Visualizing non-metric similarities in multiple maps
L Van der Maaten, G Hinton - Machine learning, 2012 - Springer
Techniques for multidimensional scaling visualize objects as points in a low-dimensional
metric map. As a result, the visualizations are subject to the fundamental limitations of metric …
metric map. As a result, the visualizations are subject to the fundamental limitations of metric …
Iterative guided machine learning-assisted systematic literature reviews: a diabetes case study
J Zimmerman, RE Soler, J Lavinder, S Murphy… - Systematic …, 2021 - Springer
Abstract Background Systematic Reviews (SR), studies of studies, use a formal process to
evaluate the quality of scientific literature and determine ensuing effectiveness from …
evaluate the quality of scientific literature and determine ensuing effectiveness from …
Sentiment visualization and classification via semi-supervised nonlinear dimensionality reduction
Sentiment analysis, which detects the subjectivity or polarity of documents, is one of the
fundamental tasks in text data analytics. Recently, the number of documents available online …
fundamental tasks in text data analytics. Recently, the number of documents available online …
An improved semi-supervised dimensionality reduction using feature weighting: application to sentiment analysis
K Kim - Expert Systems with Applications, 2018 - Elsevier
Analyzing a large number of documents for sentiment analysis entails huge complexity and
cost. To alleviate this burden, dimensionality reduction has been applied to documents as a …
cost. To alleviate this burden, dimensionality reduction has been applied to documents as a …
A subjectivity classification framework for sports articles using improved cortical algorithms
The enormous number of articles published daily on the Internet, by a diverse array of
authors, often offers misleading or unwanted information, rendering activities such as sports …
authors, often offers misleading or unwanted information, rendering activities such as sports …
[PDF][PDF] Fast optimization for t-SNE
L Van Der Maaten - In Neural Information Processing Systems (NIPS) …, 2010 - Citeseer
Fast Optimization for t-SNE Page 1 Fast Optimization for t-SNE Laurens van der Maaten
Department of Computer Science and Engineering, University of California, San Diego 9500 …
Department of Computer Science and Engineering, University of California, San Diego 9500 …
[图书][B] Dimensionality Reduction in Data Science
Data science is about solving problems based on observations and data collected in the real
world. Problems may range from the mundane to difficult scientific questions, for example …
world. Problems may range from the mundane to difficult scientific questions, for example …
Visualization of disease relationships by multiple maps t-SNE regularization based on Nesterov accelerated gradient
From a biological standpoint, due to the special combination of complex symptoms, some
type of complex diseases is difficult to be accurately diagnosed. Known as phenotypic …
type of complex diseases is difficult to be accurately diagnosed. Known as phenotypic …
Visualization of non-metric relationships by adaptive learning multiple maps t-SNE regularization
Known as phenotypic overlapping, some disease-rel ated symptoms share a common
pathologi cal and physiological mechanism. Researchers attempt to visualize the …
pathologi cal and physiological mechanism. Researchers attempt to visualize the …
[PDF][PDF] Towards an ACL anthology corpus with logical document structure. An overview of the ACL 2012 Contributed Task
Abstract The ACL 2012 Contributed Task is a community effort aiming to provide the full ACL
Anthology as a high-quality corpus with rich markup, following the TEI P5 guidelines—a new …
Anthology as a high-quality corpus with rich markup, following the TEI P5 guidelines—a new …