Causal discovery with prior knowledge is important for improving performance. We consider the incorporation of marginal causal relations, which correspond to the presence or absence of directed paths ...

Abstract: A new scheduling algorithm for dataflow graphs with nested conditional branches is presented. The algorithm employs a bottom-up approach to transform a dataflow graph with conditional ...

Abstract: In its traditional form, the cyclic genetic algorithm (CGA) was found to be a successful method for evolving single loop control programs for legged robots. Its major limitation was the ...

This contains the relevant information for the algorithm that supports learning action models with conditional effects.

This repository presents a groundbreaking approach to speaker diarization using a novel Conditional Hidden Markov Model (CHMM) architecture that dynamically adapts transition probabilities based on ...