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Search Results for 'Neural Data'
THE NEURAL TRANCE391Eye-Roll Sign and the Hypnotic Induction ProfileCo
alida-meadow
Taking B9 prevents neural tube defects such as Spina Bifida.
lindy-dunigan
THE NEURAL TRANCE391Eye-Roll Sign and the Hypnotic Induction ProfileCo
marina-yarberry
Deformable part models are convolutional neural networks
phoebe-click
International Journal of Computer Applications (0975
min-jolicoeur
CHECKSUM EXERCISE RESEARCH DATA MANAGEMENT TEAM UK DATA ARCHIVE UNIVERSITY OF ESSEX MANAGING
pasty-toler
The neural fate of consciously perceived and missed events in the attentional bank
marina-yarberry
SystemsCircuits Music Enrichment Programs Improve the Neural Encoding of Speech in AtRisk
luanne-stotts
Improved neural fitted Q iteration applied to a novel computer gaming and learning benchmark
myesha-ticknor
Parsing Natural Scenes and Natural Language with Recursive Neural Networks Richard Socher
myesha-ticknor
Neural Network Verification
natalia-silvester
Analyzing the Performance of Multilayer Neural Networks for Object Recognition Pulkit
luanne-stotts
NEURAL CONTROLLER APPLIED TO A POSITION CONTR OL SYSTEM POWERED BY TREE PHASE INDUCTION
danika-pritchard
Core Methods in Educational Data Mining
calandra-battersby
Multicolumn Deep Neural Networks for Image Classication Dan Ciresan Ueli Meier and J urgen
faustina-dinatale
Neural Word Embedding as Implicit Matrix Factorization Omer Levy Department of Computer
celsa-spraggs
Solving the Travelling Salesman Problem with a Hopeld type neural network Jacek Mandziuk
cheryl-pisano
A Fast and Accurate Dependency Parser using Neural Networks Danqi Chen Computer Science
sherrill-nordquist
What is a bionic ear A bionic ear or cochlear implant is a neural prosthesis designed
alida-meadow
2014 NIPS ConferenceWORKSHOP BOOKMONTREAL 2014
lindy-dunigan
Hill Climbing in Recurrent Neural Networks for Learning the Language Stephan Chalup School
giovanna-bartolotta
Deep Recursive Neural Networks for Compositionality in Language Ozan Irsoy Department
tawny-fly
Data, Data and Data
giovanna-bartolotta
Understanding the difculty of training deep feedforward neural networks Xavier Glorot
yoshiko-marsland
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