While Inversion Transduction Grammar (ITG) has regained more and more attention in recent years, it still suffers from the major obstacle of speed. We propose a discriminative ITG pruning framework using Minimum Error Rate Training and various features from previous work on ITG alignment. Experiment results show that it is superior to all existing heuristics in ITG pruning. On top of the prunin...

Pruning hypotheses during dynamic programming is commonly used to speed up inference in settings such as parsing. Unlike prior work, we train a pruning policy under an objective that measures end-to-end performance: we search for a fast and accurate policy. This poses a difficult machine learning problem, which we tackle with the LOLS algorithm. LOLS training must continually compute the effect...

In the field of computer vision, 3D reconstruction crops plays a crucially important role in agriculture. On-ground assessment geometrical features vineyards is vital importance to generate valuable information that enables producers take optimum actions terms agricultural management. A training system vines (Vitis vinifera L.), which involves pruning and trellis system, results particular vine...

When building classiication models, it is common practice to prune them to counter spurious eeects of the training data: this often improves performance and reduces model size. \Reduced-error pruning" is a fast pruning procedure for decision trees that is known to produce small and accurate trees. Apart from the data from which the tree is grown, it uses an independent \pruning" set, and prunin...

Recent work on neural network pruning indicates that, at training time, neural networks need to be significantly larger in size than is necessary to represent the eventual functions that they learn. This paper articulates a new hypothesis to explain this phenomenon. This conjecture, which we term the lottery ticket hypothesis, proposes that successful training depends on lucky random initializa...

– A three-layered neural network that optimally self-adjusts the number of hidden layer units is proposed. The network combines two techniques : 1) Unit fusion which enables an efficient pruning of the redundant units. 2) Linear transformations applied to the chosen hidden layer unit pair output and a modified back-propagation training rule for gradual fusion to reduce pruning shocks. The netwo...

The high quality and quantity seed production in old saxual shrubs are essential for regeneration and sustainable development of saxual forests in desert areas. The objective of this study was to determine the effects of different pruning height on saxual seed production. The study was carried out in an obviously wilted saxual forest located in Ashkezar desert in Yazd in 1994. The experiment wa...