Sentence examples for maximize a score from inspiring English sources

In this paper, designing a Bayesian network structure to maximize a score function based on learning from data strategy is studied.

In contrast, IEM, and other classic discretization algorithms maximize a score over all attribute values (such as entropy reduction for IEM).

Our software seeks to maximize a score function, which encompasses all aforementioned design constraints.

In contrast to this, Gorodkin et al. [ 40] maximize a score which is a combination of sequence similarity (local) and the number of base pairs.

Prediction of interacting RNA structure can be considered as a kind of optimization problem in a sense that we seek to minimize the free energy of the joint structure or maximize a score such as an interaction probability under the possible topology of the interacting structure.

Moreover, it is difficult to establish the "optimality" of heuristic methods: they may be designed to maximize a score function that makes some intuitive sense but whose propriety for the system studied is difficult to ascertain, since the system is not understood.

Both methods are visualized in Figure 3. MRNET [ 27] is an iterative algorithm that identifies potential interaction partners of a target gene Y that maximize a scoring function.

The alignment procedure maximizes a score resembles the intersection of the volume of the molecules being aligned.

The proposed algorithm uses the RISOTTO [ 24] output as starting points of a greedy procedure that aims at maximizing a scoring criterion based on combined prior information.

Given these graph representations of biological networks, the network alignment problem can be formulated as an optimization problem whose goal is to find the optimal mapping - either one-to-one or many-to-many - among a set of graphs that maximizes a scoring function that assesses the goodness of a given mapping.

Our method finds the best match between the mention and the disease names in MEDIC by defining a vector space, converting both mentions and concept names to vectors within that space, then searching for the name that maximizes a scoring function learned from the training data.