In this paper, we present two efficient look-ahead pruning techniques in beam search for large vocabulary continuous speech recognition. Both techniques, the language model look-ahead and the phoneme look-ahead, are incorporated into the word conditioned search algorithm using a bigram language model and a lexical prefix tree [5]. The paper present the following novel contributions: We describe...

Aroniaberry ( Aronia mitschurinii ) produces small pome fruits that possess health promoting compounds. Management practices for orchards are lacking, since aroniaberry is a relatively new crop. Pruning an important cultural practice to optimize fruit yield in orchards. The response of established orchard pruning was evaluated over three years (2020 2022). treatments were as follows: 1) renewal...

|Neural network pruning methods on the level of individual network parameters (e.g. connection weights) can improve generalization, as is shown in this empirical study. However, an open problem in the pruning methods known today (OBD, OBS, autoprune, epsiprune) is the selection of the number of parameters to be removed in each pruning step (pruning strength). This work presents a pruning method...

We describe an experimental study of pruning methods for decision tree classi ers when the goal is minimizing loss rather than error. In addition to two common methods for error minimization, CART's cost-complexity pruning and C4.5's error-based pruning, we study the extension of cost-complexity pruning to loss and one pruning variant based on the Laplace correction. We perform an empirical com...

In 1960 Bartell proposed that interligand repulsions in some simple organic molecules of the types CX3 and CX4, are much more important in determining molecular geometry than had previously been generally supposed. In recent work we have shown that this concept can be extended to analogous molecules of beryllium and boron where X is F, OH, or O. Assuming as Bartell did that each ligand can be a...

This paper presents techniques designed to minimise the number of states which are explored during subgraph isomorphism detection. A set of advanced topological node features, calculated from nneighbourhood graphs, is presented and shown to outperform existing features. Further, the pruning effectiveness of both the new and existing topological node features is significantly improved through th...

Mining large-scale text corpora is an essential step in extracting the key themes in a corpus. We motivate a quantitative measure for significant associations through the distributions of pairs and triplets of co-occurring words. We consider the algorithmic problem of efficiently enumerating such significant associations and present pruning algorithms for these problems, with theoretical as wel...

We introduce a new form of game search called partition search that incorporates dependency analysis, allowing substantial reductions in the portion of the tree that needs to be expanded. Both theoretical results and experimental data are presented. For the game of bridge, partition search provides approximately as much of an improvement over existing methods as a-0 pruning provides over minimax.

We compare the termand document-centric static index pruning approaches as described in the literature and investigate their sensitivity to the scoring functions employed during the pruning and actual retrieval stages. 1 Static Inverted Index Pruning Static index pruning permanently removes some information from the index, for the purposes of utilizing the disk space and improving query process...