insurance buyer (responding as agent) is the problem ofmoral hazard, i.e. the fact that the (risk reduction) actions of the agent are unobservable to the principal (see, e.g. Holmstrom1979). This complicates ma
Hence, it can solve the two limiting problems of NR positioning (i.e., synchronization error and NLOS error). (a) the real reflectors map (b) the extracted geometrical representation to the visible reflectors Figure 1 Mapping the objects/reflectors of the environment to virtual anchors, i....
6. From the side view, there is no risk that a bending moment will happen to turn over the arc panel because the center of gravity of the above body always falls inside the front and back support limits of the cylindrical conveyor rollers, so the body rotation mechanism is in a very ...
For batch labeling problems, Brinker [5] and Xu et al. [48] build on Tong and Koller [42] by explicitly incorporating a diversity measure; Brinker uses a minimax correlation, Xu et al a Kullback-Liebler density distance. Working within the framework of logistic regression, Hoi et al [20]...
In contrast, extending these systems to approach new problems is typically easier than customizing: in this case, the developer has to implement some additional functionalities/classes according to the API of the system. In addition, in this case, however, an optimal implementation might require a...
Figure 8. Examples of geometric shapes of arable land parcels in the Fischbach catchment with different values for CIPQ (figures do not have the same scale); (a) shape with hole; (b) shape with unequal ratio; (c) squared shape; (d) convex shape; data source: [40,41]. 3.2...
One article addresses fundamental limits of MIMO relaying. Four articles fall into the broad area of design and performance analysis of special relaying and distributed precoding schemes. Two articles focus on detection algorithms for relay-assisted wireless systems. Four articles investigate new algorithms...
In Definition 1, the space of (discretised) distributions is a −1-convex subspace of the affine space, (Xmix, Vmix, +). A similar affine structure for the +1-geometry, once the support has been fixed, can be derived from the definitions in [7]. 2.2. Examples Examples 2 and 3 ...
In Definition 1, the space of (discretised) distributions is a −1-convex subspace of the affine space, (Xmix, Vmix, +). A similar affine structure for the +1-geometry, once the support has been fixed, can be derived from the definitions in [7]. 2.2. Examples Examples 2 and 3 ...