Your English writing platform
Discover LudwigSuggestions(1)
Exact(1)
Unlike traditional dimensionality reduction algorithms such as principal component analysis (PCA) and linear discriminant analysis (LDA), which only see the global Euclidean structure, KMMP is designed for discovering the local manifold structure.
Similar(59)
The protein-based mining is designed for discovering protein functional regions of the query protein by referring to a set of its homologues.
The current paradigm for clinical variant characterization based on next generation sequencing was designed for discovering new variants [ 6] unknown to the scientific community.
Furthermore, BEAGLE is designed for discovering pair-wise IBD regions, and in the extended pedigree they are usually very long.
However, most of the existing algorithms are designed for discovering frequent subgraphs in a set of labeled graphs only.
NMF is designed for discovering interpretable latent components in high-dimensional unlabeled data such as the set of documents described by the counts of unique words.
The searching algorithm of CG-SSR is designed for discovering all perfect and imperfect (with tolerant) SSRs from various genomic sequences efficiently and effectively.
In recent years, several data mining based methods have been designed for discovering interesting patterns in event logs.
In our hybrid approach, we have developed two genetic algorithms (GA) specifically designed for discovering rules covering examples belonging to small disjuncts, whereas a conventional decision tree algorithm is used to produce rules covering examples belonging to large disjuncts.
In essence, examples belonging to large disjuncts are classified by rules produced by a decision-tree algorithm (C4.5), while examples belonging to small disjuncts are classified by a genetic-algorithm specifically designed for discovering small-disjunct rules.
The fact that it was built, that it works, and that it did what it was designed for in discovering the Higgs boson should be celebrated.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com