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1. |
Record Nr. |
UNINA9910488728503321 |
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Autore |
Somaratne G. A. |
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Titolo |
The Buddha's Teaching : A Buddhistic Analysis / / by G. A. Somaratne |
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Pubbl/distr/stampa |
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Singapore : , : Springer Nature Singapore : , : Imprint : Palgrave Macmillan, , 2021 |
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ISBN |
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Edizione |
[1st ed. 2021.] |
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Descrizione fisica |
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1 online resource (401 pages) |
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Disciplina |
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Soggetti |
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Buddhist philosophy |
Buddhism |
Buddhism and culture |
Buddhism and the social sciences |
Religion |
Buddhist Cultural Studies |
Social Scientific Studies of Buddhism |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Introduction -- Learning the Dhamma -- The Middle Theory -- Ignorance of Ignorance -- Subjective Configurations -- Sensory Experience -- Not-self -- Craving for Sensuality -- Craving for Self-continuity -- Reckoned Suffering -- Three Sufferings -- The Birth-cycle -- The Ultimate Goal -- The Gradual Path -- Conclusion. |
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Sommario/riassunto |
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This book approaches the Dhamma, the Buddha's teaching, from a Buddhistic perspective, viewing various individual teachings presented in hundreds of early discourses of Pali canon, comprehending them under a single systemic thought of a single individual called the Buddha. It explicates the structure of this thought, going through various contextual teachings and teaching categories of the discourses, treating them as necessary parts of a liberating thought that constitutes the right view of one who embraces the Buddha's teaching as his or her sole philosophy of life. It interprets the diverse individual dhammas as being in congruence with each other; and as contributory to forming the whole of the Buddha's teaching, the Dhamma. By |
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exploring some selected topics such as ignorance, configurations, not-self, and nibbāna in thirteen chapters, the book enables readers to understand the whole (the Dhamma) in relation to the parts (the dhammas), and the parts inrelation to the whole, while realizing the importance of studying every single dhamma category or topic not for its own sake but for understand the entirety of the teaching. This way of viewing and explaining the teachings of the discourses enables readers to clearly comprehend the teaching of the Buddha in early Buddhism. |
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2. |
Record Nr. |
UNIORUON00083106 |
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Autore |
CISSOKO, Sekene-Mody |
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Titolo |
Le Khasso : face à l'empire toucouleur et à la France dans le Haut-Senegal 1854-1890 / Cissoko Sékéné Mody |
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Pubbl/distr/stampa |
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Paris, : Harmattan, c1988 |
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ISBN |
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Descrizione fisica |
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351 p., c. geogr. ; 22 cm |
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Disciplina |
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Soggetti |
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Regni africani - Africa occidentale |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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3. |
Record Nr. |
UNINA9910742489703321 |
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Autore |
Xu Hua (Writer on computer science) |
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Titolo |
Intent Recognition for Human-Machine Interactions / / by Hua Xu, Hanlei Zhang, Ting-En Lin |
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Pubbl/distr/stampa |
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Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
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ISBN |
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Edizione |
[1st ed. 2023.] |
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Descrizione fisica |
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1 online resource (162 pages) |
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Collana |
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SpringerBriefs in Computer Science, , 2191-5776 |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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User interfaces (Computer systems) |
Human-computer interaction |
Data mining |
Artificial intelligence |
Robotics |
User Interfaces and Human Computer Interaction |
Data Mining and Knowledge Discovery |
Artificial Intelligence |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Part I: Overview -- Chapter 1. Dialogue System -- Chapter 2. Intent Recognition -- Part II: Intent Classification -- Chapter 3. Intent Classification Based on Single Model -- Chapter 4. A Dual RNN Semantic Analysis Framework for Intent Classification and Slot -- Part III: Unknown Intent Detection -- Chapter 5. Unknown Intent Detection Method Based on Model Post-processing -- Chapter 6. Unknown Intent Detection Based on Large-Margin Cosine Loss -- Chapter 7. Unknown Intention Detection Method based on Dynamic Constraint Boundary -- Part IV: Discovery of Unknown Intents -- Chapter 8. Discovering New Intents via Constrained Deep Adaptive Clustering with Cluster Refinement -- Chapter 9. Discovering New Intents with Deep Aligned Clustering -- Part V: Dialogue Intent Recognition Platform -- Chapter 10. Experiment Platform for Dialogue Intent Recognition based on Deep |
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Learning -- Part VI: Summary and Future Work -- Chapter 11. Summary -- Appendix. |
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Sommario/riassunto |
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Natural interaction is one of the hottest research issues in human-computer interaction. At present, there is an urgent need for intelligent devices (service robots, virtual humans, etc.) to be able to understand intentions in an interactive dialogue. Focusing on human-computer understanding based on deep learning methods, the book systematically introduces readers to intention recognition, unknown intention detection, and new intention discovery in human-computer dialogue. This book is the first to present interactive dialogue intention analysis in the context of natural interaction. In addition to helping readers master the key technologies and concepts of human-machine dialogue intention analysis and catch up on the latest advances, it includes valuable references for further research. |
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