Comparative review
By K. Wolf. J. Documentation, 2011
549 citations recorded by the source corpus.
Subfields: Public Health, Environmental and Occupational Health, Small Animals, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/44202b5d1fee91c0cb896e11f7b2bb2e4d22f238
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Public Health, Environmental and Occupational Health
In Small Animals
In Statistics and Probability
- Anirudh Goyal
- Yoshua Bengio
- Alex Graves
- Kyunghyun Cho
- Tijmen Blankevoort
- Rudolph van der Merwe
- Carl John Scarrott
- Eric A. Wan
Citations in the corpus
- Inductive biases for deep learning of higher-level cognition (2020, background): “models only represent the declarative knowledge and typically require expensive but generic iterative computations (such as Monte-Carlo Markov chains) to perform approximate inference [209,210].”
- Measures of emotion: A review (2009, unknown): “These studies have found higher levels of convergence than prior studies, but the relevant correlations were still low to moderate in strength (e.g., Mauss et al., 2005).”
- Condensation on slippery asymmetric bumps (2015, unknown): “In summary, we have achieved unprecedented droplet growth and transport by designing surfaces covered with slippery asymmetric bumps based on quantitative models that integrate three mechanisms— (1) optimization of focused diffusion flux by the radius of curvature and shape of the apex, (2) asymmetr”