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1. Output-driven phonology
: theory and learning
by Tesar, Bruce
2014, Cambridge studies in linguistics, ISBN 1107001935, Volume 139., xix, 415
Phonology | Learning ability | Grammar, Comparative and general | Optimality theory (Linguistics)
Book
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2. Full Text Tree ensembles for predicting structured outputs
by Kocev, Dragi and Vens, Celine and Struyf, Jan and Džeroski, Sašo
Pattern recognition, ISSN 0031-3203, 03/2013, Volume 46, Issue 3, pp. 817 - 833
Structured outputs | Multi-target classification | Hierarchical multi-label classification | Ensemble methods | Multi-target regression | Predictive clustering trees | Engineering, Electrical & Electronic | Engineering | Computer Science, Artificial Intelligence | Technology | Computer Science | Science & Technology | Signal and communications theory | Telecommunications and information theory | Exact sciences and technology | Signal, noise | Signal processing | Applied sciences | Information, signal and communications theory | Signal representation. Spectral analysis | Pattern recognition | Detection, estimation, filtering, equalization, prediction | Military bases | Analysis | Learning | Trees | Construction | Tasks | Classification | Collection | Mathematical models | Clustering
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3. Syntactic development, its input and output
by Ninio, Anat
2011, ISBN 9780199565962, Volume 9780199565962, x, 244
Grammar, Comparative and general | Learning, Psychology of | Syntax | Language acquisition | Cognitive Psychology | Developmental Psychology | Linguistic theory | Quantitative linguistics | Syntactic learning process | Linguistic input | Child utterances | Complexity theory | Resultant output | Formalistic linguistic theory | Parental speech
Book
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4. Data mining
: practical machine learning tools and techniques
by Witten, I. H. (Ian H.) and Frank, Eibe and Pal, Christopher J and Hall, Mark A. (Mark Andrew)
2016, 4th revised edition., ISBN 9780128042915, xxxii, 621 pages
Data mining
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5. Full Text Output Fisher embedding regression
by Djerrab, Moussab and Garcia, Alexandre and Sangnier, Maxime and d’Alché-Buc, Florence
Machine learning, ISSN 0885-6125, 9/2018, Volume 107, Issue 8, pp. 1229 - 1256
Small data regime | Weak supervision | Output kernel regression | Control, Robotics, Mechatronics | Computer Science | Fisher vector | Artificial Intelligence (incl. Robotics) | Computing Methodologies | Simulation and Modeling | Language Translation and Linguistics | Structured output prediction | Computer Science, Artificial Intelligence | Technology | Science & Technology | Learning | Regression | Embedding | Mathematical models | Statistical analysis | State space models
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6. Full Text Output feedback reinforcement learning based optimal output synchronisation of heterogeneous discrete-time multi-agent systems
by Rizvi, Syed Ali Asad and Lin, Zongli
IET control theory & applications, ISSN 1751-8644, 11/2019, Volume 13, Issue 17, pp. 2866 - 2876
Special Issue: Distributed Optimisation and Learning for Networked Systems | optimal output synchronisation | local performance functions | learning scheme | state augmentation approaches | distributed leader state observer | gradient adaptive law | local feedback parameters | resulting distributed control laws | feedback | discrete‐time multiagent systems | leader agent | optimal output feedback | feedforward | local control law | distributed two degree of freedom approach | local internal state | model‐free distributed output feedback control scheme | learning (artificial intelligence) | learning algorithm | distributed control | discrete time systems | output regulator equations | directed network | adaptive control | control system synthesis | optimal control | optimal solution | output feedback reinforcement learning | synchronisation | closed loop systems | local feedforward control parameters | Riccati equations | multi‐agent systems | control system analysis computing | feedforward terms | heterogeneous follower agents | observers | freedom approach | Engineering, Electrical & Electronic | Engineering | Automation & Control Systems | Technology | Instruments & Instrumentation | Science & Technology
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7. Full Text Struck: Structured Output Tracking with Kernels
by Hare, Sam and Golodetz, Stuart and Saffari, Amir and Vineet, Vibhav and Ming-Ming Cheng and Hicks, Stephen L and Torr, Philip H. S
IEEE transactions on pattern analysis and machine intelligence, ISSN 0162-8828, 10/2016, Volume 38, Issue 10, pp. 2096 - 2109
Support vector machines | Training | Tracking-by-detection | Adaptation models | Target tracking | Graphics processing units | structured output SVMs | budget maintenance | Kernel | GPU-based tracking | Engineering, Electrical & Electronic | Engineering | Computer Science, Artificial Intelligence | Technology | Computer Science | Science & Technology | Usage | Graphics coprocessors | Research | Machine learning
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8. Full Text Shadowing as a Practice in Second Language Acquisition
: Connecting Inputs and Outputs
by Kadota, Shuhei
2019, 1, Routledge research in language education, ISBN 9781138485501, Volume 1, 214
Language and Education | Applied Linguistics | Second Language Acquisition | Second language acquisition | Second language acquisition-Methodology
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9. Full Text Reorganization of corticospinal output during motor learning
by Peters, Andrew J and Lee, Jun and Hedrick, Nathan G and O'neil, Keelin and Komiyama, Takaki
Nature neuroscience, ISSN 1097-6256, 08/2017, Volume 20, Issue 8, pp. 1133 - 1141
Neurosciences | Neurosciences & Neurology | Life Sciences & Biomedicine | Science & Technology | Learning - physiology | Motor Cortex - physiology | Animals | Movement - physiology | Mice, Inbred C57BL | Neurons - physiology | Behavior, Animal - physiology | Electromyography - methods | Pyramidal Tracts - physiology | Research | Neurons | Motor learning | Health aspects | Motor cortex | Learning | Neuroimaging | Calcium | Motor skill learning | Plasticity | Calcium imaging | Cortex (motor) | Pyramidal tracts | Index Medicus
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10. Full Text Experience replay–based output feedback Q‐learning scheme for optimal output tracking control of discrete‐time linear systems
by Rizvi, Syed Ali Asad and Lin, Zongli
International journal of adaptive control and signal processing, ISSN 0890-6327, 12/2019, Volume 33, Issue 12, pp. 1825 - 1842
discounting factor | optimal tracking | output feedback | Q‐learning | Engineering, Electrical & Electronic | Engineering | Automation & Control Systems | Technology | Science & Technology | Linear systems | System dynamics | Parameters | Computer simulation | Adaptive algorithms | Feedback control | Adaptive control | Convergence | Learning | Production planning | Feedforward control | Tracking errors | Control theory | Tracking control | Riccati equation | Output feedback | System effectiveness
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11. Full Text Observer‐based adaptive optimal output containment control problem of linear heterogeneous Multiagent systems with relative output measurements
by Mazouchi, Majid and Naghibi‐Sistani, Mohammad Bagher and Hosseini Sani, Seyed Kamal and Tatari, Farzaneh and Modares, Hamidreza
International journal of adaptive control and signal processing, ISSN 0890-6327, 02/2019, Volume 33, Issue 2, pp. 262 - 284
cooperative output regulation | optimal control | output containment control | adaptive distributed observer | reinforcement learning | Engineering, Electrical & Electronic | Engineering | Automation & Control Systems | Technology | Science & Technology | Computational geometry | Multiagent systems | Computer simulation | Feedback | Optimal control | Machine learning | Convexity | Hulls | Adaptive control | Transient performance | Containment
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