• CVX

  • Referenced in 720 articles [sw04594]
  • conveniently formulate and solve constrained norm minimization, entropy maximization, determinant maximization, and many other convex...
  • K2

  • Referenced in 100 articles [sw19597]
  • possible, to derive dynamical invariants, like K2 entropy, from the recurrence plots. For further explanation...
  • kappalab

  • Referenced in 49 articles [sw06086]
  • method based on linear programming, a maximum entropy like method based on variance minimization ... unsupervised approach grounded on parametric entropies. The functions contained in Kappalab can for instance...
  • Edgebreaker

  • Referenced in 53 articles [sw04117]
  • bits per triangle for the connectivity. Entropy encoding reduces this cost in practice to less...
  • COOLCAT

  • Referenced in 28 articles [sw37383]
  • COOLCAT: an entropy-based algorithm for categorical clustering. In this paper we explore the connection ... between clustering categorical data and entropy: clusters of similar poi lower entropy than those ... rooted on the well-known notion of entropy. Most importantly, COOLCAT is well equipped...
  • GENERIC

  • Referenced in 28 articles [sw08150]
  • effects and the role of the free entropy (Massieu potential) as the driving potential ... variable and the temperature with a reduced entropy as driving functional...
  • MALLET

  • Referenced in 21 articles [sw10602]
  • variety of algorithms (including Naïve Bayes, Maximum Entropy, and Decision Trees), and code for evaluating ... text. Algorithms include Hidden Markov Models, Maximum Entropy Markov Models, and Conditional Random Fields. These...
  • Stanford Tagger

  • Referenced in 22 articles [sw07978]
  • Knowledge Sources Used in a Maximum Entropy Part-of-Speech Tagger. In Proceedings...
  • LeZi-update

  • Referenced in 18 articles [sw01541]
  • under an information-theoretic framework. Shannon’s entropy measure is identified as a basis...
  • meboot

  • Referenced in 12 articles [sw10488]
  • Maximum Entropy Bootstrap for Time Series: The meboot R Package. The maximum entropy bootstrap...
  • dbEmpLikeGOF

  • Referenced in 9 articles [sw21505]
  • sample comparison tests using sample entropy. Goodness-of-fit and two sample comparison tests using ... sample entropy...
  • JIDT

  • Referenced in 9 articles [sw23550]
  • includes implementations: principally for the measures transfer entropy, mutual information, and their conditional variants ... well as active information storage, entropy, etc; for both discrete and continuous-valued data; using...
  • CDNA

  • Referenced in 9 articles [sw37103]
  • produce the results reported in Significantly lower entropy estimates for natural DNA sequences . Its purpose ... Expectation Maximization). Our focus in Significantly lower entropy estimates for natural DNA sequences...
  • FSMRDE

  • Referenced in 7 articles [sw22250]
  • relative decision entropy-based feature selection approach. Rough set theory has been proven ... propose a new model of relative decision entropy, which is an extension of Shannon ... information entropy in rough sets. Moreover, to test the effectiveness of FSMRDE, we apply ... show that by using the relative decision entropy-based feature significance as heuristic information, FSMRDE...
  • DINAMelt

  • Referenced in 12 articles [sw36131]
  • fractions together with the free energy, enthalpy, entropy and heat capacity of the ensemble. Ultraviolet...
  • TRIOPT

  • Referenced in 6 articles [sw02486]
  • nonlinear transformation function and their aggregate entropy is calculated. Based on this entropy, partitions that ... calculation of transformed values. Hence, revised entropies change the direction of the search ... search policy which is based on an entropy cut. The tree adopts flexible breadth depending...
  • Medlda

  • Referenced in 11 articles [sw11723]
  • this paper, we propose the maximum entropy discrimination latent Dirichlet allocation (MedLDA) model, which integrates...
  • MuTE

  • Referenced in 6 articles [sw19722]
  • novel estimators of the multivariate transfer entropy. A challenge for physiologists and neuroscientists ... data and their interactions. Transfer entropy has emerged as a powerful tool to quantify directed ... compare different approaches to evaluate transfer entropy, some of them already proposed, some novel...
  • QCMPI

  • Referenced in 9 articles [sw01149]
  • noise effects are implemented. Density matrix and entropy evaluations are provided in both single...
  • PETROPY

  • Referenced in 6 articles [sw19596]
  • TOCSY - Toolboxes for Complex Systems: PETROPY. Permutation entropy provides a simple and robust method ... values into account. Furthermore, permutation entropy can be used to determine embedding parameters or identify...