ML

Uncategorized

Protected: Application of Support Vector Machines to Multi-Class Classification

Extension to multi-class classification of support vector machines utilized in digital transformation, artificial intelligence , and machine learning tasks (one-to-other, one-to-one, multi-class classification with two-class classification combinations using error correcting output codes and direct multi-class classification)
IOT技術:IOT Technology

Protected: Introduction to Amazon Web Services Networking (4) Connecting and Checking Instances to the Internet

Configuration of public IPs to EC2 instances and Internet gateways in building AWS cloud services for use in digital transformation, artificial intelligence, and machine learning tasks, and verification via SSH
Stream Data Processing

Protected: Time Series Data Analysis (1) – State Space Model

Overview of various state-space models linear and Gaussian state-space models, AR models, autoregressive and moving average ARMA models, component decomposition models, and time-varying coefficient models) for time series data analysis used in digital transformation, artificial intelligence, and machine learning tasks
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
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
web技術:web technology

Protected: Introduction to Amazon Web Services networking (2) Creating VPC regions and subnets

Overview and introduction of procedures for creating VPC regions and subnets for building AWS cloud services used in digital transformation, artificial intelligence, and machine learning tasks.
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