Results 91 to 100 of about 451,378 (309)
Modelling the profitability of credit cards by Markov decision processes
This paper derives a model for the profitability of credit cards, which allow lenders to find the optimal dynamic credit limit policy. The model is a Markov decision process, where the states of the system are based on the borrower's behavioural score ...
Thomas, Lyn C., So, Mee Chi
core +1 more source
Subcellular spatial transcriptomics enables high‐resolution mapping of gene expression within tissues, but accurate cell segmentation is essential for assigning transcripts to individual cells. We present SpaCut, a deep learning framework that integrates transcriptomic features with nucleus‐guided morphological information to precisely delineate cell ...
Yongheng Li, Fangfang Zhu, Wenwen Min
wiley +1 more source
STRIDE: A Sequencing Depth Robust Metric for Sparse Chromosome Conformation Capture Data Comparison
A mean first passage time (MFPT)‐based representation transforms sparse Hi‐C contact maps into robust topological representations, preserving biologically meaningful chromatin features and facilitating robust analysis of TADs, chromatin loops, differential chromatin contacts, and sparse single‐cell Hi‐C data.
Bingxiang Xu +4 more
wiley +1 more source
The use of media opportunities during the presidential elections in Russia in 1996 and 2000
The study of the processes that took place during the elections of the President of the Russian Federation in 1996 and 2000 is relevant today, when our country is on the verge of new elections in 2018.
Evgeniy Markov
doaj +1 more source
Beveridge-Nelson Decomposition with Markov Switching [PDF]
This paper considers Beveridge-Nelson decomposition in a context where the permanent and transitory components both follow a Markov switching process.
Heather Anderson +2 more
core
Accelerating High‐Fidelity Airfoil Design via Physics‐Informed Video Diffusion Model
Physics‐informed video diffusion enables rapid inverse aerodynamic design by mapping target lift‐to‐drag response to airfoil geometries and full‐field flow distributions. Trained on 53 400 DNS samples, the model achieves over 90% fidelity with ∼30 s inference, while experimentally realized propeller designs demonstrate a practical pathway from ...
Yifeng Ai +9 more
wiley +1 more source
On A Markov Game with Incomplete Information [PDF]
We consider an example of a Markov game with lack of information on one side, that was first introduced by Renault (2002). We compute both the value and optimal strategies for a range of parameter values.
Dinah Rosenberg +3 more
core
ReLink: Reliable Deep Learning for Microscopic Motion Tracking
ReLink enables reliable trajectory linking in single‐particle tracking by integrating physics‐informed motion statistics with confidence‐based adaptive filtering. Across diverse simulated and experimental conditions, ReLink robustly reconstructs trajectories and preserves the fidelity of downstream analyses, enabling accurate characterization of ...
Yuan Jiang +7 more
wiley +1 more source
Learning What’s in a Name with Graphical Models
“The UK” is a country, but “The UK Department of Transport” is an organization within that country. In a named entity recognition (NER) task, where we want to label each word with a name tag (organization/person/location/other/not a name), how can a ...
Vu Luong, Justin Selig
doaj +1 more source
Bayesian fusion of hidden Markov models for understanding bimanual movements [PDF]
Understanding hand and body gestures is a part of a wide spectrum of current research in computer vision and human-computer interaction. A part of this can be the recognition of movements in which the two hands move simultaneously to do something or ...
A. Sutherland +5 more
core +2 more sources

