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  • |Title=32nd Annual Conference on Learning Theory |Field=Theoretical Aspects of Machine Learning and Related Topics
    3 KB (430 words) - 14:33, 9 April 2020
  • *Deep Neural Networks for driver identification using accelerometer signals from *Machine learning for engineering processes
    7 KB (917 words) - 18:07, 17 March 2020
  • |Field=Artificial Intelligence,Neural Information Processing Systems,Deep Learning
    781 bytes (86 words) - 18:24, 12 February 2020
  • * deep learning
    2 KB (238 words) - 18:42, 7 March 2020
  • |Title=Montreal Institute for Learning Algorithms |Field=Deep Learning
    1 KB (192 words) - 11:10, 6 September 2019
  • |Title=31st International Conference on Algorithmic Learning Theory * Design and analysis of learning algorithms.
    1 KB (156 words) - 15:01, 4 March 2021
  • * Deep learning for multimedia retrieval * Learning and relevance feedback in multimedia retrieval
    2 KB (251 words) - 14:17, 26 August 2020
  • * Deep learning for graphics and simulation
    1 KB (133 words) - 11:23, 13 May 2020
  • * Machine learning in distributed camera networks * Deep learning on embedded systems
    1 KB (163 words) - 11:38, 13 May 2020
  • |Title=30th International Conference on Algorithmic Learning Theory * Design and analysis of learning algorithms.
    1 KB (170 words) - 09:05, 17 April 2020
  • ...radars; Signal processing for crowd dynamics; Small-scale prosumers; Deep learning in compressed sensing; Biometric authentifiers; Quantum cellular automata; Machine learning on FPGAs; Deep learning on FPGAs; Object detection; Neural networks; Reconfigurable kernels; Cloud
    5 KB (556 words) - 15:23, 14 January 2021
  • Topic 2: Machine Learning and Knowledge Reconstruction and Discovery: * Machine Learning
    2 KB (254 words) - 08:59, 14 April 2020
  • |Title=12th International Conference on Learning and Intelligent Optimization The 12th International Conference on Learning and Intelligent Optimization (LION)
    3 KB (398 words) - 09:01, 22 July 2020
  • ...ion, processing, and analysis; Compressive sensing (sparse sampling); Deep learning (graphical inference algorithms); High speed video acquisition, architectur ..., feature detections, bio-inspired techniques; Pattern recognition; Social learning models, Bayesian signal processing; Cognitive information processing; Biome
    10 KB (1,215 words) - 14:46, 19 April 2020
  • ...antum-inspired optimization; Automated (industrial) assembly environments; Deep neural networks; Multimodal knowledge of the brain; Self-organization in M2 ...Intelligent robots; Self-reconfigurable mobile robots; Humanoid imitative learning; Robots in unknown environments; Human centric robots; Adjustable robust op
    16 KB (1,897 words) - 12:31, 18 May 2020
  • ...for the semantic Web; Online Web experiments; Web template extracting; Web deep browsing; Discovering Web content vulnerabilites; Ad hoc exploratory search ...; Sparse user-generated data; Human-centered entity linking; Transfer deep learning; Mobile Web cache; RDF data; Web private-preservation; Web vulnerabilities
    11 KB (1,390 words) - 12:35, 18 May 2020
  • ...ning approaches to recommendation algorithms (deep learning, reinforcement learning, etc.)
    1 KB (141 words) - 07:08, 18 May 2020
  • * Data-driven reasoning and learning * Deep learning for agent systems
    998 bytes (127 words) - 11:28, 26 August 2020
  • original approaches (such as Artificial Intelligence (AI) and Machine Learning (ML)), to new applications (such as wearable ...l systems for communications, video and multimedia, machine-learning, deep-learning, neuromorphism, cryptographics, security and trusted computing, special-fun
    6 KB (673 words) - 09:29, 6 May 2020
  • ...; systems for communications, video and multimedia, machine-learning, deep-learning, neuromorphism, cryptographics, special function acceleration, processing-i
    5 KB (629 words) - 09:36, 6 May 2020

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