IOT技術:IOT Technology

IOT技術:IOT Technology

Protected: Differences between hidden Markov models and state-space models and parameter estimation for state-space models

Differences between state-space models, Bayesian models, and hidden Markov models used in digital transformation, artificial intelligence, and machine learning tasks, and parameter estimation for state-space models
IOT技術:IOT Technology

Protected: Time series data analysis (2) Filtering Sequential estimation of state and seasonal adjustment model

Prediction of time series using state-space models of time series data utilized in digital transformation, artificial intelligence, and machine learning; interpolation, parameter estimation, and analysis of store sales using component decomposition and standard seasonal adjustment models.
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
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
IOT技術:IOT Technology

Protected: Maximization of submodular functions and application of the greedy method (1) Overview of the greedy method and its application to document summarization

Optimization methods for discrete information used in digital transformation, artificial intelligence, and machine learning tasks: application of greedy methods to undermodular function maximization and its use in document summarization tasks
IOT技術:IOT Technology

Data Stream Processing Architecture (DSMS)

Machine learning and system architecture of data streams (time series data) used for cross-fusion IOT utilization, and data stream management system: DSMS (Data Stream Management System)
IOT技術:IOT Technology

Protected: Fundamentals of Submodular Optimization (4) Approaches by Linear Optimization and Norm Optimization on a Fundamental Polyhedron

Submodular approach by linear optimization and norm optimization on a base polyhedron in submodular optimization, one of the optimization methods for discrete information used in digital transformation, artificial intelligence, and machine learning tasks.
IOT技術:IOT Technology

Front-end development in Javascript and React

  Overview of Javascript and its libraries, frameworks and AltJS JavaScript (commonly known as JS) is a program...
IOT技術:IOT Technology

ISWC2021 Papers

ISWC2021 Papers From ISWC2021, an international conference on Semantic Web technologies, one of the artificial...
タイトルとURLをコピーしました