Multivariate discrete probability distributions Multivariate continuous probability distributions Multivariate Student's t distribution A multivariate generalization of the Student's t distribution Multivariate normal distribution A multivariate generalization of the normal distribution, frequently used in statistics ...
go-nlp - Utilities for working with discrete probability distributions and other tools useful for doing NLP work. go-pinyin - CN Hanzi to Hanyu Pinyin converter. go-stem - Implementation of the porter stemming algorithm. go-unidecode - ASCII transliterations of Unicode text. go2vec - Reader an...
RDataSets - Julia package for loading many of the data sets available in R. DataFrames - library for working with tabular data in Julia. Distributions - A Julia package for probability distributions and associated functions. Data Arrays - Data structures that allow missing values. [Deprecated] Ti...
This class teaches you how to solve complex search problems with discrete optimization, including constraint programming, local search, and mixed-integer programming. Optimization technology is ubiquitous in our society. It schedules planes and their crews, coordinates the production of steel, and ...
Random variables and probability distributions, probability distributions, expected values and functions of random variables, properties of commonly used discrete and continuous distributions Random sampling, density and distribution functions for jointly distributed random variables, computing expected values of ...
7832 A WASSERSTEIN GRAPH DISTANCE BASED ON DISTRIBUTIONS OF PROBABILISTIC NODE EMBEDDINGS 8952 A weighted-variance variational autoencoder model for speech enhancement 8961 AAT: ADAPTING AUDIO TRANSFORMER FOR VARIOUS ACOUSTICS RECOGNITION TASKS 11506 Absolute Security in Terahertz Wireless Links 3666 ACCELERATED...
RDataSets - Julia package for loading many of the data sets available in R. DataFrames - library for working with tabular data in Julia. Distributions - A Julia package for probability distributions and associated functions. Data Arrays - Data structures that allow missing values. [Deprecated] Ti...
Snir The power of parallel prefix IEEE Trans. Comput., 34 (10) (1985), pp. 965-968 Google Scholar 11. N.J. Johnson, S. Kotz Discrete Distributions Houghton Mifflin, Boston (1969) Google Scholar 12. N. Megiddo Parallel algorithms for finding the maximum and the median almost surely in ...
distributions/bernoulli.json /usr/lib/bali-phy/bindings/distributions/beta.json /usr/lib/bali-phy/bindings/distributions/binomial.json /usr/lib/bali-phy/bindings/distributions/cauchy.json /usr/lib/bali-phy/bindings/distributions/exponential.json /usr/lib/bali-phy/bindings/distributions/gamma.json /usr...
Understand the foundations of probability and its relationship to statistics and data science. We’ll learn what it means to calculate a probability, independent and dependent outcomes, and conditional events. We’ll study discrete and continuous random variables and see how this fits with data colle...