• Rseslib

  • Referenced in 14 articles [sw30225]
  • rough set and machine learning algorithms and data structures in Java. It provides algorithms...
  • Daikon

  • Referenced in 43 articles [sw04319]
  • machine learning technique that can be applied to arbitrary data. Daikon can detect invariants ... Java, and Perl programs, and in record-structured data sources; it is easy to extend...
  • bmrm

  • Referenced in 19 articles [sw11016]
  • machine learning which make it powerful for big data analysis. The applications includes: structured prediction...
  • Fashion-MNIST

  • Referenced in 11 articles [sw31842]
  • machine learning algorithms, as it shares the same image size, data format and the structure...
  • CMAR

  • Referenced in 48 articles [sw28406]
  • accuracy and strong flexibility at handling unstructured data. However, it still suffers from the huge ... efficiently. Moreover, it applies a CR-tree structure to store and retrieve mined association rules ... databases from the UCI machine learning database repository show that CMAR is consistent, highly effective...
  • Eureka!

  • Referenced in 2 articles [sw00252]
  • hypothesize meaningful structures in the data, and a classification machine learning algorithm, to validate ... dimensional representation of the available data allows a user to partition the search space...
  • VFML

  • Referenced in 6 articles [sw11967]
  • data, to gather sufficient statistics from it, ADTs for several important machine learning structures ... series of tools for working with data sets: cleaning them, sampling them, splitting them into...
  • TPMSVM

  • Referenced in 13 articles [sw12692]
  • machine (par-ν-SVM), this TPMSVM is suitable for many cases, especially when the data ... heteroscedastic error structure, that is, the noise strongly depends on the input value. But there ... advantage in the learning speed compared with the par-ν-SVM. The experimental results...
  • versat

  • Referenced in 9 articles [sw08417]
  • features of modern SAT solvers, including clause learning, watched literals, optimized conflict analysis, non-chronological ... data structures like mutable C arrays for clauses and other solver state, and machine integers...
  • svmod

  • Referenced in 1 article [sw25331]
  • Finding small somatic structural variants in exome sequencing data: a machine learning approach. Genetic variation ... harmful and cause diseases, such as tumors. Structural variants (SV) are an example of complex ... even the complete genome. Here, a machine learning approach is presented to find {it small ... related SVs with the help of sequencing data. The method uses differences in characteristics...
  • DeltaRho

  • Referenced in 1 article [sw30533]
  • flexibility in analytical methods and data structures. Our goal with DeltaRho is to provide flexibility ... machine learning methods available in R, along with any R data structure, to be used...
  • LS-SVMlab

  • Referenced in 26 articles [sw07367]
  • context of statistical learning theory and structural risk minimization. In the methods one solves convex ... typically quadratic programs. Least Squares Support Vector Machines (LS-SVM) are reformulations to the standard ... Fisher discriminant analysis and extensions to unsupervised learning, recurrent networks and control are available. Robustness ... Recent developments are in kernel spectral clustering, data visualization and dimensionality reduction, and survival analysis...
  • Wikipedia Miner

  • Referenced in 10 articles [sw27331]
  • contain summarized versions of Wikipediaʼs content and structure, and includes a Java API to provide ... include parallelized processing of Wikipedia dumps, machine-learned semantic relatedness measures and annotation features ... intended to be a platform for sharing data mining techniques...
  • AUTO-MUTE

  • Referenced in 9 articles [sw16878]
  • residue substitutions in proteins with known native structures. Trained models classify independent mutant test sets ... integration of both energy-based and machine learning approaches. The servers are written ... freely accessed online along with detailed data sets, documentation and performance results at http://proteins.gmu.edu...
  • Rdkit

  • Referenced in 4 articles [sw22741]
  • cheminformatics. A collection of cheminformatics and machine-learning software written in C++ and Python. NOTE ... github.com/rdkit/rdkit. The core algorithms and data structures are written in C++. Wrappers are provided...
  • Elixir

  • Referenced in 1 article [sw25435]
  • application areas like machine learning and network analysis use ”irregular” data structures such as graphs...
  • tree-structured-covariance

  • Referenced in 3 articles [sw23327]
  • structured prediction with taxonomies; (iii) We show that the taxonomies learned from data using ... code of this implementation, as well as machine readable learned taxonomies are available for download...
  • Grobid

  • Referenced in 1 article [sw23214]
  • BIbliographic Data. GROBID is a machine learning library for extracting, parsing and re-structuring...
  • Sketchmap

  • Referenced in 1 article [sw33788]
  • analysing a large set of atomic structures and their properties. Sketchmap is a nonlinear dimensionality ... unsupervised machine learning. Although this particular development was done with sketchmap data in mind ... other properties or data associated with atomic structures might be used in a straightforward...