Sentence examples for pruning of nodes from inspiring English sources

In order to determine τ such that the pruning of nodes is conditionally independent of the properties of the nodes themselves (node mean μ and node depth ν), we use bootstrapped, in-control samples from the model for training.

In addition they inherit feature selection by their alignment of decision nodes based on Gain Ratio in combination with pruning of lower nodes.

The architecture of the network is adaptively determined through growing and pruning of hidden nodes under supervised training.

The pruning of a node is based on exploiting the anti-monotonic property of this problem [ 34].

Once partitioning has been completed, then recursive pruning of the terminal nodes commences.

Once partitioning has stopped, then recursive pruning of the terminal nodes commences.

In self-pruning, only a subset of nodes forward the message based on certain forwarding rule.

This differences can be explained by the fact that in case of the random subset heuristic nodes have the knowledge of all other nodes in the network and apply pruning to the full list of nodes anew at the beginning of each round, thus removing from a consideration a node has the effect only for duration of a single round.

Next, we develop two theorems to rapidly compute patterns of nodes and prune nodes without the loss of information in colossal patterns.

In Figure 6 we see that with exhaustive enumeration (pruning level = none) the number of nodes in the network becomes unmanageable as we increase the cardinality of the fingerprint.

Similarly, A also prunes J because the respective core trees of nodes J, K and L are displayed by the respective core trees of nodes B, C and D. Further, among the descendants of A, nodes E and F are respectively pruned by nodes C and D. For the next set of results, let E denote an equivalence class with r as the rightmost leaf of its core tree.