Results 211 to 220 of about 937,585 (275)
Using Rewards for Belief State Updates in Partially Observable Markov Decision Processes
Masoumeh T. Izadi, Doina Precup
openalex +1 more source
Dynamic Mixture Vector Autoregressions With Score‐Driven Weights
ABSTRACT We propose a novel dynamic mixture vector autoregressive (VAR) model where the time‐varying mixture weights are driven by the predictive likelihood score. Intuitively, the weight of a component VAR model is increased in the subsequent period if the current observation is more likely to be drawn from this state.
Alexander Georges Gretener+2 more
wiley +1 more source
Multi‐cycle high‐throughput growth media optimization using batch Bayesian optimization
Abstract BACKGROUND The optimization of growth media is a crucial step in enhancing microbial growth and product formation in industrial bioprocesses. While Design of Experiments (DoE) is widely used for this purpose, it has inherent limitations, particularly in capturing complex interactions between media components and managing the high number of ...
Frédéric M. Lapierre+5 more
wiley +1 more source
Independent Sets of Random Trees and Sparse Random Graphs
ABSTRACT An independent set of size k $k$ in a finite undirected graph G $G$ is a set of k $k$ vertices of the graph, no two of which are connected by an edge. Let xk ( G ) ${x}_{k}(G)$ be the number of independent sets of size k $k$ in the graph G $G$ and let α ( G ) = max { k ≥ 0 : x k ( G ) ≠ 0 } $\alpha (G)=\max \{k\ge 0:{x}_{k}(G)\ne 0\}$. In 1987,
Steven Heilman
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Estimation Using Marginal Competitor Sales Information
ABSTRACT An abiding preoccupation for firms is understanding how customers value their products versus competitors' products. This is difficult to quantify and estimate from data as, even if competitor prices are public information, their sales are typically unobservable.
Kalyan Talluri, Müge Tekin
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Nudging Tactics for Enhanced Compliance With Condition‐Based Maintenance Guidelines
ABSTRACT Condition‐based preventive maintenance (CB‐PM), dependent on robust and precise indicators of equipment quality, stands to gain advantages from the integration of sensor technologies. Yet, the effectiveness of such systems relies on an important factor: people.
Mateus do Rego Ferreira Lima+3 more
wiley +1 more source
Abstract The network approach to posttraumatic stress disorder (PTSD) has rapidly developed in recent years, driven by a growing number of empirical studies employing psychometric network analyses to investigate the structure of associations among PTSD symptoms.
Donald J. Robinaugh+3 more
wiley +1 more source