Symbolic Logic Knowledge Graphs and Big Data Processing
Machine Learning Technology Artificial Intelligence Technology Natural Language Processing Technology Semantic Web Te...
幾何学:Geometry
Symbolic Logic 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
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.
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 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.
オンライン学習 Protected: Combinatorial online prediction
Combinatorial, online prediction problems with a set of discrete structures as the decision space for digital transformation , artificial intelligence , and machine learning task utilization.
オンライン学習 Protected: Online prediction based on randomness
Randomness-based FPL(Follow the Perturbed Leader) Strategy and Gumbel Distribution for Improving Online Predictive Performance for Digital Transformation , Artificial Intelligence and Machine Learning Tasks
オンライン学習 Protected: Online convex optimization (3) exp concavity and ONS
Convex optimization for online prediction for digital transformation , artificial intelligence , and machine learning tasks (the case of exp concavity and ONS).
グラフ理論 Structural Learning
About Structural Learning
Learning the structure that data has is important for interpreting what the data is a...