A large-scale pruning study was established in the winter of 1999 to2000 at seven different sites on Green Diamond Resource Company forestlands in Humboldt County. The objective of this study was to determine the effects of pruning on increment, epicormic sprouting, stem taper, heartwood formation, and bear damage on these young trees. Pruning treatments varied pruning severity and were usually...

Most speech recognition systems search through large finite state machines to find the most likely path, or hypothesis. Efficient search in these large spaces requires pruning of some hypotheses. Popular pruning techniques include probability pruning which keeps only hypotheses whose probability falls within a prescribed factor from the most likely one, and rank pruning which keeps only a presc...

Various factors a ecting decision tree learning time are explored. The factors which consistently a ect accuracy are those which directly or indirectly (as in the handling of continuous attributes) allow a greater variety of potential trees to be explored. Other factors, e.g., pruning and choice of heuristics, generally have little e ect on accuracy, but signi cantly a ect learning time. We pro...

Many researchers have shown that ensemble methods such as Boosting and Bagging improve the accuracy of classification. Boosting and Bagging perform well with unstable learning algorithms such as neural networks or decision trees. Pruning decision tree classifiers is intended to make trees simpler and more comprehensible and avoid over-fitting. However it is known that pruning individual classif...

The default multilayer neural network topology is a fully interlayer connected one. This simplistic choice facilitates the design but it limits the performance of the resulting neural networks. The best-known methods for obtaining partially connected neural networks are the so called pruning methods which are used for optimizing both the size and the generalization capabilities of neural networ...

In the paper, possibility of combining deep neural network (DNN) model compression methods to achieve better results was considered. To compare advantages and disadvantages each method, all were applied ResNet18 for pretraining NCT-CRC-HE-100K dataset while using CRC-VAL-HE-7K as validation dataset. proposed quantization, pruning, weight clustering, QAT (quantization-aware training), preserve c...

the effects of initial spacing layout on some allometric characteristics of 12-year-old quercus castaneifolia trees grown in central mazandaran, north of iran were examined. trees were planted in 5 different layouts (1?1, 1.5?1.5, 2?2.5, 2?3 and 4?4 m). tree height, diameter at breast height, natural pruning height and the survival of trees were recorded in each sample plot. tree basal area and...

All effective anti psychotic drugs block glucose transporter proteins (GLUTs), peripherally and in the brain. These drugs are implicated in hyperglycaemia as demonstrated in mouse and human studies. Clozapine is the strongest blocker, with Haloperidol the weakest. The GLUT hypothesis suggests that schizophrenia is partly due to poor functioning of brain glucose transporters (GLUT 1 and 3). Neur...

abstract the quantative and qualitative yield comparison of three cucumber f1 cultivars including' sina, amyral, and negin was evaluated using 3×3×3 factorial experimental design with six replication. three types of pruning treatments were applied; cutting down all branches on main stem (b1), leaving one node and the leaf next to it on all branches (b2), leaving two node and the leaf next to th...