アルゴリズム:Algorithms

Weight reduction of models through pruning, quantization, etc.

Weight reduction of models through pruning, quantization, etc. Model lightening is an important technique fo...
python

Sampling of Bayesian Networks

Sampling of Bayesian Networks Bayesian network sampling models the stochastic behavior of unknown variabl...
python

Newton-Raphson Method

Overview of Newton-Raphson Method The Newton-Raphson Method is one of the iterative methods for numerical solut...
テクノロジー:Technology

Schwarzschild space-time and the Einstein-Rosen Bridge and Wormhole

Schwarzschild space-time Schwarzschild spacetime (Schwarzschild spacetime) represents a solution in general rel...
テクノロジー:Technology

Importance and challenges of visualisation through prototyping in DX

Visualisation through prototyping in DX Prototyping has an important place in digital transformation (DX) as a ...
python

UMAP (Uniform Manifold Approximation and Projection)

UMAP (Uniform Manifold Approximation and Projection) UMAP is a nonlinear dimensionality reduction method for hi...
python

Overview of services that model each stage of the manufacturing process using GNNs to optimise the design and operation of production lines.

Overview of services that model each stage of the manufacturing process using GNNs to optimise the design a...
アルゴリズム:Algorithms

Overview of Question-Answering Learning and Examples of Algorithms and Implementations

Question-and-Answer-Based Learning Question Answering (QA) is a branch of natural language processing in whi...
python

Overview of Stochastic Gradient Hamiltonian Monte Carlo (SGHMC), its algorithm and examples of implementation

Stochastic Gradient Hamiltonian Monte Carlo(SGHMC) Stochastic Gradient Hamiltonian Monte Carlo (SGHMC) is a typ...
python

Trust Region Method

Overview of Trust Region Method The Trust Region Method is one of the optimization algorithms for solving nonli...
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