Deep learning

Results: 859



#Item
281Artificial intelligence / Linguistics / Computational linguistics / Applied linguistics / Natural language processing / Computational neuroscience / Artificial intelligence applications / Feature detection / Deep learning / N-gram / Vocabulary / Optical character recognition

Definable functions continuous on curves in o-minimal structures

Add to Reading List

Source URL: cvit.iiit.ac.in

Language: English - Date: 2016-06-21 04:52:25
282Machine learning / Applied mathematics / Artificial intelligence / Computational neuroscience / Artificial neural networks / Computational statistics / Mathematical psychology / Deep learning / Reinforcement learning / Recurrent neural network / Q-learning / Speech recognition

Benchmarking Deep Reinforcement Learning for Continuous Control Yan Duan† ROCKYDUAN @ EECS . BERKELEY. EDU Xi Chen† C . XI @ EECS . BERKELEY. EDU

Add to Reading List

Source URL: jmlr.org

Language: English - Date: 2016-07-20 01:41:07
283

ZEUGNISPROFI Wir suchen Dich als Mitgründer! Du hast Spaß an NLP, Deep Learning und OCR? Wir sind ein junges Startup aus Hamburg mit dem Ziel die Zeugnissprache in Arbeitszeugnissen zu entschlüsseln und für Jedermann

Add to Reading List

Source URL: www.tuhh.de

Language: German - Date: 2016-07-05 04:29:33
    284Business intelligence / Economy / Business / Data analysis / Analytics / Business analytics / Learning analytics

    Deep Content analysis for a healthier life

    Add to Reading List

    Source URL: www.cobedix.ch

    Language: English - Date: 2016-08-07 10:00:00
    285Statistics / Artificial intelligence / Computer vision / Vision / Computational neuroscience / Regression analysis / Robot control / Econometrics / Convolutional neural network / Deep learning / Local regression / Pose

    DeepHand: Robust Hand Pose Estimation by Completing a Matrix Imputed with Deep Features Ayan Sinha∗ Chiho Choi∗ Karthik Ramani

    Add to Reading List

    Source URL: engineering.purdue.edu

    Language: English - Date: 2016-06-21 21:05:29
    286Software engineering / Computing / Computer programming / Functional languages / Computational linguistics / Procedural programming languages / Automatic identification and data capture / Computer accessibility / Speech recognition / Deep learning / ML / Machine learning

    MULTILINGUAL REPRESENTATIONS FOR LOW RESOURCE SPEECH RECOGNITION AND KEYWORD SEARCH Jia Cui1∗ , Brian Kingsbury1 , Bhuvana Ramabhadran1 , Abhinav Sethy1 , Kartik Audhkhasi1 , Xiaodong Cui1 , Ellen Kislal1 , Lidia Mangu

    Add to Reading List

    Source URL: mi.eng.cam.ac.uk

    Language: English - Date: 2016-05-23 04:48:25
    287

    Machine Learning @Quora: Beyond Deep LearningXavier Amatriain (@xamat)

    Add to Reading List

    Source URL: matroid.com

    - Date: 2016-08-06 02:51:41
      288Computing / Information technology management / Deep learning / Numenta / Grok / ServiceNow / Information technology / Linguistics

      Use Case Grok leverages custom automation to troubleshoot anomalous behavior. An EC2 server running an e-commerce application shows an anomalous pattern of activity in the middle of the night. The operations team has set

      Add to Reading List

      Source URL: grokstream.com

      Language: English - Date: 2016-07-15 04:30:09
      289Artificial neural networks / Statistics / Probability / Statistical models / Machine learning / Artificial intelligence / Computational neuroscience / Restricted Boltzmann machine / Boltzmann machine / Feature learning / Deep belief network / Convolutional neural network

      In: European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN), Bruges, Belgium, 2010 Exploiting Local Structure in Stacked Boltzmann Machines Hannes Schulz, Andreas M¨ ul

      Add to Reading List

      Source URL: amueller.github.io

      Language: English - Date: 2016-08-04 15:59:56
      290Markov models / Machine learning / Artificial intelligence / Learning / Computational linguistics / Speech recognition software / Computer accessibility / Speech recognition / Hidden Markov model / Conditional random field / Language model / Image segmentation

      STRUCTURED DISCRIMINATIVE MODELS USING DEEP NEURAL-NETWORK FEATURES R. C. van Dalen, J. Yang, H. Wang, A. Ragni, C. Zhang, M. J. F. Gales Department of Engineering, University of Cambridge, United Kingdom ABSTRACT State-

      Add to Reading List

      Source URL: mi.eng.cam.ac.uk

      Language: English - Date: 2016-07-12 11:46:12
      UPDATE