Numerous reports indicate that learning and memory of conditioned responses are accompanied by genesis of dendritic spines in the hippocampus, although there is a conspicuous lack of information regarding spine modifications after behavioral extinction. There is ample evidence that treatments that typically produce amnesia become innocuous when animals are submitted to a procedure of enhanced t...

We study the current best model (Krishnamurthy et al., 2017) (KDG) for question answering on tabular data evaluated over the WIKITABLEQUESTIONS dataset. Previous ablation studies performed against this model attributed the model’s performance to certain aspects of its architecture. In this paper, we find that the model’s performance also crucially depends on a certain pruning of the data used t...

We present a version of Inversion Transduction Grammar where rule probabilities are lexicalized throughout the synchronous parse tree, along with pruning techniques for efficient training. Alignment results improve over unlexicalized ITG on short sentences for which full EM is feasible, but pruning seems to have a negative impact on longer sentences.

Deep Neural Networks (DNNs) are the key to the state-of-the-art machine vision, sensor fusion and audio/video signal processing. Unfortunately, their computation complexity and tight resource constraints on the Edge make them hard to leverage on mobile, embedded and IoT devices. Due to great diversity of Edge devices, DNN designers have to take into account the hardware platform and application...

In this paper, three approaches are presented for generating and validating sequences of different size neural nets. First, a growing method is given along with several weight initialization methods, and their properties. Then a one pass pruning method is presented which utilizes orthogonal least squares. Based upon this pruning approach, a onepass validation method is discussed. Finally, a tra...

The problem of determining the proper size of an artificial neural network is recognized to be crucial, especially for its practical implications in such important issues as learning and generalization. One popular approach for tackling this problem is commonly known as pruning and it consists of training a larger than necessary network and then removing unnecessary weights/nodes. In this paper...

one of the most important operations in managed gardens is pruned grapes. for evaluate the effect of pruning short, medium, heavy on yield and yield components of taif grapes, before and after the cold winter, in the years 2012 to 2013, a factorial experiment in a crbd design with five replicates were performed on two factors. the first factor was the number of buds per stem and included the th...