Results 11 to 20 of about 2,998,558 (396)
Anomaly Detection by Robust Statistics [PDF]
WIREs Data Mining Knowl. Discov., 2017 Real data often contain anomalous cases, also known as outliers. These may spoil the resulting analysis but they may also contain valuable information. In either case, the ability to detect such anomalies is essential.
Hubert, Mia, Rousseeuw, Peter J.
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Latent Topic Text Representation Learning on Statistical Manifolds [PDF]
IEEE Transactions on Neural Networks and Learning Systems, 2018 The explosive growth of text data requires effective methods to represent and classify these texts. Many text learning methods have been proposed, like statistics-based methods, semantic similarity methods, and deep learning methods. The statistics-based
Chen, H, Cohn, AG, Jiang, B, Li, Z
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Mathematical Representation Ability by Using Project Based Learning on the Topic of Statistics [PDF]
, 2017 Seeing the importance of the role of mathematics in everyday life, mastery of the subject areas of mathematics is a must. Representation ability is one of the fundamental ability that used in mathematics to make connection between abstract idea with ...
Widi Aulia Widakdo
openalex +2 more sources
PLoS ONE, 2022 Although there are several articles that have carried out a systematic literature review of the analytical hierarchy process (AHP), many of them work with a limited number of analyzed documents.
Peter Madzík, Lukáš Falát
semanticscholar +1 more source
A Survey on Nonconvex Regularization-Based Sparse and Low-Rank Recovery in Signal Processing, Statistics, and Machine Learning [PDF]
IEEE Access, 2018 In the past decade, sparse and low-rank recovery has drawn much attention in many areas such as signal/image processing, statistics, bioinformatics, and machine learning.
Fei Wen, L. Chu, Peilin Liu, R. Qiu
semanticscholar +1 more source
LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset [PDF]
International Conference on Learning Representations, 2023 Studying how people interact with large language models (LLMs) in real-world scenarios is increasingly important due to their widespread use in various applications.
Lianmin Zheng +12 more
semanticscholar +1 more source
Basic principles of descriptive statistics in medical research
Сеченовский вестник, 2021 Descriptive statistics provides tools to explore, summarize and illustrate the research data. In this tutorial we discuss two main types of data - qualitative and quantitative variables, and the most common approaches to characterize data distribution ...
N. M. Bulanov +6 more
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Frontiers in Psychology, 2015 Meta-analysis synthesizes a body of research investigating a common research question. Outcomes from meta-analyses provide a more objective and transparent summary of a research area than traditional narrative reviews.
Daniel S Quintana, Daniel S Quintana
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Statistical hypothesis testing: general approach in medical research
Сеченовский вестник, 2021 Statistical hypothesis testing is one of the key steps in modern medical research. Initially, scientists formulate a research hypothesis based on which the statistical hypothesis is then developed and statistically tested.
A. Yu. Suvorov +6 more
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Investigating Public Speaking Anxiety Factors among EFL University Students through Online Learning [PDF]
Applied Research on English Language, 2022 As in many other countries, universities in Indonesia have been closed since March 2020 due to the COVID-19 pandemic lockdown, and lecturers have been forced to adapt to online learning.
Selamat Hasibuan +2 more
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