Primary bud necrosis in grapevine is a physiological disorder observed in the compound buds. This study was conducted to investigate the anatomical changes in cv. Askari grapevine in winter dormant buds. Bud samples were taken from Askari grapevine at Sisakht vineyards, south-western of Iran. Compound buds were dissected and assessed under a binocular microscope at 10-40x magnification and a di...

1 –Independent Work Report, Spring 2015– Synaptic Pruning Mechanisms in Learning Abstract Synaptic pruning is the process of removing synapses in neural networks and has been considered to be a method of learning. During the developmental stages of the brain, synaptic pruning helps regulate efficiency and energy conservation. However, a destructive algorithm seems to be counter-intuitive to “le...

We describe an experimental study of pruning methods for decision tree classi ers in two learning situations: minimizing loss and probability estimation. In addition to the two most common methods for error minimization, CART's cost-complexity pruning and C4.5's errorbased pruning, we study the extension of cost-complexity pruning to loss and two pruning variants based on Laplace corrections. W...

Maintenance can be the factor of either increasing or decreasing system's availability, so it is valuable work to evaluate a maintenance policy from cost and availability point of view, simultaneously and according to decision maker's priorities. This study proposes a Partially Observable Markov Decision Process (POMDP) framework for a partially observable and stochastically deteriorating syste...

The min-max modular neural network with Gaussian zerocrossing function (M-GZC) has locally tuned response characteristic and emergent incremental learning ability, but it suffers from quadratic complexity in storage space and response time. Redundant Sample pruning and redundant structure pruning can be considered to overcome these weaknesses. This paper aims at the latter; it analyzes the prop...

In this paper, we propose the grouped scheme, which can be specially applied to compute the pruning fast Fourier transform (pruning FFT) with power-of-two partial transformation length. The group-based pruning FFT algorithm applies the scheme of the grouped frequency indices to accelerate computations of selected discrete Fourier transform (DFT) outputs. The proposed pruning FFT algorithm has f...

Due to the pruning and joining of members, multicast groups are dynamic. Both the topology and the total number of links change during multicast sessions, and the multicast performance, measured in terms of the bandwidth consumption, will change accordingly. In this paper, we investigate the dynamic performance of multicast communication with homogeneous packet loss probability; indeed, we eval...

This paper presents a new class of pruning rule for unordered search. Previous pruning rules for unordered search identify operators that should not be applied in order to prune nodes reached via those operators. In contrast, the new pruning rules identify operators that should be applied and prune nodes that are not reached via those operators. Specific pruning rules employing both these appro...

This paper presents a new class of pruning axiom for unordered search. Previous pruning axioms for unordered search identify operators that should not be applied in order to prune states reached via those operators. In contrast, the new pruning axioms identify operators that should be applied and prune states that are not reached via those operators. Specific pruning axioms employing both these...