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Hits 1 – 19 of 19

1
Cross-Situational Learning Towards Robot Grounding
In: https://hal.archives-ouvertes.fr/hal-03628290 ; 2022 (2022)
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2
Cross-Situational Learning Towards Robot Grounding
In: https://hal.archives-ouvertes.fr/hal-03628290 ; 2022 (2022)
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3
Why, What and How to help each Citizen to Understand Artificial Intelligence?
In: EISSN: 0933-1875 ; KI - Künstliche Intelligenz ; https://hal.inria.fr/hal-03024034 ; KI - Künstliche Intelligenz, Springer Nature, 2021, pp.1610-1987 (2021)
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4
Formalizing Problem Solving in Computational Thinking : an Ontology approach
In: IEEE ICDL 2021 – International Conference on Development and Learning 2021 ; https://hal.inria.fr/hal-03324136 ; IEEE ICDL 2021 – International Conference on Development and Learning 2021, Aug 2021, Beijing, China (2021)
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5
Ontology as neuronal-space manifold: Towards symbolic and numerical artificial embedding
In: KRHCAI 2021 Workshop on Knowledge Representation for Hybrid & Compositional AI @ KR2021 ; https://hal.inria.fr/hal-03360307 ; KRHCAI 2021 Workshop on Knowledge Representation for Hybrid & Compositional AI @ KR2021, Nov 2021, Hanoi, Vietnam (2021)
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6
Ontology as neuronal-space manifold: Towards symbolic and numerical artificial embedding
In: KRHCAI 2021 Workshop on Knowledge Representation for Hybrid & Compositional AI @ KR2021 ; https://hal.inria.fr/hal-03360307 ; KRHCAI 2021 Workshop on Knowledge Representation for Hybrid & Compositional AI @ KR2021, Nov 2021, Hanoi, Vietnam (2021)
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7
Ontology as neuronal-space manifold: Towards symbolic and numerical artificial embedding
In: KRHCAI 2021 Workshop on Knowledge Representation for Hybrid & Compositional AI @ KR2021 ; https://hal.inria.fr/hal-03360307 ; KRHCAI 2021 Workshop on Knowledge Representation for Hybrid & Compositional AI @ KR2021, Nov 2021, Hanoi, Vietnam (2021)
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8
Learning to Parse Sentences with Cross-Situational Learning using Different Word Embeddings Towards Robot Grounding ...
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9
Cognitive Architecture and Software Environment for the Design and Experimentation of Survival Behaviors in Artificial Agents
In: IJCCI 2018 - 10th International Joint Conference on Computational Intelligence ; https://hal.inria.fr/hal-01931497 ; IJCCI 2018 - 10th International Joint Conference on Computational Intelligence, Sep 2018, Seville, Spain (2018)
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10
Terres neuves agricoles, terres d'élevage en sursis » : trajectoires actuelles et recomposition des espaces agropastoraux dans le Sud- Ouest nigérien
In: 5ème Rencontres des études africaines en France ; https://hal.archives-ouvertes.fr/hal-02421705 ; 5ème Rencontres des études africaines en France, Jul 2018, Marseille, France (2018)
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11
Can self-organisation emerge through dynamic neural fields computation?
In: Connection science. - Abingdon, Oxfordshire : Taylor & Francis 23 (2011) 1, 1-31
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12
Dynamique des ressources pastorales, perception des changements et stratégies d’adaptation des agropasteurs sahéliens : exemple de la commune de Hombori (Mali).
In: 3ème conférence internationale AMMA-France ; https://hal.archives-ouvertes.fr/hal-02421770 ; 3ème conférence internationale AMMA-France, Nov 2010, Toulouse, France (2010)
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13
Spatio-Temporal and Complex-Valued Models based on SOM map applied to Speech Recognition
In: Twentieth International Joint Conference on Artificial Intelligence - IJCAI'2007 ; https://hal.inria.fr/inria-00118122 ; Twentieth International Joint Conference on Artificial Intelligence - IJCAI'2007, Jan 2007, Hyderabad, India (2007)
Abstract: Workshop on Complex valued neural networks and neuro-computing: novel methods, applications and implementations ; International audience ; Speech perception and recognition using biologically inspired models is a challenging issue not well explored yet. The paper presents two spatiotemporal biologically inspired methods for the preprocessing and learning of speech signal based on SOM (Self Organization Map). The experimental results are very encouraging and provide a framework which could be more studied to overcome present limitation of speech perception and recognition technology.
Keyword: [INFO.INFO-NE]Computer Science [cs]/Neural and Evolutionary Computing [cs.NE]; ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE/I.2.6: Learning/I.2.6.2: Connectionism and neural nets; ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.4: Applications/I.5.4.1: Signal processing; biologically inspired models; Complex-valued models; spatio-temporal processing; speech recognition
URL: https://hal.inria.fr/inria-00118122
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14
Spatio-temporal biologically inspired models for clean and noisy speech recognition
In: ISSN: 0925-2312 ; Neurocomputing ; https://hal.inria.fr/inria-00186512 ; Neurocomputing, Elsevier, 2007, 71 (1-3), pp.131--136. ⟨10.1016/j.neucom.2007.08.009⟩ (2007)
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15
Towards Word Semantics from Multi-modal Acoustico-Motor Integration: Application of the Bijama Model to the Setting of Action-Dependant Phonetic Representations
In: Biomimetic Neural Learning for Intelligent Robots: Intelligent Systems, Cognitive Robotics, and Neuroscience ; https://hal.inria.fr/inria-00000634 ; Stefan Wermter and Günther Palm and Mark Elshaw. Biomimetic Neural Learning for Intelligent Robots: Intelligent Systems, Cognitive Robotics, and Neuroscience, 3575 (3575), Springer-Verlag, pp.144--161, 2005, Lecture Notes in Artificial Intelligence, 3-540-27440-5. ⟨10.1007/b139051⟩ (2005)
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16
Multi-criteria self-organization: Example of motor-dependent phonetic representation for a multi-modal robot
In: Neurobotics Workshop of the 27th german conference on Artificial Intelligence ; https://hal.inria.fr/inria-00099901 ; Neurobotics Workshop of the 27th german conference on Artificial Intelligence, Sep 2004, Ulm, Germany, 12 p (2004)
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17
From a biological to a computational model for the autonomous behavior of an animat
In: Information sciences. - New York, NY : Elsevier Science Inc. 144 (2002) 1, 1-44
OLC Linguistik
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18
Connectionist models of speech
Bridle, John S. (Mitarb.); Fallside, Frank (Mitarb.); Waibel, Alex (Mitarb.)...
In: Speech recognition and understanding. - Berlin [u.a.] : Springer (1992), 225-316
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19
Les Soirées helvétiennes, alsaciennes et fran-comtoises
UB Frankfurt Retrokatalog
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