Sentence examples for performance in problems from inspiring English sources

We extend the traditional HTM paradigm with an original top node in order to improve HTMs performance in problems where instances unfold over time.

We show that the proposed method has excellent performance in problems with large displacements, and that it agrees well with a standard ALE method in problems with mild displacement.

The developed algorithm achieved results which show very good performance in problem instances with up to 50 nodes and promising performance in bigger problem instances.

Firstly, adopting concept mapping strategy can significantly improve students' performance in problem solving compared to using traditional teaching methods.

To estimate performance in problem solving, we measured the latency from first visual contact to eating the food.

To estimate performance in problem solving, we used two different measures: (i) the total latency since the first visual contact until the bird opened the well and ate the food; and (ii) the latency since the first bill peck delivered to the wooden well until the bird opened the lid and ate the food.

In other words, providing evaluative feedback (in this case, grades) after a task does not appear to enhance students' future performance in problem solving.

It highlights how different performance in problem solving task are not always symptomatic of species differences in cognitive ability or general intelligence.

Austin et al. reported a significant correlation between EI and students' performance in problem-based learning sessions but no correlation was found between EI and end-of-year examination marks [ 31].

While increasing time on task alone has little effect on student academic achievement (Plant et al., 2005), students who engage in deliberate practice have higher performance in problem-oriented courses, such as accounting and chemistry (Crippen and Brooks, 2009; Yu, 2011).

More generally, the PFC is viewed to support successful performance in "problem solving" tasks—of which the transitive inference task can be considered one example through rule learning at multiple levels of abstraction and relational complexity (e.g., Koechlin and Summerfield, 2007; Badre, 2008; Badre et al., 2010).