AIMC Topic: Random Allocation

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Global synchronization of memristive neural networks subject to random disturbances via distributed pinning control.

Neural networks : the official journal of the International Neural Network Society Sep 1, 2016
This paper presents theoretical results on global exponential synchronization of multiple memristive neural networks in the presence of external noise by means of two types of distributed pinning control. The multiple memristive neural networks are c...
Diffusion Nonlinear Dynamics Random Allocation Neural Networks, Computer Algorithms Computer Simulation
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From free energy to expected energy: Improving energy-based value function approximation in reinforcement learning.

Neural networks : the official journal of the International Neural Network Society Aug 26, 2016
Free-energy based reinforcement learning (FERL) was proposed for learning in high-dimensional state and action spaces. However, the FERL method does only really work well with binary, or close to binary, state input, where the number of active states...
Random Allocation Photic Stimulation Reinforcement, Psychology Machine Learning Learning Models, Theoretical Humans Neural Networks, Computer
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Combining machine learning and matching techniques to improve causal inference in program evaluation.

Journal of evaluation in clinical practice Jun 29, 2016
RATIONALE, AIMS AND OBJECTIVES: Program evaluations often utilize various matching approaches to emulate the randomization process for group assignment in experimental studies. Typically, the matching strategy is implemented, and then covariate balan...
Humans Machine Learning Algorithms Discriminant Analysis Random Allocation Propensity Score Program Evaluation Middle Aged Female Causality Adult Chronic Disease Male
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Identifying Individual-Cancer-Related Genes by Rebalancing the Training Samples.

IEEE transactions on nanobioscience Apr 12, 2016
The identification of individual-cancer-related genes typically is an imbalanced classification issue. The number of known cancer-related genes is far less than the number of all unknown genes, which makes it very hard to detect novel predictions fro...
Random Allocation Genes, Neoplasm Algorithms Neoplasms Logistic Models Humans Machine Learning
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Scalable learning method for feedforward neural networks using minimal-enclosing-ball approximation.

Neural networks : the official journal of the International Neural Network Society Apr 1, 2016
Training feedforward neural networks (FNNs) is one of the most critical issues in FNNs studies. However, most FNNs training methods cannot be directly applied for very large datasets because they have high computational and space complexity. In order...
Neural Networks, Computer Machine Learning Algorithms Random Allocation
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Modality-independent representations of small quantities based on brain activation patterns.

Human brain mapping Jan 9, 2016
Machine learning or MVPA (Multi Voxel Pattern Analysis) studies have shown that the neural representation of quantities of objects can be decoded from fMRI patterns, in cases where the quantities were visually displayed. Here we apply these technique...
Acoustic Stimulation Photic Stimulation Frontal Lobe Parietal Lobe Male Magnetic Resonance Imaging Random Allocation Female Young Adult Adult Humans Machine Learning
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Danhong huayu koufuye prevents deep vein thrombosis through anti-inflammation in rats.

The Journal of surgical research Nov 11, 2015
BACKGROUND: Danhong huayu koufuye (DHK) has traditionally been used clinically for a long time in China. This study was to evaluate the effect of DHK in treating deep vein thrombosis (DVT) in rats and explore its possible mechanism.
Random Allocation Tumor Necrosis Factor-alpha Vena Cava, Inferior Interleukin-6 Thromboplastin Matrix Metalloproteinase 9 Rats, Sprague-Dawley Drug Evaluation, Preclinical Animals Blood Coagulation Blood Cell Count Male Drugs, Chinese Herbal Venous Thrombosis
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SIM-ELM: Connecting the ELM model with similarity-function learning.

Neural networks : the official journal of the International Neural Network Society Nov 4, 2015
This paper moves from the affinities between two well-known learning schemes that apply randomization in the training process, namely, Extreme Learning Machines (ELMs) and the learning framework using similarity functions. These paradigms share a com...
Image Processing, Computer-Assisted Heart Diseases Linear Models Random Allocation Algorithms Databases, Factual Reproducibility of Results Humans Neural Networks, Computer Machine Learning
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The antiviral activity of arctigenin in traditional Chinese medicine on porcine circovirus type 2.

Research in veterinary science Oct 26, 2015
Arctigenin (ACT) is a phenylpropanoid dibenzylbutyrolactone lignan extracted from the traditional herb Arctium lappa L. (Compositae) with anti-viral and anti-inflammatory effects. Here, we investigated the antiviral activity of ACT found in tradition...
Circovirus Lignans Arctium Swine Mice Circoviridae Infections Injections, Intraperitoneal Female Swine Diseases Medicine, Chinese Traditional Furans Animals Antiviral Agents Mice, Inbred BALB C Random Allocation
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Noise-enhanced convolutional neural networks.

Neural networks : the official journal of the International Neural Network Society Oct 19, 2015
Injecting carefully chosen noise can speed convergence in the backpropagation training of a convolutional neural network (CNN). The Noisy CNN algorithm speeds training on average because the backpropagation algorithm is a special case of the generali...
Neural Networks, Computer Algorithms Learning Random Allocation Likelihood Functions Normal Distribution
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