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- |Title=32nd Annual Conference on Learning Theory |Field=Theoretical Aspects of Machine Learning and Related Topics3 KB (430 words) - 14:33, 9 April 2020
- *Deep Neural Networks for driver identification using accelerometer signals from *Machine learning for engineering processes7 KB (917 words) - 18:07, 17 March 2020
- |Field=Artificial Intelligence,Neural Information Processing Systems,Deep Learning781 bytes (86 words) - 18:24, 12 February 2020
- * deep learning2 KB (238 words) - 18:42, 7 March 2020
- |Title=Montreal Institute for Learning Algorithms |Field=Deep Learning1 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 retrieval2 KB (251 words) - 14:17, 26 August 2020
- * Deep learning for graphics and simulation1 KB (133 words) - 11:23, 13 May 2020
- * Machine learning in distributed camera networks * Deep learning on embedded systems1 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; Cloud5 KB (556 words) - 15:23, 14 January 2021
- Topic 2: Machine Learning and Knowledge Reconstruction and Discovery: * Machine Learning2 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; Biome10 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 op16 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 vulnerabilities11 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 systems998 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-fun6 KB (673 words) - 09:29, 6 May 2020
- ...; systems for communications, video and multimedia, machine-learning, deep-learning, neuromorphism, cryptographics, special function acceleration, processing-i5 KB (629 words) - 09:36, 6 May 2020