Sentence examples for more refined algorithm from inspiring English sources

GSEA proved to be a flexible and effective tool for application of gene classifiers but a similar and more refined algorithm, connectivity mapping, should also be explored.

Even though more refined algorithms and implementations (sequential or parallel) for the stated problems exist, the complexity and performance of the introduced algorithms is sufficient to raise the issues that are important in architecture independent parallel algorithm design.

With unlimited "shelf" space available online and more refined search algorithms to direct people to songs and books they might be interested in, niche products would attract more attention and a greater share of spending.Ms Elberse originally refuted Mr Anderson's work in a 2008 article for the Harvard Business Review, which is the basis for her book.

This could aid in the development of more refined identification algorithms.

Note that the PC algorithm is more refined than our algorithm, primarily due to additional steps that aim at removing spurious edges (i.e. those edges that are induced between otherwise uncorrelated parent nodes by conditioning on a common child node).

These new procedures and data points will also allow a more refined assessment of algorithm-driven treatment in the future.

This guess enables the algorithm to reach more refined solution iteratively by ensuring fast convergence.

Microarray technology is progressing rapidly as better sequencing and prediction algorithms allows for more refined gene prediction.

Moreover, we show that a more refined learning solution, based on the Actor Critic algorithm, is significantly more efficient than a simpler solution based on Q-Learning.

We used a more refined statistical analysis using the Metropolis–Hastings algorithm (Metropolis et al, 1953; Hastings, 1970), an MCMC method.

Study has shown that the new NCI combined index is a more refined, easier to implement co-morbidity measurement algorithm appropriate for investigators using administrative claims databases to study commonly occurring cancers (Klabunde et al, 2007).