Sentence examples for features for problem from inspiring English sources

For problem (1), they reported an overall accuracy of 72.8% using 62 features; for problem (2), an accuracy of 69.8% with 43 features, and for problem (3), an accuracy of 67.8% with 122 features.

In Section 3 we describe the Inside Vector Multiplication Template - a template which extracts features for problems to which Valiant's algorithm can be applied.

Furthermore, the most significant feature for problem (1) according to the optimal feature vector is the frequency of hydrophobic residues.

Currently the number of chemical descriptors is so large that one of the biggest problems is selecting the most adequate features for each problem [58, 59].

It should adopt the best optimized feature selection methodology to select the adequate features for each problem.

Thus, it can never be guaranteed that the selected features truly represent the optimal set of features for the problem at stake.

As mentioned in "Introduction" section, audio features play an essential role in content-based classification and retrieval tasks, so that selecting and extracting the "correct" features for the problem at hand is of utmost importance.

Hence, feature selection methodology was found efficient to deal with high dimensional data by selecting adequate features for each problem to predict a certain property with a good performance, less computational/time cost.

Figure 7 shows that both SVR selection and random selection perform worse than Stable LASSO, demonstrating the power of the bootstrap and randomization scheme to select relevant features for this problem, which maintain or even improve the accuracy of the model.

Furthermore, numerical computations of a more complex problem, a vortex airfoil interaction, show that high-order methods are necessary to capture the significant flow features for transient problems and realistic grid resolutions.

The first one is an exploration into the intrinsic properties of remote iris recognition as well as the carefully designed robust features for specific problems.