Sentence examples for approaches often provide from inspiring English sources

However, due to limited available information, distributed approaches often provide suboptimal results and therefore offset the benefits to some extent.

Nevertheless, these computational approaches often provide numerous target candidates with a large number of false positives because of the weak complementarity between miRNAs and 3'-UTRs [ 20].

To support the first approach, cities' authorities often provide guidelines and regulations for the construction of adequate freight parking infrastructure.

Indeed, the greedy hill climbing approach is known to have potential to overfit the data, particularly given limited data, and such non-specialized optimization approaches are known to often provide non-useful networks [ 34].

In a more modern proof-theoretical approach, however, definition rules often provide a more convenient alternative.

The problem of coordinating parameters can be solved adopting basically two types of solutions: (1) centralized approach, which yields the optimal global parameter vector, and (2) distributed approaches, which on one hand often provide suboptimal solutions through greedy techniques such as non-cooperative games, but on the other hand can provide near-optimal solutions by using a factor graph.

However, these approaches when used in isolation often provide an overwhelming amount of information that requires careful selection and validation.

Organometallic chemistry has a well-established tradition of using ligand descriptors to identify steric and electronic effects on the properties and behaviours of transition metal complexes [5, 18, 23], because ligands often provide a convenient approach to the fine-tuning and optimisation of complex properties.

Scenarios often provide the best way of approaching that challenge of brining a future perspective into present decisions.

"Traditional" approaches to sampling groundwater and interpreting monitoring well data often provide misleading pictures of plume shape and location in the subsurface and the true extent of contamination.

Machine learning approaches, such as artificial neural networks (ANN) or SVM, often provide competitive models for such problems.