Results 181 to 190 of about 1,517,214 (350)
Creativity and Markov Decision Processes
Creativity is already regularly attributed to AI systems outside specialised computational creativity (CC) communities. However, the evaluation of creativity in AI at large typically lacks grounding in creativity theory, which can promote inappropriate attributions and limit the analysis of creative behaviour.
Lahikainen, Joonas+2 more
openaire +3 more sources
Comparative Effectiveness of Different Combinations of Treatment Interventions in Patients with Stroke at the Convalescence Stage Based on the Markov Decision Process. [PDF]
Shen Y+7 more
europepmc +1 more source
Adaptive Cross-layer Optimization Based on Markov Decision Process
Zoran Veličković, Milojko Jevtović
openalex +2 more sources
Surveillance imaging for patients with head and neck cancer treated with definitive radiotherapy: A partially observed Markov decision process model. [PDF]
Ng SP+14 more
europepmc +1 more source
This paper uses a numerical landscape evolution model to reconstruct the topographic history of Madagascar since the Late Cretaceous. The model is optimised by balancing the volumes of onshore erosion and offshore sedimentation; the former is predicted with erosion laws and based on uplift history inferred from elevated planation surfaces.
Ruohong Jiao+4 more
wiley +1 more source
Solution algorithms for Markov decision processes and sequential analysis
John Richard Schmid
openalex +1 more source
Characterization of the Cubamyces Menziesii Terpenome
The genome of Cubamyces menziesii reveals 18 putative sesquiterpene cyclase genes. These genes are cloned and expressed in Escherichia coli, yielding 10 active enzymes. Using farnesyl diphosphate as substrate, the enzymes are analyzed, and the products characterized after bioconversion, uncovering diverse sesquiterpene structures. This study highlights
Létitia Leydet+10 more
wiley +1 more source
Optimized Task Assignment and Predictive Maintenance for Industrial Machines using Markov Decision Process [PDF]
This paper considers a distributed decision-making approach for manufacturing task assignment and condition-based machine health maintenance. Our approach considers information sharing between the task assignment and health management decision-making agents. We propose the design of the decision-making agents based on Markov decision processes. The key
arxiv