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

A Recursive Recurrent Neural Network for Statistical Machine Translation Shujie Liu1 , Nan Yang2 , Mu Li1 and Ming Zhou1 1 Microsoft Research Asia, Beijing, China 2

Source URL: www.aclweb.org

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

AGD Landscape & Environment44. UNSUPERVISED CLASSIFICATION OF HIGH RESOLUTION SATELLITE IMAGERY BY SELF-ORGANIZING NEURAL NETWORK ÁRPÁD BARSI1 – KATALIN GÁSPÁR1 – ZSUZSANNA SZEPESSY2 1

Source URL: landscape.geo.klte.hu

BPR: Bayesian Personalized Ranking from Implicit Feedback Steffen Rendle, Christoph Freudenthaler, Zeno Gantner and Lars Schmidt-Thieme {srendle, freudenthaler, gantner, schmidt-thieme}@ismll.de Machine Learning Lab, Un

Source URL: www.algo.uni-konstanz.de

• Algebra
• Mathematics
• Information science
• Linear algebra
• Matrix theory
• Recommender systems
• Statistical theory
• Collaborative filtering
• Machine learning
• Loss function
• Singular value decomposition
• Artificial neural network