Keywords: Ensemble pruning Backtracking algorithm Ensemble Pruning via BackTracking algorithm (EnPBT) One-Path and Two-Trips searching algorithm (OPTT) Pruning efficiency a b s t r a c t Ensemble pruning is substantial for the successful application of an ensemble system. A novel method for Ensemble Pruning via BackTracking algorithm (EnPBT) was proposed by us in our previous work. Back-trackin...

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...

A main advantage of the deep neural network (DNN) model lies on the fact that no artificial assumptions are placed on the data distribution and model structure, which offers the possibility to learn very flexible models. This flexibility, however, may lead to highly redundant parameters, hence demanding computation and risk of over-fitting. Network pruning cuts off unimportant connections, and ...

In parallel A * graph search on distributed-memory machines, different processors may perform significant duplicated work if inter-processor duplicates are not pruned. The only known method for duplicate pruning associates a particular processor with each distinct node of the search space using a suitable hash function. Then duplicate nodes arising in different processors are transmitted to the...

BACKGROUND Axon pruning is involved in establishment and maintenance of functional neural circuits. During metamorphosis of Drosophila, selective pruning of larval axons is developmentally regulated by ecdysone and caused by local axon degeneration. Previous studies have revealed intrinsic molecular and cellular mechanisms that trigger this pruning process, but how pruning is accomplished remai...

Pruning is one of the most expensive tasks in citrus production, and its mechanization could increase productivity competitiveness farms. The effect mechanical pruning on yield depends variety, crop condition, location; among other factors. ‘Clemenules’ mandarin variety important ones; therefore, aim this work was to study effects twelve strategies over four years, conduct an economic analysis....

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 we review the conventional versions of nullmove pruning, and present our enhancements which allow for a deeper search with greater accuracy. While the conventional versions of nullmove pruning use reduction values of R ≤ 3, we use an aggressive reduction value of R = 4 within a verified adaptive configuration which maximizes the benefit from the more aggressive pruning, while limi...

Axon pruning during development is essential for proper wiring of the mature nervous system, but its regulation remains poorly understood. We have identified an immunoglobulin superfamily (IgSF) transmembrane protein, Plum, that is cell autonomously required for axon pruning of mushroom body (MB) γ neurons and for ectopic synapse refinement at the developing neuromuscular junction in Drosophila...

Monte-Carlo GO is a computer GO program that is sufficiently competent without the knowledge expressions of IGO. Although it is computationally intensive, the computational complexity can be reduced by properly pruning the IGO game tree. In this study, we achieved this by using a potential model based on the knowledge expressions of IGO. The potential model treats GO stones as potentials. A spe...