Most sponsored search auctions use the Generalized Second Price (GSP) rule. Given the GSP rule, they try to give an optimal allocation, an easy task when the only need is to allocate ads to slots. However, when other practical conditions must be fulfilled –such as budget constraints, exploration of the performance of new ads, etc.– optimal allocations are hard to obtain. We provide a method to ...

An extension of Graham’s classification of scheduling problems is proposed to cover Grid Scheduling Problems (GSP). The GSP consists of heterogeneous resources in distributed structures (queues), various jobs, and optimality criteria. We will discuss the characteristics (fault tolerance, competitive behavior) of this model and the hierarchies applied for description of the Grid structure.

An extension of Graham’s classification of scheduling problems is proposed to cover Grid Scheduling Problems (GSP). The GSP consists of heterogeneous resources in distributed structures (queues), various jobs, and optimality criteria. We will discuss the characteristics (fault tolerance, competitive behavior) of this model and the hierarchies applied for description of the Grid structure.

Understanding the importance of temperature and precipitation on plant productivity is beneficial, to reveal potential impact climate change vegetation growth. Although some studies have quantified response at local, regional, global scales, changes in climatic constraints over time are not well understood. This study combines normalized difference index (NDVI) net primary production (NPP) mode...

Grouted Semi-flexible Pavement (GSP) is a novel pavement composed of open-graded asphalt concrete grouted with high-fluidity cement mortar. Due to its excellent load-bearing and anti-rutting performance, it has great potential as overlay surface in road construction. However, the understanding GSP performance remains limited pertinent findings are inconsistent. This article aims provide systema...

We consider the problem of recovering random graph signals from nonlinear measurements. For this setting, closed-form Bayesian estimators are usually intractable and even numerical evaluation may be difficult to compute for large networks. In paper, we propose a signal processing (GSP) framework recovery that utilizes information on structure behind data. First, develop GSP-linear minimum mean-...

We construct an Euler system for Galois representations associated to cohomological cuspidal automorphic of $\operatorname{GSp}\_4$, using the pushforwards Eisenstein classes $\operatorname{GL}\_2 \times \operatorname{GL}\_2$.

BACKGROUND Individuals with social phobia (SP) have altered behavioral and neural responses to emotional faces and are hypothesized to have deficits in inhibiting emotion-related amygdala responses. We tested for such amygdala deficits to emotional faces in a sample of individuals with SP. METHOD We used functional magnetic resonance imaging (fMRI) to examine the neural substrates of emotiona...