• OptShrink

  • Referenced in 15 articles [sw33657]
  • random matrix theory. It can be used in the missing data setting...
  • EOlib

  • Referenced in 19 articles [sw00239]
  • theory of evolution, that solve various problems. They evolve a set of solutions ... stochastic algorithms, because they iteratively use random processes. The vast majority of these methods...
  • QUAD

  • Referenced in 14 articles [sw19553]
  • 25th annual international conference on the theory and applications of cryptographic techniques, St. Petersburg, Russia ... relies on the iteration of a set of multivariate quadratic polynomials over a finite field ... problem of solving a random system of m equations in n unknowns. We show furthermore...
  • JUNG

  • Referenced in 11 articles [sw12112]
  • creation of analytic tools for complex data sets that can examine the relations between entities ... theory, data mining, and social network analysis, such as routines for clustering, decomposition, optimization, random...
  • tuftests

  • Referenced in 4 articles [sw26318]
  • Tests. Note that these tests concern the randomness of a generator’s output ... seem to be adequate for producing a set of uniform reals ... number theory-- for example, establishing probable primes, complexity of factoring algorithms, random partitions of large...
  • FISim

  • Referenced in 3 articles [sw35291]
  • provides excellent results when dealing with sets of randomly generated motifs, and outperforms the remaining ... cluster methodology based on kernel theory together with FISim to obtain groups of related motifs...
  • MAMMOTH

  • Referenced in 11 articles [sw26215]
  • MAMMOTH (matching molecular models obtained from theory): an automated method for model comparison. Advances ... used to show that it can describe random structural alignments of proteins with different folds ... established, consensus manual-based scores and data sets. We found that the new approach correlates...
  • ROCKET

  • Referenced in 11 articles [sw30016]
  • random variables, where an edge between two random variables is drawn if they are conditionally ... properties of the estimators beyond the Gaussian setting. In this paper, we focus on inference ... ROCKET in an ultra high-dimensional setting under mild assumptions, without relying on oracle model ... agrees with the distribution predicted by the theory...
  • RKHS

  • Referenced in 4 articles [sw03078]
  • functional data analysis Linear combinations of random variables play a crucial role in multivariate analysis ... space representation of a stochastic process. This theory is then used to provide an extension ... also generalized to the functional data setting. Finally, the relationship between Fisher’s linear discriminant ... analysis and canonical correlation analysis for random vectors is extended to include situations with function...
  • Algorithm 800

  • Referenced in 9 articles [sw04405]
  • square-reduced method. The authors describe a set of LAPACK-based Fortran 77 subroutines ... include several applications in control theory. Tests on randomly generated matrices confirm that the reduction...
  • L2WPMA

  • Referenced in 8 articles [sw04326]
  • approximation to n univariate data contaminated by random errors. The underlying method minimizes the weighted ... data into at most k disjoint sets of adjacent data and solves ... monotonic fit or isotonic regression) for each set. So it calculates efficiently a global solution ... been tested on a variety of data sets showing a performance that does provide...
  • MCdevelop

  • Referenced in 4 articles [sw09208]
  • software needed for advanced precision quantum field theory calculations for the past LEP experiments ... involve independent generation of large sets of random “events”, often requiring considerable CPU power. Since...
  • nlmeU

  • Referenced in 4 articles [sw07431]
  • also emphasise the features of both theory and chosen software (R, namely the LMM packages ... description of models with crossed and nested random effects. The detailed description of concepts ... them is followed by a new set of examples which model visual acuity (chapter ... addition to a great collection of theory and examples, a state of art description...
  • FEYNMAN

  • Referenced in 5 articles [sw06056]
  • requires a search or optimization over the set of quantum states and, hence, a parametrization ... this kind of studies in quantum information theory, here we present an extension ... heuristic studies which make use of random states, unitary matrices and other objects...
  • dit

  • Referenced in 3 articles [sw29392]
  • probability and statistics, quantifying dependencies among arbitrary random variables in a way tha tis consistent ... comparable across systems and scales. Information theory was originally developed to quantify how quickly ... these quantities and methods into unknown, multivariate settings where the interpretation and best practices...
  • CAMLET

  • Referenced in 1 article [sw30106]
  • with better competence to a given data set, using process and object ontologies. Afterwards, CAMLET ... random generation and heuristic alteration. Using the UCI repository of ML databases and domain theories...
  • rft1d

  • Referenced in 1 article [sw24022]
  • smooth, thresholded n-dimensional Gaussian continua, random field theory (RFT) describes probabilities associated with both ... applied to yield statistical inferences regarding sets of experimental 1D fields...
  • GPB

  • Referenced in 3 articles [sw18875]
  • independent but not identically distributed Bernoulli random variables whose success probabilities vary. In this paper ... such as voting theory, actuarial science, warranty prediction, and probability theory. With few previous works ... time of the algorithm in various parameter settings. Finally, we discus the factors affecting...
  • PyGSP

  • Referenced in 2 articles [sw22598]
  • filters. Its core is spectral graph theory, and many of the provided operations scale ... Minnesota road network; to models for generating random graphs like stochastic block models, sensor networks ... custom filter bank by defining a set of functions in the spectral domain...
  • FReET

  • Referenced in 1 article [sw22080]
  • used for both random variables and random fields. Sensitivity analysis is based on non-parametric ... addition of simulations to a current sample set while maintaining the desired correlation structure ... user-friendly implementation of the theory within FReET commercial multipurpose reliability software. FReET-D software...