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In molecular biology, pseudo amino acid composition (PseACC) is a method introduced by Kuo-Chen Chou to convert the protein sequence into a numerical vector for enhancing pattern recognition techniques, such as during discrimination between classes of proteins based on their sequences (e.g. between membrane proteins, transmembrane proteins, cytosolic proteins, and other types). [1]
PDF – PDF are Portable Document Format.ps, .ps, .gz – PostScript [clarification needed] SNP – SNP are Microsoft Access Report Snapshot; XPS – XPS; XSL-FO – XSL-FO (Formatting Objects) Configurations, Metadata CSS – CSS are Cascading Style Sheets.xslt, .xsl – XML Style Sheet.tpl – Web template
Word2vec is a group of related models that are used to produce word embeddings.These models are shallow, two-layer neural networks that are trained to reconstruct linguistic contexts of words.
Code page 950 is the code page used on Microsoft Windows for Traditional Chinese.It is Microsoft's implementation of the de facto standard Big5 character encoding. The code page is not registered with IANA, [1] and hence, it is not a standard to communicate information over the internet, although it is usually labelled simply as big5, including by Microsoft library functions.
Given a classification of a specific data set, there are four basic combinations of actual data category and assigned category: true positives TP (correct positive assignments), true negatives TN (correct negative assignments), false positives FP (incorrect positive assignments), and false negatives FN (incorrect negative assignments).
The Latent Diffusion Model (LDM) [1] is a diffusion model architecture developed by the CompVis (Computer Vision & Learning) [2] group at LMU Munich. [3]Introduced in 2015, diffusion models (DMs) are trained with the objective of removing successive applications of noise (commonly Gaussian) on training images.
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