Tag: Concept

Information derived from human actions that provides context and guidance for robot learning.

The disparity between human and robot capabilities that complicates the transfer of learned behaviors.

A representation of a sequence of CUDA operations that can be executed on a GPU, allowing for efficient parallel processing.

A statistical distribution where a small number of events or items are extremely common, while a large number are rare.

The process of passing input data through a neural network to obtain output predictions.

The process of adding a small random matrix to another matrix to explore the solution space in optimization problems.

Meta-cognitive monitoring involves self-regulation and awareness of one’s cognitive processes during reasoning.

Hierarchical nesting refers to a cognitive strategy where information is organized in a multi-level structure to facilitate reasoning.

A probabilistic model for community detection where nodes are partitioned into clusters with specified intra- and inter-cluster connection probabilities.

The Kesten–Stigum threshold is a critical point in the study of community detection where the probability of correctly identifying communities transitions from zero to positive.