AIMC Topic: Probability

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Implementation of real-time energy management strategy based on reinforcement learning for hybrid electric vehicles and simulation validation.

PloS one Jul 3, 2017
To further improve the fuel economy of series hybrid electric tracked vehicles, a reinforcement learning (RL)-based real-time energy management strategy is developed in this paper. In order to utilize the statistical characteristics of online driving...
Electricity Motor Vehicles Algorithms Models, Theoretical Machine Learning Conservation of Energy Resources Vehicle Emissions Probability
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Predicting and understanding law-making with word vectors and an ensemble model.

PloS one May 10, 2017
Out of nearly 70,000 bills introduced in the U.S. Congress from 2001 to 2015, only 2,513 were enacted. We developed a machine learning approach to forecasting the probability that any bill will become law. Starting in 2001 with the 107th Congress, we...
United States Models, Theoretical Probability Jurisprudence Data Mining Humans Machine Learning Language
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Cascade convolutional neural networks for automatic detection of thyroid nodules in ultrasound images.

Medical physics Apr 17, 2017
PURPOSE: It is very important for calculation of clinical indices and diagnosis to detect thyroid nodules from ultrasound images. However, this task is a challenge mainly due to heterogeneous thyroid nodules with distinct components are similar to ba...
Thyroid Nodule ROC Curve Probability Neural Networks, Computer Ultrasonography Humans
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A bag-of-paths framework for network data analysis.

Neural networks : the official journal of the International Neural Network Society Apr 3, 2017
This work develops a generic framework, called the bag-of-paths (BoP), for link and network data analysis. The central idea is to assign a probability distribution on the set of all paths in a network. More precisely, a Gibbs-Boltzmann distribution i...
Algorithms Probability Statistics as Topic Neural Networks, Computer
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Synchronised firing patterns in a random network of adaptive exponential integrate-and-fire neuron model.

Neural networks : the official journal of the International Neural Network Society Mar 16, 2017
We have studied neuronal synchronisation in a random network of adaptive exponential integrate-and-fire neurons. We study how spiking or bursting synchronous behaviour appears as a function of the coupling strength and the probability of connections,...
Probability Humans Neural Networks, Computer Action Potentials Neurons Models, Neurological
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A Hybrid Knowledge-Based and Empirical Scoring Function for Protein-Ligand Interaction: SMoG2016.

Journal of chemical information and modeling Feb 27, 2017
We present the third generation of our scoring function for the prediction of protein-ligand binding free energy. This function is now a hybrid between a knowledge-based potential and an empirical function. We constructed a diversified set of ∼1000 c...
Proteins Databases, Protein Models, Molecular Protein Binding Probability Protein Conformation Entropy Knowledge Bases Ligands
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Probability matching in perceptrons: Effects of conditional dependence and linear nonseparability.

PloS one Feb 17, 2017
Probability matching occurs when the behavior of an agent matches the likelihood of occurrence of events in the agent's environment. For instance, when artificial neural networks match probability, the activity in their output unit equals the past pr...
Probability Cues Perception Humans Neural Networks, Computer Reinforcement, Psychology
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Identifying the missing proteins in human proteome by biological language model.

BMC systems biology Dec 23, 2016
BACKGROUND: With the rapid development of high-throughput sequencing technology, the proteomics research becomes a trendy field in the post genomics era. It is necessary to identify all the native-encoding protein sequences for further function and p...
Humans Proteomics Models, Theoretical Databases, Protein Protein Transport Proteome Natural Language Processing Gene Ontology Intracellular Space Probability
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MUMAL2: Improving sensitivity in shotgun proteomics using cost sensitive artificial neural networks and a threshold selector algorithm.

BMC bioinformatics Dec 15, 2016
BACKGROUND: This work presents a machine learning strategy to increase sensitivity in tandem mass spectrometry (MS/MS) data analysis for peptide/protein identification. MS/MS yields thousands of spectra in a single run which are then interpreted by s...
Proteome Probability Neural Networks, Computer Tandem Mass Spectrometry Peptides Algorithms Databases, Protein Proteomics Software
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Lung Cancer Classification Employing Proposed Real Coded Genetic Algorithm Based Radial Basis Function Neural Network Classifier.

Computational and mathematical methods in medicine Nov 30, 2016
A proposed real coded genetic algorithm based radial basis function neural network classifier is employed to perform effective classification of healthy and cancer affected lung images. Real Coded Genetic Algorithm (RCGA) is proposed to overcome the ...
Probability Pattern Recognition, Automated Normal Distribution Genotype Models, Statistical Databases, Factual Lung Tomography, X-Ray Computed Humans Reproducibility of Results Diagnosis, Computer-Assisted Female Male Lung Neoplasms Neural Networks, Computer Algorithms
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