Symbolic Logic Inductive logic programming 2020-2021 Papers
In the previous article, we discussed the ILP 2019. This time we will discuss the ILP 2021, which was skipp...
人工知能:Artificial Intelligence
Symbolic Logic アルゴリズム:Algorithms Protected: Maximum Flow and Graph Cutting (2)Maximum Flow Algorithm
Ford-Fulkerson's algorithm and Goldberg-Tarjan's algorithm for the maximum flow problem for directed graphs used in digital transformation, artificial intelligence, and machine learning tasks, pre-flow and push methods, increasing path algorithms, and residual networks
Symbolic Logic Protected: Maximum flow and graph cut (1) Maximum volume and minimum s-t cut
Application of undermodular optimization, an optimization method for discrete information used in digital transformation, artificial intelligence, and machine learning tasks, to minimum cut and maximum flow problems for directed graphs
Symbolic Logic Protected: Maximization of submodular functions and application of the greedy method (2) Sensor placement problem and active learning problem
Application of submodular function maximization and greedy methods to sensor placement and active learning problems in submodular optimization, a method of optimization of discrete information used in digital transformation, artificial intelligence, and machine learning tasks.
Symbolic Logic Graph Structures for knowledge Representation and Reasoning
Graph Structures for knowledge Representation and Reasoning
From Graph Structures for knowledge Representat...
Symbolic Logic Inductive logic Programming 2019
Machine Learning Technology Artificial Intelligence Technology Natural Language Processing Technology Semantic Web Te...
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)
アルゴリズム:Algorithms Protected: Fundamentals of Submodular Optimization (5) Lovász Extension and Multiple Linear Extension
Interpretation of submodularity using Lovász extensions and multiple linear extensions as a basis for submodular optimization, an approach to discrete information used in digital transformation, artificial intelligence, and machine learning tasks
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.