A weak entwining structure in a 2-category K consists of a monad t and a comonad c, together with a 2-cell relating both structures in a way that generalizes a mixed distributive law. A weak entwining structure can be characterized as a compatible pair of a monad and a comonad, in 2-categories generalizing the 2-category of comonads and the 2-category of monads in K , respectively. This observa...

The ontogeny of osmoregulation, the development of branchial transporting epithelia and the expression of the enzyme Na+/K+-ATPase were studied in Carcinus maenas (L.) obtained from the North Sea, Germany. Laboratory-reared zoea larvae, megalopae and young crabs were exposed to a wide range of salinities, and hemolymph osmolality was measured after 24 h exposure time (72 h in juveniles). Zoea I...

Hyper-spectral Atmospheric Infrared Sounder has many channels. Although, it has been carried out channel selection in the actual application process, but compared with the previous detector, the channel also seems more and thus easy to weak correlation between channels, which is not obey classical variational assimilation theory requires observation error is not related. Hyper-spectral sounder ...

During this week’s practical we will focus on understanding and comparing the performance of the different classification methods seen in class, namely SVM and its variants (C-SVM and ν-SVM, RVM) and an instance of a Boosting method, specifically AdaBoost. In non-linear classification methods such as SVM/RVM, we seek to find the optimal hyper-parameters (C: penalty, ν: bounds, σ: kernel width f...

We present a variant of the hyper-quadtree that divides a multidimensional space according to the hyperplanes associated to the principal components of the data in each hyperquadrant. Each of the 2 hyper-quadrants is a data partition in a λ-dimension subspace, whose intrinsic dimensionality λ ≤ d is reduced from the root dimensionality d by the principal components analysis, which discards the ...

In a typical supervised data analysis task, one needs to perform the following two tasks: (a) select the best combination of learning methods (e.g., for variable selection and classifier) and tune their hyper-parameters (e.g., K in K-NN), also called model selection, and (b) provide an estimate of the performance of the final, reported model. Combining the two tasks is not trivial because when ...

Human Perceptual Overestimation of Whole-Body Roll Tilt in Hyper-Gravity 1 2 Running title: Roll Perception in Hyper-Gravity 3 4 Torin K. Clark 5 Michael C. Newman 6 Charles M. Oman 7 Daniel M. Merfeld 8 Laurence R. Young 9 10 11 1 Man Vehicle Laboratory 12 Department of Aeronautics and Astronautics 13 Massachusetts Institute of Technology 14 Cambridge, MA, USA 15 16 2 Charles Stark Draper Labo...