by instadatahelp | Sep 1, 2023 | AI Blogs
Clustering and Structural Robustness in Causal Diagrams Authors: Santtu Tikka, Jouni Helske, Juha Karvanen; 24(195):1−32, 2023. Abstract Causal relations are commonly represented and visualized using graphs. While this approach is concise and clear for a small number...
![Controlling the Deep Video Codec (arXiv:2308.16215v1 [eess.IV])](https://instadatanews.com/wp-content/uploads/2023/08/arxiv-logo-fb-1080x675.png)
by instadatahelp | Sep 1, 2023 | AI Blogs
Lossy video compression is widely used for transmitting and storing video data. Despite the availability of advanced compression approaches, the current standard remains unified video codecs like H.264 or H.265. These codecs need to adapt to varying compression...
by instadatahelp | Sep 1, 2023 | AI Blogs
Learning-augmented count-min sketches via Bayesian nonparametrics Emanuele Dolera, Stefano Favaro, Stefano Peluchetti; 24(12):1−60, 2023. Abstract The count-min sketch (CMS) is an efficient randomized data structure that estimates the frequencies of tokens in a data...
by instadatahelp | Sep 1, 2023 | AI Blogs
arXivLabs is a platform that enables collaboration and sharing of new features on our website. Both individuals and organizations working with arXivLabs share our values of openness, community, excellence, and user data privacy. We only partner with those who uphold...
by instadatahelp | Sep 1, 2023 | AI Blogs
Variational Gibbs Inference for Statistical Model Estimation from Incomplete Data Authors: Vaidotas Simkus, Benjamin Rhodes, Michael U. Gutmann; Journal of Machine Learning Research, 24(196):1−72, 2023. Abstract Statistical models play a crucial role in machine...
by instadatahelp | Sep 1, 2023 | AI Blogs
Globally-Consistent Rule-Based Summary-Explanations for Machine Learning Models: Application to Credit-Risk Evaluation Cynthia Rudin, Yaron Shaposhnik; 24(16):1−44, 2023. Abstract This study presents a novel method for comprehending specific predictions made by global...
