Neural network

Results: 3284



#Item
451Artificial neural networks / Machine learning / Computational neuroscience / Mathematical psychology / Deep learning / Cellular neural network / Boosting / Cluster analysis / Image segmentation / Statistical classification / Convolutional neural network / Book:Machine Learning  The Complete Guide

ICONIP2015 PROGRAM Renaissance Polat Istanbul Hotel 08 NovemberSunday) 13:00-18:00 The Registration Desk Open

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Source URL: www.iconip2015.org

Language: English - Date: 2015-10-16 03:01:34
452Networks / Artificial neural networks / Network effect / Technological change / Artificial neuron / Summation

Noname manuscript No. (will be inserted by the editor) Mathematical analysis of the primary network effect Etienne Emmrich1 , Joachim Kaldasch2 1

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Source URL: www.math.tu-berlin.de

Language: English - Date: 2012-02-06 05:54:27
453Artificial neural networks / Computational neuroscience / Deep learning / Recurrent neural network / Long short-term memory / Speech recognition / Artificial intelligence / Dialog manager / Softmax function / Word2vec / Sepp Hochreiter

MITSUBISHI ELECTRIC RESEARCH LABORATORIES http://www.merl.com Context-Sensitive and Role-Dependent Spoken Language Understanding using Bidirectional and Attention LSTMs Hori, C.; Hori, T.; Watanabe, S.; Hershey, J.R.

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Source URL: www.merl.com

Language: English - Date: 2016-08-01 10:10:56
454Optical illusions / Perception / Cognition / Optical phenomena / Artificial neural network / Grating / Grid illusion / Illusion / Biological neural network

The novelty of the “Accordion Grating Illusion”

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Source URL: decone.psy.unipd.it

Language: English - Date: 2012-11-27 10:53:21
455Computational chemistry / Medicinal chemistry / Computational neuroscience / Drug discovery / Deep learning / Artificial neural network / Random forest / Docking / TensorFlow / Scoring rule

The development of a new docking score, taking account of the fourth dimension Rob Smith, Ben Tehan, Andrea Bortolato, Simon Cross Heptares Therapeutics Ltd., BioPark, Broadwater Road, Welwyn Garden City, Hertfordshire,

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Source URL: cisrg.shef.ac.uk

Language: English - Date: 2016-07-22 08:25:51
456Patterns / Computational neuroscience / Artificial neural networks / Cognitive musicology / Time signatures / Convolutional neural network / Metre / Rhythm / Bayesian network / Septuple meter / Tempo / Beat

BAYESIAN METER TRACKING ON LEARNED SIGNAL REPRESENTATIONS Andre Holzapfel, Thomas Grill Austrian Research Institute for Artificial Intelligence (OFAI) ,

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Source URL: www.rhythmos.org

Language: English - Date: 2016-07-05 07:13:39
457Machine learning / Geostatistics / Computational neuroscience / Deep learning / Artificial neural network / Kriging / Kernel / Supervised learning / Mathematical optimization

kernDeepStackNet: An R package for tuning kernel deep stacking networks Thomas Welchowski 1

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Source URL: www.statistik.tu-dortmund.de

Language: English - Date: 2016-06-30 06:36:48
458Computational neuroscience / Artificial intelligence / Multi-agent systems / Ambient intelligence / European Distance and E-learning Network / Intelligent agent / Agent-based model / Artificial neural network

EUNITE Activities with Associated and Third Countries and with Other Networks Final Report Kauko Leiviskä Scientific Director

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Source URL: www.eunite.org

Language: English - Date: 2014-12-11 06:04:43
459Artificial neural networks / Computational neuroscience / Computational linguistics / Computational statistics / Artificial intelligence / Recurrent neural network / Speech recognition / Language model / Neural machine translation / Long short-term memory / Feedforward neural network / Convolutional neural network

A Study of the Recurrent Neural Network Encoder-Decoder for Large Vocabulary Speech Recognition Liang Lu1 , Xingxing Zhang2 , Kyunghyun Cho3 , and Steve Renals1 1 2

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Source URL: www.cstr.inf.ed.ac.uk

Language: English - Date: 2015-09-29 11:06:25
460Computational neuroscience / Artificial neural networks / Machine learning / Computer vision / Convolutional neural network / Deep learning / Twitter / Convolution / Hashtag / Word2vec / Tweet / Pattern recognition

DeepStance at SemEval-2016 Task 6: Detecting Stance in Tweets Using Character and Word-Level CNNs Prashanth Vijayaraghavan, Ivan Sysoev, Soroush Vosoughi and Deb Roy MIT Media Lab, Massachusetts Institute of Technology C

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Source URL: socialmachines.media.mit.edu

Language: English - Date: 2016-06-17 17:43:41
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