What is linearity in matrices? Matrix: For any three matrices {eq}A,B,C {/eq} in space, we say them linearly dependent for some scalars {eq}s,t {/eq} if there exists the linear combination {eq}A=sB+tC {/eq} . If such scalars cease to exists the matrices are said to be linea...
In the analogy used above, Jim bought cheap adapters to plug his appliances into the wall. Low-rank matrices are like those cheap adapters, with the outlets being the original machine learning models. How does machine learning work? Machine learningis a term that refers to a type of statistic...
Conservation is assumed to be born in the phase, just as momentum is for instance. In other words, all known phenomena in physics are deterministic, classical and real, in the sense that information does propagate locally and experiments conducted statistically do hide latent variables....
Reported results show that ultrasound can be applied, alone or in assisted conditions, to several food matrices, such as meats, fresh products, juices, cereals, and fermented products. However, its use still presents some challenges that include the difficulty of large-scale applications. Recent ...
Among mammals living in social groups, individuals form communication networks where they signal their identity and social status, facilitating social interaction. In spite of its importance for understanding of mammalian societies, the coding of individ
Plan evaluation is a key step in the radiotherapy treatment workflow. Central to this step is the assessment of treatment plan quality. Hence, it is important to agree on what we mean by plan quality and to be fully aware of which parameters it depends on. We understand plan quality in ra...
Hydrogel-forming MN are composed of physically- or chemically-crosslinked hydrophilic, swellable polymer matrices. Donnelly et al. (2012) were the first to report the use of hydrogel-forming MN, proving that the creation of aqueous pores in the stratum corneum offered the potential for high-dose...
Whilst the add- in calculates the historical variances and correlations between assets, UNIVVAR also supports historical Garch simulation without variance/correlation matrices, which considerably improves robustness and accuracy. Combining UNIVVAR and UNIVDRV - Universal Derivatives Add-in When UNIVVAR is...
Indeed, since Galison, hardly any work has been done to reconsider this almost mythical beginning of computer simulation in the ENIAC context. In the meantime, in the more philosophical and epistemological literature, it has become clear that 'computer simulation' does not have one stable meaning ...
could be favorable to prevent induction - if the needed infrastructure (supporting circuits, power and communication lines) per package does not obliterate that advantage. MRI scanners can measure very low signal intensities. In the optimal case, only the thermal noise of the patient should limit ...