top-k query processing; simple database model; Fagin’s algorithm; threshold algorithm; comparison of Fagin’s and threshold algorithm;... Please refer to the content of document.
21p
tieuvulinhhoa
22-09-2022
7
4
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Information retrieval techniques: Lecture 1. The main topics covered in this chapter include: library management system; structured data storage/tables; semi-structured and unstructured; employee department salary; information retrieval models; search computing;... Please refer to the content of document.
15p
tieuvulinhhoa
22-09-2022
11
4
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Information retrieval techniques: Lecture 2. The main topics covered in this chapter include: what is information retrieval; IR models; the boolean model; considerations on the boolean model;... Please refer to the content of document.
25p
tieuvulinhhoa
22-09-2022
13
4
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Information retrieval techniques: Lecture 3. The main topics covered in this chapter include: boolean retrieval model; rank retrieval model; information retrieval ingredients; westlaw; documents representation; query formulation; query processing;... Please refer to the content of document.
17p
tieuvulinhhoa
22-09-2022
9
4
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Information retrieval techniques: Lecture 4. The main topics covered in this chapter include: vector space retrieval model; the vector model; term frequency tf; document frequency; tf-idf weighting; binary term-document incidence matrix;... Please refer to the content of document.
16p
tieuvulinhhoa
22-09-2022
6
4
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