genetic diversity among plants sprouted from seven year old clones of mulberry (morus indica var. s36) was studied using molecular markers such as issr and rapd. the clones showed significant variability in sex expression and the sprouting behavior. these changes were appeared after seven years of rigorous pruning and training (pruned once in every 3-4months). genetic diversity analysis reveale...

Error based pruning can be used to prune a decision tree and it does not require the use of validation data. It is implemented in the widely used C4.5 decision tree software. It uses a parameter, the certainty factor, that affects the size of the pruned tree. Several researchers have compared error based pruning with other approaches, and have shown results that suggest that error based pruning...

In the setting of computer vision, algorithmic searches often aim to identify an object inside large sets of images or videos. Towards reducing the often astronomical complexity of this search, one can use pruning to filter out sufficiently distinct objects, thus resulting in a pruning gain of an overall reduced search space. Motivated by practical scenarios such as time-constrained human ident...

Genetic diversity among plants sprouted from seven year old clones of mulberry (Morus indica var. S36) was studied using molecular markers such as ISSR and RAPD. The clones showed significant variability in sex expression and the sprouting behavior. These changes were appeared after seven years of rigorous pruning and training (pruned once in every 3-4months). Genetic diversity analysis reveale...

the type of training system and application of calcium spray have considerable effects on storability of fruits. in this study, the effects of calcium chloride spray (0, 0.75, 1.5 and 3 g.l-1) in three times during 2, 4 and 6 weeks before harvest time on apple (malus domestica) fruits cvs. ‘gala’ and ‘delbarestival’, which trained in three different training systems (v shape, hightech and cordo...

In this paper, the details about FIU-UM group TRECVID2009 high-level feature extraction task submission are presented. Six runs were conducted using different feature sets, data pruning approaches, classification algorithms, and ranking methods. A proportion of TRECVID2009 development data were randomly sampled from the whole development data archives (all TRECVID2007 development data and test ...

In this study, three major pruning techniques are used to examine the effects of network pruning on classification accuracy. A feed-forward neural network structure which learns the characteristics of the training data via the backpropagation learning algorithm is employed to classify a multisource remotely sensed data set. An important conclusion from this study is that, of the three technique...

How much can pruning algorithms teach us about the fundamentals of learning representations in neural networks? And how much can these fundamentals help while devising new pruning techniques? A lot, it turns out. Neural network pruning has become a topic of great interest in recent years, and many different techniques have been proposed to address this problem. The decision of what to prune and...