2 天前 - Infiltration is responsible for one-third to one-half of the space conditioning load of
a typical residential home, but the modeling of infiltration for building energy modeling is …

2 天前 - … That is, the size of the search space grows exponentially with the number of … “quantum”
AND “machine learning” OR “artificial intelligence” returned thousands of works that …

2 天前 - … in a new Rd space d\m ð … space. In other words, the MDS model tries to approximate
the initial and final dissimilarities. In order to obtain a final Rd space similar to the Rm space…

2 天前 - … space such that the between-object distances are preserved as well as possible.
The new dimensional space … space when mapping to the lower-dimensional space. It may be …

2 天前 - … We use this data to train machine learning models to … Finally, we assess several
universal machine learning … instabilities for regions of chemical space that are undersampled in …

2 天前 - Geological formations such as shales and mudstones are extremely tight and difficult
to characterize experimentally. Digital Rock Physics techniques need to be extended in …

2 天前 - … soil, integrating machine learning algorithms with the ACES AP0 color space. Optical
CO2 … The ACES AP0 color space, renowned for its expansive color gamut and perceptual …

2 天前 - … Krein space methods are a potential solution to this … In this thesis, we explore the
application of Krein space … investigate to what extent Krein space methods can be utilised to …

2 天前 - … To improve the robustness of machine learning models to spurious correlations, we
… be close to each other in the representation space when training with ERM, then we employ …

2 天前 - … Over the past ten years, the exponential rise in artificial intelligence and
automation has … This bifurcation of work creates space for the uniquely human capabilities of …