
CVX
 Referenced in 249 articles
[sw04594]
 conveniently formulate and solve constrained norm minimization, entropy maximization, determinant maximization, and many other convex...

Edgebreaker
 Referenced in 51 articles
[sw04117]
 bits per triangle for the connectivity. Entropy encoding reduces this cost in practice to less...

kappalab
 Referenced in 26 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...

MALLET
 Referenced in 15 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...

LeZiupdate
 Referenced in 18 articles
[sw01541]
 under an informationtheoretic framework. Shannon’s entropy measure is identified as a basis...

GENERIC
 Referenced in 11 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...

Stanford Tagger
 Referenced in 15 articles
[sw07978]
 Knowledge Sources Used in a Maximum Entropy PartofSpeech Tagger. In Proceedings...

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...

LLEC
 Referenced in 4 articles
[sw02410]
 requirement. A Lowcomplexity and Lowmemory Entropy Coder (LLEC) for image compression is proposed ... Interest) coding and as a universal entropy coder...

ExpertGuide
 Referenced in 5 articles
[sw01589]
 library from several viewpoints. Question selection by entropy finds most effective questions in discriminating cases...

Medlda
 Referenced in 5 articles
[sw11723]
 this paper, we propose the maximum entropy discrimination latent Dirichlet allocation (MedLDA) model, which integrates...

PUFKY
 Referenced in 3 articles
[sw12225]
 design, producing responses with up to 99% entropy. A very high key reliability is guaranteed ... decoder and a cryptographic entropy accumulator, utilizes merely 17% (1162slices) of the available resources...

Maximum Entropy Modeling Toolkit
 Referenced in 2 articles
[sw05533]
 Maximum Entropy Toolkit provides a set of tools and library for constructing maximum entropy (maxent ... Python or C++. It features conditional maximum entropy models, LBFGS and GIS parameter estimation...

QCMPI
 Referenced in 4 articles
[sw01149]
 noise effects are implemented. Density matrix and entropy evaluations are provided in both single...

meboot
 Referenced in 2 articles
[sw10488]
 Maximum Entropy Bootstrap for Time Series: The meboot R Package. The maximum entropy bootstrap...

Chaos
 Referenced in 3 articles
[sw01127]
 power spectra, Lyapunov exponents and Kolmogorov–Sinai entropy. Various well known examples are implemented, with...

RankAggreg
 Referenced in 3 articles
[sw07957]
 using several different algorithms: Borda count, CrossEntropy Monte Carlo algorithm, Genetic algorithm...

minet
 Referenced in 3 articles
[sw08432]
 transcriptional) genetogene interaction. Four different entropy estimators are made available in the package...

npeet
 Referenced in 1 article
[sw14336]
 Parametric Entropy Estimation Toolbox (NPEET). This package contains Python code implementing several entropy estimation functions ... making modern stateoftheart entropy estimation methods accessible in a single easy ... numpy/scipy be installed. It includes estimators for entropy, mutual information, and conditional mutual information...

Nomad
 Referenced in 1 article
[sw09378]
 also known as ”blocks”. By using an entropybased objective function that takes into account ... protein sequences. This objective function, the shared entropy, has been shown to be significantly more ... reliable than the relative entropy when protein sequences to be aligned are distantly related...