AIMC Topic: Computer Simulation

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The Best Model of a Cat Is Several Cats.

Trends in biotechnology Jan 8, 2016
Modern biotechnology is emerging at the intersection of engineering, biology, physics, and computer science. As such it carries with it history from several disparate fields of research including a strong tradition in deductive reasoning primarily de...
Research Computer Simulation Artificial Intelligence Biotechnology Knowledge Bioengineering Reproducibility of Results Models, Biological
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A Modified Sparse Representation Method for Facial Expression Recognition.

Computational intelligence and neuroscience Jan 4, 2016
In this paper, we carry on research on a facial expression recognition method, which is based on modified sparse representation recognition (MSRR) method. On the first stage, we use Haar-like+LPP to extract feature and reduce dimension. On the second...
Pattern Recognition, Visual Databases, Factual Computer Simulation Pattern Recognition, Automated Facial Expression Artificial Intelligence Algorithms Humans
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Pinning cluster synchronization in an array of coupled neural networks under event-based mechanism.

Neural networks : the official journal of the International Neural Network Society Dec 30, 2015
Cluster synchronization is a typical collective behavior in coupled dynamical systems, where the synchronization occurs within one group, while there is no synchronization among different groups. In this paper, under event-based mechanism, pinning cl...
Computer Simulation Neural Networks, Computer Algorithms
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Predicting Long Noncoding RNA and Protein Interactions Using Heterogeneous Network Model.

BioMed research international Dec 29, 2015
Recent study shows that long noncoding RNAs (lncRNAs) are participating in diverse biological processes and complex diseases. However, at present the functions of lncRNAs are still rarely known. In this study, we propose a network-based computational...
RNA, Long Noncoding Neural Networks, Computer RNA-Binding Proteins Computer Simulation Databases, Genetic
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Machine Learning Biogeographic Processes from Biotic Patterns: A New Trait-Dependent Dispersal and Diversification Model with Model Choice By Simulation-Trained Discriminant Analysis.

Systematic biology Dec 28, 2015
Current statistical biogeographical analysis methods are limited in the ways ecology can be related to the processes of diversification and geographical range evolution, requiring conflation of geography and ecology, and/or assuming ecologies that ar...
Machine Learning Discriminant Analysis Models, Biological Computer Simulation Phylogeny Phylogeography
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A Multiobjective Approach to Homography Estimation.

Computational intelligence and neuroscience Dec 28, 2015
In several machine vision problems, a relevant issue is the estimation of homographies between two different perspectives that hold an extensive set of abnormal data. A method to find such estimation is the random sampling consensus (RANSAC); in this...
Computer Simulation Models, Theoretical Pattern Recognition, Automated Humans Algorithms Artificial Intelligence Decision Support Techniques
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The Edge-Disjoint Path Problem on Random Graphs by Message-Passing.

PloS one Dec 28, 2015
We present a message-passing algorithm to solve a series of edge-disjoint path problems on graphs based on the zero-temperature cavity equations. Edge-disjoint paths problems are important in the general context of routing, that can be defined by inc...
Computer Communication Networks Automobiles Artificial Intelligence Algorithms Travel Computer Graphics Computer Simulation
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Controlling Individuals Growth in Semantic Genetic Programming through Elitist Replacement.

Computational intelligence and neuroscience Dec 27, 2015
In 2012, Moraglio and coauthors introduced new genetic operators for Genetic Programming, called geometric semantic genetic operators. They have the very interesting advantage of inducing a unimodal error surface for any supervised learning problem. ...
Computer Simulation Machine Learning Algorithms
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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...
Probability Pattern Recognition, Automated Problem Solving Biological Evolution Learning Benchmarking Artificial Intelligence Computer Simulation Humans
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A Neural Network Approach to Intention Modeling for User-Adapted Conversational Agents.

Computational intelligence and neuroscience Dec 27, 2015
Spoken dialogue systems have been proposed to enable a more natural and intuitive interaction with the environment and human-computer interfaces. In this contribution, we present a framework based on neural networks that allows modeling of the user's...
Travel Intention Electronic Data Processing Computer Simulation Communication User-Computer Interface Models, Theoretical Neural Networks, Computer Algorithms Humans
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