2022-05

アルゴリズム:Algorithms

Protected: Structural regularization learning using submodular optimization (2) Structural sparsity obtained from submodular functions

Structural regularization learning (coupled Lasso and Lovász extensions) by structural sparsity obtained from submodular functions in submodular optimization, an optimization method for discrete information used in digital transformation, artificial intelligence, and machine learning tasks.
web技術:web technology

Protected: Introduction to Amazon Web Services Networking (3) Overview and Deployment of EC2 Instances

Overview of EC2 and procedures for launching AWS cloud services for digital transformation, artificial intelligence, and machine learning tasks
PHP

Protected: Web page development using Laravel (5) Application architecture

Overview of application architecture (MVC, ADR) in Laravel, a web application framework in PHP used for digital transformation , artificial intelligence and machine learning tasks
アート:Art

Travel , History , Sports and Arts

About Travel , History , Sports and Arts The quality of digital game character AI is also determined by the basi...

On the Road – Koshu Kaido and the Edo Shogunate

From Ryotaro Shiba's Kaido yuku, it describes the vastness of Musashino as recited by Ota Dokan, the Bando people in "Sarashina Nikki", the story of Hideyoshi and Ieyasu's companion, Hachioji Sen-nin Doshin and Isamu Kondo and finally Tokugawa Yoshinobu.
Symbolic Logic

Knowledge Graphs and Big Data Processing

Machine Learning Technology  Artificial Intelligence Technology  Natural Language Processing Technology  Semantic Web Te...
Symbolic Logic

Reasoning Web 2007 Papers

Machine Learning Technology  Artificial Intelligence Technology  Natural Language Processing Technology  Semantic Web Te...
IOT技術:IOT Technology

Protected: Structural regularization learning with submodular optimization (1) Regularization and p-norm review

Review of sparse modeling, regularization and p-norm to consider structural regularization learning with submodular optimization, an optimization technique for discrete information for digital transformation, artificial intelligence and machine learning tasks
IOT技術:IOT Technology

Protected: Maximum Flow and Graph Cut (4) Graphically Representable Submodular Functions

Maximum flow algorithms and pre-flow push methods in graphically representable submodular functions for submodular optimization, an optimization approach for discrete information utilized in digital transformation, artificial intelligence, and machine learning tasks
Symbolic Logic

Protected: Maximum Flow and Graph Cut (3) Inference and Graph Cut in Markov Stochastic Fields

Inference and graph cuts in Markov stochastic fields for graph maximal flow extraction by undermodular optimization, a discrete information optimization method for digital transformation, artificial intelligence, and machine learning tasks
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