AIMC Topic: Markov Chains

Clear Filters Showing 101 to 110 of 269 articles

Learning molecular dynamics with simple language model built upon long short-term memory neural network.

Nature communications Oct 9, 2020
Recurrent neural networks have led to breakthroughs in natural language processing and speech recognition. Here we show that recurrent networks, specifically long short-term memory networks can also capture the temporal evolution of chemical/biophysi...
Models, Statistical Kinetics Artificial Intelligence Language Dipeptides Memory Single Molecule Imaging Molecular Dynamics Simulation Markov Chains Neural Networks, Computer
View on PubMed DOI

Cyclic transitions between higher order motifs underlie sustained asynchronous spiking in sparse recurrent networks.

PLoS computational biology Sep 30, 2020
A basic-yet nontrivial-function which neocortical circuitry must satisfy is the ability to maintain stable spiking activity over time. Stable neocortical activity is asynchronous, critical, and low rate, and these features of spiking dynamics contrib...
Neocortex Neurons Markov Chains Algorithms Computer Simulation Animals Neural Networks, Computer Models, Neurological Action Potentials
View on PubMed DOI

Exponential synchronization of neural networks with time-varying delays and stochastic impulses.

Neural networks : the official journal of the International Neural Network Society Sep 19, 2020
This paper concentrates on the exponential synchronization problem of the delayed neural networks (DNNs) with stochastic impulses. First, the impulsive Halanay differential inequality is further extended to the case that the impulsive strengths are r...
Time Factors Markov Chains Stochastic Processes Neural Networks, Computer
View on PubMed DOI

Reverse-Engineering Neural Networks to Characterize Their Cost Functions.

Neural computation Sep 18, 2020
This letter considers a class of biologically plausible cost functions for neural networks, where the same cost function is minimized by both neural activity and plasticity. We show that such cost functions can be cast as a variational bound on model...
Models, Theoretical Models, Neurological Neural Networks, Computer Animals Markov Chains Humans
View on PubMed DOI

DNSS2: Improved ab initio protein secondary structure prediction using advanced deep learning architectures.

Proteins Sep 16, 2020
Accurate prediction of protein secondary structure (alpha-helix, beta-strand and coil) is a crucial step for protein inter-residue contact prediction and ab initio tertiary structure prediction. In a previous study, we developed a deep belief network...
Software Deep Learning Proteins Neural Networks, Computer Sequence Homology, Amino Acid Protein Conformation, alpha-Helical Markov Chains Protein Conformation, beta-Strand Sequence Alignment Databases, Protein Amino Acid Sequence
View on PubMed DOI

An Acoustic Sensing Gesture Recognition System Design Based on a Hidden Markov Model.

Sensors (Basel, Switzerland) Aug 26, 2020
Many human activities are tactile. Recognizing how a person touches an object or a surface surrounding them is an active area of research and it has generated keen interest within the interactive surface community. In this paper, we compare two machi...
Markov Chains Pattern Recognition, Automated Humans Gestures Neural Networks, Computer Acoustics Machine Learning Algorithms
View on PubMed DOI

Multi-AI competing and winning against humans in iterated Rock-Paper-Scissors game.

Scientific reports Aug 17, 2020
Predicting and modeling human behavior and finding trends within human decision-making processes is a major problem of social science. Rock Paper Scissors (RPS) is the fundamental strategic question in many game theory problems and real-world competi...
Female Male Decision Making Markov Chains Artificial Intelligence Algorithms Humans Memory Game Theory Competitive Behavior
View on PubMed DOI

A combined HMM-PCNN model in the contourlet domain for image data compression.

PloS one Aug 13, 2020
Multiscale geometric analysis (MGA) is not only characterized by multi-resolution, time-frequency localization, multidirectionality and anisotropy, but also outdoes the limitations of wavelet transform in representing high-dimensional singular data s...
Wavelet Analysis Neural Networks, Computer Data Compression Markov Chains
View on PubMed DOI

Synthesis of recurrent neural dynamics for monotone inclusion with application to Bayesian inference.

Neural networks : the official journal of the International Neural Network Society Aug 12, 2020
We propose a top-down approach to construct recurrent neural circuit dynamics for the mathematical problem of monotone inclusion (MoI). MoI in a general optimization framework that encompasses a wide range of contemporary problems, including Bayesian...
Markov Chains Neural Networks, Computer Bayes Theorem
View on PubMed DOI

SVM-Boosting based on Markov resampling: Theory and algorithm.

Neural networks : the official journal of the International Neural Network Society Aug 11, 2020
In this article we introduce the idea of Markov resampling for Boosting methods. We first prove that Boosting algorithm with general convex loss function based on uniformly ergodic Markov chain (u.e.M.c.) examples is consistent and establish its fast...
Support Vector Machine Markov Chains
View on PubMed DOI
Popular Topics
Recent Journals