python Overview of softmax functions and related algorithms and implementation examples
Overview of Softmax Functions
A softmax function is a function used to convert a vector of real numbers in...
数学:Mathematics
python python Overview of IsoRankN and examples of algorithms and implementations
Overview of IsoRankN
IsoRankN is one of the algorithms for network alignment, which is the problem of find...
python Overview of Dirichlet distribution and related algorithms and implementation examples
Overview of Dirichlet distribution
The Dirichlet distribution (Dirichlet distribution) is a type of multiv...
python Derivation of the Cramér-Rao Lower Bound (CRLB)
Derivation of the Cramér-Rao Lower Bound (CRLB)
The Clamell-Lauber lower bound provides a lower bound for measu...
python Overview of Gelman-Rubin Statistics and Related Algorithms and Examples of Implementations
Overview of Gelman-Rubin Statistics
The Gelman-Rubin statistic (or Gelman-Rubin diagnostic, Gelman-Rubin statis...
人工知能:Artificial Intelligence The Turing Test, Searle’s Refutation and Artificial Intelligence
The Turing Test and Searle's Response to it
One test for determining that a machine is intelligent is th...
python Overview of Boltzmann Exploration and examples of algorithms and implementations
Overview of Boltzmann Exploration
Boltzmann Exploration is one of the methods used to balance search and ex...
幾何学:Geometry Cross-Entropy Loss
Overview of Cross-Entropy Loss
Cross-Entropy Loss (Cross-Entropy Loss) is one of the common loss functions use...
python Hesse Matrices and Regularity
Overview of Hessian matrix
A Hessian matrix is a matrix representation of the second-order partial derivatives ...
アルゴリズム:Algorithms Protected: Model Building and Inference in Bayesian Inference – Overview and Models of Hidden Markov Models
Model building and inference of Bayesian inference for digital transformation, artificial intelligence, and machine learning tasks - Overview of hidden Markov models and models eigenvalues, hyperparameters, conjugate prior, gamma prior, sequence analysis, gamma distribution, Poisson distribution, mixture models graphical model, simultaneous distribution, transition probability matrix, latent variable, categorical distribution, Dirichlet distribution, state transition diagram, Markov chain, initial probability, state series, sensor data, network logs, speech recognition, natural language processing