Results 41 to 50 of about 12,894,975 (292)
Risk Minimizing Strategies for Revenue Management Problems with Target Values [PDF]
Consider a risk-averse decision maker in the setting of a single-leg dynamic revenue management problem. Instead on focusing on maximizing the expected revenue, the decision maker has the main objective of minimizing the risk of failing to achieve a ...
Meissner, J, Koenig, M
core +4 more sources
Methods for Risk-Based Planning of O&M of Wind Turbines
In order to make wind energy more competitive, the big expenses for operation and maintenance must be reduced. Consistent decisions that minimize the expected costs can be made based on risk-based methods.
Jannie Sønderkær Nielsen +1 more
doaj +1 more source
Detecting and Responding to Concept Drift in Business Processes
Concept drift, which refers to changes in the underlying process structure or customer behaviour over time, is inevitable in business processes, causing challenges in ensuring that the learned model is a proper representation of the new data.
Lingkai Yang +4 more
doaj +1 more source
How do genomes gain new functional parts? In eukaryotes, which tend to evolve under weak selection, much of the genome is junk. Palazzo and Qiu borrow the logic of Markov chains to show how non‐functional DNA becomes functional through the appearance of intermediate states, which arise due to epistasis, buffering, and biochemical messiness, allowing ...
Alexander F. Palazzo, Yi Qiu
wiley +1 more source
Making virtual learning environment more intelligent: application of Markov decision process
Suppose there exist a Virtual Learning Environment in which agent plays a role of the teacher. With time it moves to different states and makes decisions on which action to choose for moving from current state to the next state.
Dalia Baziukaitė
doaj +3 more sources
Membrane composition and thermodynamic identity as boundaries of life for synthetic cell research
What makes a cell a cell? The boundary of a living cell is not just a wall. Read as a Markov blanket, the membrane separates internal from external states, generating identity and non‐equilibrium order. Can this identity be rebuilt from scratch in a synthetic cell?
Caterina Presutti, Bert Poolman
wiley +1 more source
On the detection of Markov decision processes
We study the detection problem for a finite set of Markov decision processes (MDPs) where the MDPs have the same state and action spaces but possibly different probabilistic transition functions. Any one of these MDPs could be the model for some underlying controlled stochastic process, but it is unknown a priori which MDP is the ground truth.
Xiaoming Duan +4 more
openaire +2 more sources
Characterizing Markov Decision Processes [PDF]
Problem characteristics often have a significant influence on the difficulty of solving optimization problems. In this paper, we propose attributes for characterizing Markov Decision Processes (MDPs), and discuss how they affect the performance of reinforcement learning algorithms that use function approximation.
Bohdana Ratitch, Doina Precup
openaire +2 more sources
Incomplete microwave ablation (iMWA) of liver cancer triggers a biphasic progression in residual tumors. At Day 3, the microenvironment is characterized by acute inflammatory responses and extracellular matrix (ECM) remodeling. By Day 14, a profound shift occurs toward oncogenic signal transduction and immunosuppression, marked by macrophage ...
Yu Liu +9 more
wiley +1 more source
Contextual Markov Decision Processes
We consider a planning problem where the dynamics and rewards of the environment depend on a hidden static parameter referred to as the context. The objective is to learn a strategy that maximizes the accumulated reward across all contexts. The new model, called Contextual Markov Decision Process (CMDP), can model a customer's behavior when interacting
Assaf Hallak +2 more
openaire +2 more sources

