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Representation Learning : Propositionalization and Embeddings / Nada Lavrač, Vid Podpečan, Marko Robnik-Šikonja
| Representation Learning : Propositionalization and Embeddings / Nada Lavrač, Vid Podpečan, Marko Robnik-Šikonja |
| Autore | Lavrac, Nada |
| Pubbl/distr/stampa | Cham, : Springer, 2021 |
| Descrizione fisica | xvi, 163 p. : ill. ; 24 cm |
| Altri autori (Persone) |
Podpečan, Vid
Robnik-Šikonja, Marko |
| Soggetto topico |
68-XX - Computer science [MSC 2020]
68T05 - Learning and adaptive systems in artificial intelligence [MSC 2020] |
| Soggetto non controllato |
Data fusion
Data structures Deep Learning Embeddings Feature construction Heterogeneous data mining Information networks Machine learning Networks Ontologies Open science Propositionalization Relational Learning Relational data mining Semantic data mining Texts |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0275251 |
Lavrac, Nada
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| Cham, : Springer, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Representation Learning : Propositionalization and Embeddings / Nada Lavrač, Vid Podpečan, Marko Robnik-Šikonja
| Representation Learning : Propositionalization and Embeddings / Nada Lavrač, Vid Podpečan, Marko Robnik-Šikonja |
| Autore | Lavrac, Nada |
| Pubbl/distr/stampa | Cham, : Springer, 2021 |
| Descrizione fisica | xvi, 163 p. : ill. ; 24 cm |
| Altri autori (Persone) |
Podpečan, Vid
Robnik-Šikonja, Marko |
| Soggetto topico |
68-XX - Computer science [MSC 2020]
68T05 - Learning and adaptive systems in artificial intelligence [MSC 2020] |
| Soggetto non controllato |
Data fusion
Data structures Deep Learning Embeddings Feature construction Heterogeneous data mining Information networks Machine learning Networks Ontologies Open science Propositionalization Relational Learning Relational data mining Semantic data mining Texts |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN00275251 |
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Lavrac, Nada
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| Cham, : Springer, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Road Vehicles Surroundings Supervision : : On-Board Sensors and Communications / / Felipe Jimenez
| Road Vehicles Surroundings Supervision : : On-Board Sensors and Communications / / Felipe Jimenez |
| Autore | Jimenez Felipe |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (218 p.) |
| Soggetto topico | Transport technology & trades |
| Soggetto non controllato |
Computer vision
Obstacles detection Connected vehicles Vehicle surroundings supervision Vehicle surroundings reconstruction Visual SLAM Autonomous driving V2X communications Driver assistance systems Laser scanner Data fusion Trajectory estimation Cooperative driving |
| ISBN |
9783038975694
3038975699 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910346680803321 |
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Jimenez Felipe
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Target Tracking with Random Finite Sets / Weihua Wu ... [et al.]
| Target Tracking with Random Finite Sets / Weihua Wu ... [et al.] |
| Pubbl/distr/stampa | Singapore, : Springer ; Beijing, : National Defense Industry, 2023 |
| Descrizione fisica | xvi, 443 p. : ill. ; 24 cm |
| Soggetto non controllato |
Cardinalized probability hypothesis density
Data fusion Generalized labeled multi-Bernoulli Information fusion Labeled multi-Bernoulli Multi-Bernoulli Probability hypothesis density Random finite set Random set Sensor fusion Target tracking |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0279296 |
| Singapore, : Springer ; Beijing, : National Defense Industry, 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Target Tracking with Random Finite Sets / Weihua Wu ... [et al.]
| Target Tracking with Random Finite Sets / Weihua Wu ... [et al.] |
| Pubbl/distr/stampa | Singapore, : Springer ; Beijing, : National Defense Industry, 2023 |
| Descrizione fisica | xvi, 443 p. : ill. ; 24 cm |
| Soggetto topico |
94-XX - Information and communication theory, circuits [MSC 2020]
94A12 - Signal theory (characterization, reconstruction, filtering, etc.) [MSC 2020] 94A13 - Detection theory in information and communication theory [MSC 2020] |
| Soggetto non controllato |
Cardinalized probability hypothesis density
Data fusion Generalized labeled multi-Bernoulli Information fusion Labeled multi-Bernoulli Multi-Bernoulli Probability hypothesis density Random finite set Random set Sensor fusion Target tracking |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN00279296 |
| Singapore, : Springer ; Beijing, : National Defense Industry, 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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