| TÃtulo : |
27th International Conference, ICCBR 2019, Otzenhausen, Germany, September 8–12, 2019, Proceedings |
| Tipo de documento: |
documento electrónico |
| Autores: |
Bach, Kerstin, ; Marling, Cindy, |
| Mención de edición: |
1 ed. |
| Editorial: |
[s.l.] : Springer |
| Fecha de publicación: |
2019 |
| Número de páginas: |
XXI, 405 p. 158 ilustraciones, 88 ilustraciones en color. |
| ISBN/ISSN/DL: |
978-3-030-29249-2 |
| Nota general: |
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. |
| Palabras clave: |
Inteligencia artificial TecnologÃa de la información Sistemas de almacenamiento y recuperación de información Procesamiento de datos Aplicación Informática en Tratamiento de Datos Administrativos Almacenamiento y recuperación de información MinerÃa de datos y descubrimiento de conocimientos |
| Ãndice Dewey: |
006.3 Inteligencia artificial |
| Resumen: |
Este libro constituye las actas arbitradas de la 27.ª Conferencia Internacional sobre Investigación y Desarrollo del Razonamiento Basado en Casos, ICCBR 2019, celebrada en Otzenhausen, Alemania, en septiembre de 2019. Los 26 artÃculos completos presentados en este libro fueron cuidadosamente revisados ​​y seleccionados de 43 presentaciones. Se seleccionaron 15 para presentación oral y 11 para presentación en póster. El tema de la ICCBR 2019, "IA explicable (XAI)", se destacó mediante varias actividades. Estos artÃculos, que se incluyen en las actas, abordan muchos temas relacionados con la teorÃa y la aplicación del razonamiento basado en casos y su dirección futura. |
| Nota de contenido: |
Comparing Similarity Learning with Taxonomies and One-Mode Projection in Context of the FEATURE-TAK Framework -- An Algorithm Independent Case-Based Explanation Approach for Recommender Systems Using Interaction Graphs -- Explanation of Recommender Systems using Formal Concept Analysis -- FLEA-CBR { A Flexible Alternative to the Classic 4R Cycle of Lazy Learned Screening for Efficient Recruitment -- Case-Based Reasoning -- On the Generalization Capabilities of Sharp Minima in Case-Based Reasoning -- CBR Confidence as a Basis for Confidence in Black Box Systems -- Probabilistic Selection of Case-Based Explanations in an Underwater Mine Clearance Domain -- A Data-Driven Approach for Determining Weights in Global Similarity Functions -- Personalized case-based explanation of matrix factorization Recommendations -- How Case-Based Reasoning Explains Neural Networks -- Predicting Grass Growth for Sustainable Dairy Farming: A CBR System Using Bayesian Case-Exclusion and Post-Hoc, Personalized Explanation-by-Example (XAI) -- Learning Workflow Embeddings to Improve the Performance of Similarity-Based Retrieval for Process-Oriented Case-Based Reasoning -- On Combining Case Adaptation Rules -- Semantic Textual Similarity Measures for Case-Based Retrieval of Argument Graphs -- An approach to case-based reasoning based on local enrichment of the case base -- Improving analogical extrapolation using case pair competence -- Towards Finding Flow in Tetris -- Scoring Performance on the Y-Balance Test -- An Optimal Case-base Maintenance Method for Compositional Adaptation Applications -- Towards Human-like Bots using Online Interactive Case-Based Reasoning -- Show me your friends, I'll tell you who you are: Recommending products based on hidden evidence -- A Tale of Two Communities: An Analysis of Three Decades of Case-Based Reasoning Research -- Going Further with Cases: Using Case-Based Reasoning to Recommend Pacing Strategies for Ultra-Marathon Runners -- NOD-CC: A Hybrid CBR-CNN Architecture for Novel Object Discovery -- Adaptation of Scientific Workflows by Means of Process-Oriented Case-Based Reasoning. |
| En lÃnea: |
https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] |
| Link: |
https://biblioteca.umanizales.edu.co/ils/opac_css/index.php?lvl=notice_display&i |
27th International Conference, ICCBR 2019, Otzenhausen, Germany, September 8–12, 2019, Proceedings [documento electrónico] / Bach, Kerstin, ; Marling, Cindy, . - 1 ed. . - [s.l.] : Springer, 2019 . - XXI, 405 p. 158 ilustraciones, 88 ilustraciones en color. ISBN : 978-3-030-29249-2 Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
| Palabras clave: |
Inteligencia artificial TecnologÃa de la información Sistemas de almacenamiento y recuperación de información Procesamiento de datos Aplicación Informática en Tratamiento de Datos Administrativos Almacenamiento y recuperación de información MinerÃa de datos y descubrimiento de conocimientos |
| Ãndice Dewey: |
006.3 Inteligencia artificial |
| Resumen: |
Este libro constituye las actas arbitradas de la 27.ª Conferencia Internacional sobre Investigación y Desarrollo del Razonamiento Basado en Casos, ICCBR 2019, celebrada en Otzenhausen, Alemania, en septiembre de 2019. Los 26 artÃculos completos presentados en este libro fueron cuidadosamente revisados ​​y seleccionados de 43 presentaciones. Se seleccionaron 15 para presentación oral y 11 para presentación en póster. El tema de la ICCBR 2019, "IA explicable (XAI)", se destacó mediante varias actividades. Estos artÃculos, que se incluyen en las actas, abordan muchos temas relacionados con la teorÃa y la aplicación del razonamiento basado en casos y su dirección futura. |
| Nota de contenido: |
Comparing Similarity Learning with Taxonomies and One-Mode Projection in Context of the FEATURE-TAK Framework -- An Algorithm Independent Case-Based Explanation Approach for Recommender Systems Using Interaction Graphs -- Explanation of Recommender Systems using Formal Concept Analysis -- FLEA-CBR { A Flexible Alternative to the Classic 4R Cycle of Lazy Learned Screening for Efficient Recruitment -- Case-Based Reasoning -- On the Generalization Capabilities of Sharp Minima in Case-Based Reasoning -- CBR Confidence as a Basis for Confidence in Black Box Systems -- Probabilistic Selection of Case-Based Explanations in an Underwater Mine Clearance Domain -- A Data-Driven Approach for Determining Weights in Global Similarity Functions -- Personalized case-based explanation of matrix factorization Recommendations -- How Case-Based Reasoning Explains Neural Networks -- Predicting Grass Growth for Sustainable Dairy Farming: A CBR System Using Bayesian Case-Exclusion and Post-Hoc, Personalized Explanation-by-Example (XAI) -- Learning Workflow Embeddings to Improve the Performance of Similarity-Based Retrieval for Process-Oriented Case-Based Reasoning -- On Combining Case Adaptation Rules -- Semantic Textual Similarity Measures for Case-Based Retrieval of Argument Graphs -- An approach to case-based reasoning based on local enrichment of the case base -- Improving analogical extrapolation using case pair competence -- Towards Finding Flow in Tetris -- Scoring Performance on the Y-Balance Test -- An Optimal Case-base Maintenance Method for Compositional Adaptation Applications -- Towards Human-like Bots using Online Interactive Case-Based Reasoning -- Show me your friends, I'll tell you who you are: Recommending products based on hidden evidence -- A Tale of Two Communities: An Analysis of Three Decades of Case-Based Reasoning Research -- Going Further with Cases: Using Case-Based Reasoning to Recommend Pacing Strategies for Ultra-Marathon Runners -- NOD-CC: A Hybrid CBR-CNN Architecture for Novel Object Discovery -- Adaptation of Scientific Workflows by Means of Process-Oriented Case-Based Reasoning. |
| En lÃnea: |
https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] |
| Link: |
https://biblioteca.umanizales.edu.co/ils/opac_css/index.php?lvl=notice_display&i |
|  |
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