AIMC Topic: Probability

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Visual Tracking Based on an Improved Online Multiple Instance Learning Algorithm.

Computational intelligence and neuroscience Dec 30, 2015
An improved online multiple instance learning (IMIL) for a visual tracking algorithm is proposed. In the IMIL algorithm, the importance of each instance contributing to a bag probability is with respect to their probabilities. A selection strategy ba...
Humans Eye Movements Attention Probability Artificial Intelligence Algorithms Learning Photic Stimulation Online Systems
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Particle Swarm Optimization with Double Learning Patterns.

Computational intelligence and neuroscience Dec 27, 2015
Particle Swarm Optimization (PSO) is an effective tool in solving optimization problems. However, PSO usually suffers from the premature convergence due to the quick losing of the swarm diversity. In this paper, we first analyze the motion behavior o...
Problem Solving Biological Evolution Benchmarking Probability Pattern Recognition, Automated Humans Artificial Intelligence Computer Simulation Learning
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Generalization Bounds Derived IPM-Based Regularization for Domain Adaptation.

Computational intelligence and neuroscience Dec 27, 2015
Domain adaptation has received much attention as a major form of transfer learning. One issue that should be considered in domain adaptation is the gap between source domain and target domain. In order to improve the generalization ability of domain ...
Probability Generalization, Psychological Transfer, Psychology Models, Theoretical Regression Analysis Supervised Machine Learning Humans Artificial Intelligence
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An Enhanced Artificial Bee Colony Algorithm with Solution Acceptance Rule and Probabilistic Multisearch.

Computational intelligence and neuroscience Dec 24, 2015
The artificial bee colony (ABC) algorithm is a popular swarm based technique, which is inspired from the intelligent foraging behavior of honeybee swarms. This paper proposes a new variant of ABC algorithm, namely, enhanced ABC with solution acceptan...
Probability Bees Algorithms Social Behavior Artificial Intelligence Crowding Computer Simulation Animals
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Cross-validation of matching correlation analysis by resampling matching weights.

Neural networks : the official journal of the International Neural Network Society Dec 22, 2015
The strength of association between a pair of data vectors is represented by a nonnegative real number, called matching weight. For dimensionality reduction, we consider a linear transformation of data vectors, and define a matching error as the weig...
Support Vector Machine Probability Association Learning Humans Neural Networks, Computer Models, Theoretical
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Multiclass Posterior Probability Twin SVM for Motor Imagery EEG Classification.

Computational intelligence and neuroscience Dec 22, 2015
Motor imagery electroencephalography is widely used in the brain-computer interface systems. Due to inherent characteristics of electroencephalography signals, accurate and real-time multiclass classification is always challenging. In order to solve ...
Models, Statistical Humans Databases, Factual Electroencephalography Algorithms Support Vector Machine Probability Models, Neurological Brain-Computer Interfaces Movement Imagination
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DisPredict: A Predictor of Disordered Protein Using Optimized RBF Kernel.

PloS one Oct 30, 2015
Intrinsically disordered proteins or, regions perform important biological functions through their dynamic conformations during binding. Thus accurate identification of these disordered regions have significant implications in proper annotation of fu...
Area Under Curve Amino Acid Sequence Probability Algorithms ROC Curve Protein Structure, Secondary Support Vector Machine Datasets as Topic Intrinsically Disordered Proteins Crystallography, X-Ray
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Fully automatized renal parenchyma volumetry using a support vector machine based recognition system for subject-specific probability map generation in native MR volume data.

Physics in medicine and biology Oct 28, 2015
In epidemiological studies as well as in clinical practice the amount of produced medical image data strongly increased in the last decade. In this context organ segmentation in MR volume data gained increasing attention for medical applications. Esp...
Image Interpretation, Computer-Assisted Pattern Recognition, Automated Magnetic Resonance Imaging Models, Biological Probability Kidney Support Vector Machine Humans Algorithms Computer Simulation Sensitivity and Specificity Imaging, Three-Dimensional
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iTIS-PseKNC: Identification of Translation Initiation Site in human genes using pseudo k-tuple nucleotides composition.

Computers in biology and medicine Sep 25, 2015
Translation is an essential genetic process for understanding the mechanism of gene expression. Due to the large number of protein sequences generated in the post-genomic era, conventional methods are unable to identify Translation Initiation Site (T...
Humans Neural Networks, Computer Machine Learning Software Algorithms Reproducibility of Results Peptide Chain Initiation, Translational Nucleotides Genomics Probability Support Vector Machine Pattern Recognition, Automated Sequence Analysis, DNA
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High-Density Liquid-State Machine Circuitry for Time-Series Forecasting.

International journal of neural systems Sep 14, 2015
Spiking neural networks (SNN) are the last neural network generation that try to mimic the real behavior of biological neurons. Although most research in this area is done through software applications, it is in hardware implementations in which the ...
Time Factors Probability Nonlinear Dynamics Computers Computer Simulation Neural Networks, Computer Machine Learning
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