Sentence examples similar to experiences optimization from inspiring English sources

Moreover, the performance of the proposed scheme is compared with a reference study that assumes a scenario-specific manual learn-by-experience optimization.

The described approaches of[10] can be classified as manual learn-by-experience optimization methods, since in each step a set of values is logically selected for each PC parameter and evaluated against target performance metrics.

CEO Jamie Wilkinson said that's particularly important if a business wants to move to a subscription model — most publishers using VHX currently offer their content transactionally (you buy  one video at a time), but for the ones that have a significant library of content, he suggested that subscriptions are "sort of an inevitable user experience optimization".

In comparison to current studies, which depend on manual learn-by-experience optimization, the automated PC scheme does not require extensive skilled human intervention during the optimization process, and thus significantly reduces the complexity along with reduced cost and optimization time.

In this chapter, to conclude sections dedicated to search experience optimization (SEO), we first review the current state of the mobile web, considering a range of different devices based on their screen size, given that this characteristic is the main determinant of the user experience.

CRO's twin sibling is web usability, aka user experience optimization (UXO).

However, the fastest path to "optimization" and increased profits and growth will come from combining Conversion Rate Optimization, User Experience Optimization AND Search Engine Optimization as a part of an integrated marketing strategy.

The most common methods include selecting functions based on past experience, contrasting optimization from several experiments and finding the optimal parameters through cross-validation (Zhen and Fan 2003).

"Retailers understand that shopping and buying on smartphones is now the norm for consumers, and as a result are delivering better experiences and optimization on mobile devices".

To quantify tacit knowledge (experience) in optimization decision for expert recommendation, experience was defined as a probability, which is relevant to two random variables: quantity of task successfully implemented (strength) and quantity of task failed (stress), and experience is defined as the probability that the former (strength) is larger than the latter (stress).

In this work we present our experience of optimization for Intel Xeon and Intel Xeon Phi.