Deductive reasoning and inductive learning are the most common approaches for deriving knowledge. In real world applications when data is dynamic and incomplete, especially those ...
Colorization aims at recovering the original color of a monochrome image from only a few color pixels. A stateof-the-art approach is based on matrix completion, which assumes that...
Concept learning is a central problem for cognitive systems. Generalization techniques can help organize examples by their commonalities, but comparisons with non-examples, near-m...
Matthew D. McLure, Scott E. Friedman, Kenneth D. F...
Reinforcement learning for robot control tasks in continuous environments is a challenging problem due to the dimensionality of the state and action spaces, time and resource cost...
Argumentation can be viewed as a process of generating explanations. However, existing argumentation semantics are developed for identifying acceptable arguments within a set, rat...