Multi-Document Summarization Using Distortion-Rate Ratio
6 Angebote vergleichen
Bester Preis: € 49,41 (vom 02.05.2019)1
Symbolbild
Multi-Document Summarization Using Distortion-Rate Ratio (2019)
~EN PB NW
ISBN: 9783330066052 bzw. 3330066059, vermutlich in Englisch, LAP Lambert Academic Publishing Feb 2019, Taschenbuch, neu.
Lieferung aus: Deutschland, Versandkostenfrei.
Von Händler/Antiquariat, AHA-BUCH GmbH [51283250], Einbeck, Germany.
Neuware - The present book investigates distortion-rate ratio in the context of multi-document summarization. The multi-document summarization is considered as a data compression task. Optimal Tree Pruning algorithm introduced by Breiman et al. and extended by Chou et al. is adapted to multi-document summarization. The main issue in the multi-document task is redundancy. The input documents discuss the similar topics and thus contain repeated information about them. To avoid the inclusion of the repeated information in the summary, the redundant information have to be detected and eliminated. Hierarchical Agglomerative Clustering algorithm is used to detect the redundancy in the documents. This algorithm is chosen, since it yields a binary tree that is used in the optimal tree pruning algorithm. 96 pp. Englisch.
Von Händler/Antiquariat, AHA-BUCH GmbH [51283250], Einbeck, Germany.
Neuware - The present book investigates distortion-rate ratio in the context of multi-document summarization. The multi-document summarization is considered as a data compression task. Optimal Tree Pruning algorithm introduced by Breiman et al. and extended by Chou et al. is adapted to multi-document summarization. The main issue in the multi-document task is redundancy. The input documents discuss the similar topics and thus contain repeated information about them. To avoid the inclusion of the repeated information in the summary, the redundant information have to be detected and eliminated. Hierarchical Agglomerative Clustering algorithm is used to detect the redundancy in the documents. This algorithm is chosen, since it yields a binary tree that is used in the optimal tree pruning algorithm. 96 pp. Englisch.
2
Multi-Document Summarization Using Distortion-Rate Ratio
~EN NW
ISBN: 9783330066052 bzw. 3330066059, vermutlich in Englisch, neu.
Lieferung aus: Vereinigtes Königreich Großbritannien und Nordirland, Lieferzeit: 11 Tage, zzgl. Versandkosten.
The present book investigates distortion-rate ratio in the context of multi-document summarization. The multi-document summarization is considered as a data compression task. Optimal Tree Pruning algorithm introduced by Breiman et al. and extended by Chou et al. is adapted to multi-document summarization. The main issue in the multi-document task is redundancy. The input documents discuss the similar topics and thus contain repeated information about them. To avoid the inclusion of the repeated information in the summary, the redundant information have to be detected and eliminated. Hierarchical Agglomerative Clustering algorithm is used to detect the redundancy in the documents. This algorithm is chosen, since it yields a binary tree that is used in the optimal tree pruning algorithm.
The present book investigates distortion-rate ratio in the context of multi-document summarization. The multi-document summarization is considered as a data compression task. Optimal Tree Pruning algorithm introduced by Breiman et al. and extended by Chou et al. is adapted to multi-document summarization. The main issue in the multi-document task is redundancy. The input documents discuss the similar topics and thus contain repeated information about them. To avoid the inclusion of the repeated information in the summary, the redundant information have to be detected and eliminated. Hierarchical Agglomerative Clustering algorithm is used to detect the redundancy in the documents. This algorithm is chosen, since it yields a binary tree that is used in the optimal tree pruning algorithm.
3
Multi-Document Summarization Using Distortion-Rate Ratio (2019)
~EN PB NW
ISBN: 9783330066052 bzw. 3330066059, vermutlich in Englisch, 96 Seiten, LAP Lambert Academic Publishing, Taschenbuch, neu.
Lieferung aus: Deutschland, Versandkosten nach: Deutschland, Versandkostenfrei.
Von Händler/Antiquariat, Syndikat Buchdienst, [4235284].
The present book investigates distortion-rate ratio in the context of multi-document summarization. The multi-document summarization is considered as a data compression task. Optimal Tree Pruning algorithm introduced by Breiman et al. and extended by Chou et al. is adapted to multi-document summarization. The main issue in the multi-document task is redundancy. The input documents discuss the similar topics and thus contain repeated information about them. To avoid the inclusion of the repeated information in the summary, the redundant information have to be detected and eliminated. Hierarchical Agglomerative Clustering algorithm is used to detect the redundancy in the documents. This algorithm is chosen, since it yields a binary tree that is used in the optimal tree pruning algorithm. 2019, Taschenbuch / Paperback, Neuware, H: 220mm, B: 150mm, 96, Internationaler Versand, Selbstabholung und Barzahlung, PayPal, offene Rechnung, Banküberweisung.
Von Händler/Antiquariat, Syndikat Buchdienst, [4235284].
The present book investigates distortion-rate ratio in the context of multi-document summarization. The multi-document summarization is considered as a data compression task. Optimal Tree Pruning algorithm introduced by Breiman et al. and extended by Chou et al. is adapted to multi-document summarization. The main issue in the multi-document task is redundancy. The input documents discuss the similar topics and thus contain repeated information about them. To avoid the inclusion of the repeated information in the summary, the redundant information have to be detected and eliminated. Hierarchical Agglomerative Clustering algorithm is used to detect the redundancy in the documents. This algorithm is chosen, since it yields a binary tree that is used in the optimal tree pruning algorithm. 2019, Taschenbuch / Paperback, Neuware, H: 220mm, B: 150mm, 96, Internationaler Versand, Selbstabholung und Barzahlung, PayPal, offene Rechnung, Banküberweisung.
4
Multi-Document Summarization Using Distortion-Rate Ratio
~EN PB NW
ISBN: 9783330066052 bzw. 3330066059, vermutlich in Englisch, LAP Lambert Academic Publishing, Taschenbuch, neu.
Lieferung aus: Deutschland, Versandkostenfrei.
Multi-Document Summarization Using Distortion-Rate Ratio: The present book investigates distortion-rate ratio in the context of multi-document summarization. The multi-document summarization is considered as a data compression task. Optimal Tree Pruning algorithm introduced by Breiman et al. and extended by Chou et al. is adapted to multi-document summarization. The main issue in the multi-document task is redundancy. The input documents discuss the similar topics and thus contain repeated information about them. To avoid the inclusion of the repeated information in the summary, the redundant information have to be detected and eliminated. Hierarchical Agglomerative Clustering algorithm is used to detect the redundancy in the documents. This algorithm is chosen, since it yields a binary tree that is used in the optimal tree pruning algorithm. Englisch, Taschenbuch.
Multi-Document Summarization Using Distortion-Rate Ratio: The present book investigates distortion-rate ratio in the context of multi-document summarization. The multi-document summarization is considered as a data compression task. Optimal Tree Pruning algorithm introduced by Breiman et al. and extended by Chou et al. is adapted to multi-document summarization. The main issue in the multi-document task is redundancy. The input documents discuss the similar topics and thus contain repeated information about them. To avoid the inclusion of the repeated information in the summary, the redundant information have to be detected and eliminated. Hierarchical Agglomerative Clustering algorithm is used to detect the redundancy in the documents. This algorithm is chosen, since it yields a binary tree that is used in the optimal tree pruning algorithm. Englisch, Taschenbuch.
5
Symbolbild
Multi-Document Summarization Using Distortion-Rate Ratio (2019)
EN PB NW
ISBN: 9783330066052 bzw. 3330066059, in Englisch, 96 Seiten, LAP Lambert Academic Publishing, Taschenbuch, neu.
Lieferung aus: Deutschland, Gewöhnlich versandfertig in 24 Stunden, Versandkostenfrei. Tatsächliche Versandkosten können abweichen.
Von Händler/Antiquariat, averdo24.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
Von Händler/Antiquariat, averdo24.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
6
Symbolbild
Multi-Document Summarization Using Distortion-Rate Ratio
~EN PB NW
ISBN: 9783330066052 bzw. 3330066059, vermutlich in Englisch, Taschenbuch, neu.
Lieferung aus: Deutschland, Versandkostenfrei.
Von Händler/Antiquariat, European-Media-Service Mannheim [1048135], Mannheim, Germany.
Publisher/Verlag: LAP Lambert Academic Publishing | Format: Paperback | Language/Sprache: english | 96 pp.
Von Händler/Antiquariat, European-Media-Service Mannheim [1048135], Mannheim, Germany.
Publisher/Verlag: LAP Lambert Academic Publishing | Format: Paperback | Language/Sprache: english | 96 pp.
Lade…