Indian Journal of Geo-Marine SciencesINDIAN J MAR SCI VOL. 43(1), JANUARYVol. 43(1), January 2014, ppReal Time wave forecasting using artificial neural network with varying input parameter

Source URL: nopr.niscair.res.in

Wavelike Design of Social Agents Simulated as System of Interacting Net of Neural Networks Darius Plikynas Informatics department, Vilnius Management Academy,

Source URL: necsi.edu

• Simulation
• Models of computation
• Systems theory
• Scientific modeling
• Complex systems theory
• Agent-based model
• Multi-agent system
• Social simulation
• Artificial neural network
• Computational model
• Agent
• Self-organization

Recognition of Ongoing Complex Activities by Sequence Prediction over a Hierarchical Label Space Wenbin Li Mario Fritz Max Planck Institute for Informatics wenbinli,

Source URL: scalable.mpi-inf.mpg.de

• Computational neuroscience
• Artificial neural networks
• Computational statistics
• Computer vision
• Deep learning
• Recurrent neural network
• Convolutional neural network
• Conference on Computer Vision and Pattern Recognition
• Activity recognition

Learning hierarchical invariant spatio-temporal features for action recognition with independent subspace analysis Quoc V. Le, Will Y. Zou, Serena Y. Yeung, Andrew Y. Ng Computer Science Department and Department of Elec

Source URL: cs.stanford.edu

• Artificial neural networks
• Computational neuroscience
• Artificial intelligence
• Machine learning
• Applied mathematics
• Cybernetics
• Computer vision
• Convolutional neural network
• Deep learning
• Feature detection
• Feature learning
• Supervised learning

The Meaning of Events Ashish Mahabal, S.G. Djorgovski, Ciro Donalek California Institute of Technology The classification of complex celestial events Exploration of the time domain is rapidly becoming one of the most exc

Source URL: www.cacr.caltech.edu

• Statistics
• Machine learning
• Statistical classification
• Pattern recognition
• Bayesian inference
• Catalina Real-time Transient Survey
• Artificial neural network
• Bayesian network
• Prior probability
• Supervised learning
• Regression analysis
• Time series

Empirical Evidence for Markov Chain Monte Carlo in Memory Search David D. Bourgin () Joshua T. Abbott () Thomas L. Griffiths (tom ) Department of Psyc

Source URL: cocosci.berkeley.edu

• Semantics
• Monte Carlo methods
• Markov models
• Computational statistics
• Mental processes
• Semantic memory
• MetropolisHastings algorithm
• Markov chain Monte Carlo
• Recall
• Markov chain
• Artificial neural network
• Latent semantic analysis

arXiv:1604.02388v1 [cs.CV] 8 AprRGBD Semantic Segmentation Using Spatio-Temporal Data-Driven Pooling

Source URL: arxiv.org

• Image processing
• Image segmentation
• Deep learning
• Artificial intelligence
• Computer vision
• Framing
• Cognitive science
• Cybernetics
• Convolutional neural network

May 5, 2016 Vol.1, No.1 APNNS NEWS Autumn in Kyoto City -- Shinnyodo (Shinsho-Gokurakuji temple)

Source URL: www.apnns.org

• Economy
• Business
• Law
• Parliamentary procedure
• AlphaGo
• Artificial intelligence
• Computer Go
• Go software
• Machine learning
• Board of directors
• Artificial neural network
• By-law

Lasagne Tutorial This tutorial assumes basic knowledge of Theano. Here is a Theano tutorial if you need to get up to speed. Theano is increadibly useful for compiling and automatically differentiating symbolic expressio

Source URL: colinraffel.com

• Artificial neural networks
• Computational neuroscience
• Convolutional neural network
• Long short-term memory
• Multilayer perceptron
• Artificial intelligence
• MNIST database
• CUDA
• Deep learning

National Institute for Space Research -INPEEarth System Science Center -CSTNewsletter Climate Change Research Group -GPMCNumber 9 - OctoberE d i t o r i a l The United Nations Conference on Climate Change (COP-15)

Source URL: mudancasclimaticas.cptec.inpe.br

• Forestry
• Climatology
• Natural environment
• Carbon finance
• Climate change policy
• Forest certification
• Downscaling
• Food and Agriculture Organization
• Reducing emissions from deforestation and forest degradation
• United Nations REDD Programme
• Artificial neural network
• Deforestation