Case-Based Reasoning Research and Development [[electronic resource] ] : 27th International Conference, ICCBR 2019, Otzenhausen, Germany, September 8–12, 2019, Proceedings / / edited by Kerstin Bach, Cindy Marling |
Edizione | [1st ed. 2019.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
Descrizione fisica | 1 online resource (XXI, 405 p. 158 illus., 88 illus. in color.) |
Disciplina | 153.43 |
Collana | Lecture Notes in Artificial Intelligence |
Soggetto topico |
Artificial intelligence
Application software Information storage and retrieval Data mining Artificial Intelligence Computer Appl. in Administrative Data Processing Information Storage and Retrieval Data Mining and Knowledge Discovery |
ISBN | 3-030-29249-5 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | 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. |
Record Nr. | UNISA-996466443103316 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
|
Case-Based Reasoning Research and Development : 27th International Conference, ICCBR 2019, Otzenhausen, Germany, September 8–12, 2019, Proceedings / / edited by Kerstin Bach, Cindy Marling |
Edizione | [1st ed. 2019.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
Descrizione fisica | 1 online resource (XXI, 405 p. 158 illus., 88 illus. in color.) |
Disciplina |
153.43
006.333 |
Collana | Lecture Notes in Artificial Intelligence |
Soggetto topico |
Artificial intelligence
Application software Information storage and retrieval Data mining Artificial Intelligence Computer Appl. in Administrative Data Processing Information Storage and Retrieval Data Mining and Knowledge Discovery |
ISBN | 3-030-29249-5 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | 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. |
Record Nr. | UNINA-9910349301403321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Nordic Artificial Intelligence Research and Development : Third Symposium of the Norwegian AI Society, NAIS 2019, Trondheim, Norway, May 27–28, 2019, Proceedings / / edited by Kerstin Bach, Massimiliano Ruocco |
Edizione | [1st ed. 2019.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
Descrizione fisica | 1 online resource (X, 149 p. 84 illus., 78 illus. in color.) |
Disciplina | 006.3 |
Collana | Communications in Computer and Information Science |
Soggetto topico |
Artificial intelligence
Optical data processing Education—Data processing Application software Artificial Intelligence Image Processing and Computer Vision Computers and Education Computer Applications |
ISBN | 3-030-35664-7 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910357846303321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|