標(biāo)題: Titlebook: Case-Based Reasoning Research and Development; 29th International C Antonio A. Sánchez-Ruiz,Michael W. Floyd Conference proceedings 2021 Sp [打印本頁] 作者: 街道 時間: 2025-3-21 17:05
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作者: 猛然一拉 時間: 2025-3-21 23:47 作者: 存心 時間: 2025-3-22 03:57 作者: EWE 時間: 2025-3-22 06:44
News Recommendation with CF-IDF+istory in direct recommendation of recipes and meal planning, as well as conversational exploration of the possibilities for new food items. But more limited attention has been given to incorporating diversity outcomes as a primary factor in conversational critique for exploration. Critiquing as a m作者: INCUR 時間: 2025-3-22 08:56
Lecture Notes in Computer Sciences of this type of training is the design of the scripts of the sessions, usually called “scenarios”. Currently, civil aviation authorities are advocating a customization of the flight training scenarios based on the specific needs of each pilot, which makes their creation a very demanding task in ti作者: 缺陷 時間: 2025-3-22 12:55 作者: 缺陷 時間: 2025-3-22 19:17 作者: 不近人情 時間: 2025-3-22 23:34
The Relational Process Structure influence trading volume and prices. Nevertheless it has proven to be an attractive target for machine learning research because of the potential for even modest levels of prediction accuracy to deliver significant benefits. In this paper, we describe a case-based reasoning approach to predicting s作者: perjury 時間: 2025-3-23 03:29 作者: 幻想 時間: 2025-3-23 09:21 作者: capsaicin 時間: 2025-3-23 13:17 作者: 曲解 時間: 2025-3-23 15:07 作者: 偽善 時間: 2025-3-23 20:59
Advanced Information Systems Engineeringeral issue of exploiting also negative cases—i.e., problem-solution pairs where the solution answers incorrectly the problem—can be raised. Indeed, such cases are “naturally” generated by a CBR system as long as it sometimes proposes incorrect solutions. This paper aims at addressing this issue for 作者: CAPE 時間: 2025-3-24 00:04 作者: inconceivable 時間: 2025-3-24 03:24 作者: 遍及 時間: 2025-3-24 08:29
Co-destruction Patterns in Crowdsourcing model-dependent and model-independent strategies. However, it is unclear how to choose the best explanation approach for a given image, as these novel XAI approaches are radically different. In this paper, we propose a CBR solution to the problem of choosing the best alternative for the explanation作者: tackle 時間: 2025-3-24 11:54 作者: 對待 時間: 2025-3-24 17:38
Advanced Information Systems Engineeringper, we examine a CBR system (PBI-CBR) designed to aid sustainable dairy farming by supporting grassland management, through accurate crop growth prediction. As climate changes, PBI-CBR’s historical cases become less useful in predicting future grass growth. Hence, we extend PBI-CBR using data augme作者: ARENA 時間: 2025-3-24 21:49 作者: 惰性女人 時間: 2025-3-25 01:33 作者: 一窩小鳥 時間: 2025-3-25 04:40
https://doi.org/10.1007/978-3-030-79382-1 on everyday tasks in open or semi-open domains, where exist a variety of situations that a planning (and execution) agent must deal with. This paper first introduces a new, generic structure for representing tasks and task plans. The paper, then, introduces a generic situation structure and a metho作者: micturition 時間: 2025-3-25 09:30 作者: Truculent 時間: 2025-3-25 12:00
https://doi.org/10.1007/978-3-030-86957-1artificial intelligence; case based reasoning; cognition; computer vision; correlation analysis; data min作者: 混亂生活 時間: 2025-3-25 15:55
978-3-030-86956-4Springer Nature Switzerland AG 2021作者: 愛了嗎 時間: 2025-3-25 20:01
Case-Based Reasoning Research and Development978-3-030-86957-1Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: 茁壯成長 時間: 2025-3-26 00:13 作者: 泛濫 時間: 2025-3-26 06:13 作者: Coronary-Spasm 時間: 2025-3-26 11:44
,Task and Situation Structures for?Case-Based Planning,first introduces a new, generic structure for representing tasks and task plans. The paper, then, introduces a generic situation structure and a methodology of situation handling. The proposed structures support encoding all domain knowledge in . while avoiding hard-coding domain rules.作者: Fortify 時間: 2025-3-26 15:51
0302-9743 th AI and related research focusing on comparison and integration of CBR with other AI methods such as deep learning architectures, reinforcement learning, lifelong learning, and eXplainable AI (XAI)..978-3-030-86956-4978-3-030-86957-1Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: Chandelier 時間: 2025-3-26 17:08
Sander J. J. Leemans,Artem Polyvyanyyed, and propose a Bayesian belief update as a possible way to infer both the parameters of the agent and the content of their case base. We illustrate our ideas with the simple application of an agent learning grammar rules throughout a sequence of observations.作者: aesthetic 時間: 2025-3-27 00:20
Co-destruction Patterns in Crowdsourcing of an image classifier. The case base reflects the human perception of the quality of the explanations generated with different image explanation methods. Then, this experience is reused to select the best explanation approach for a given image.作者: 寬大 時間: 2025-3-27 04:00 作者: 感情 時間: 2025-3-27 05:22
A Case-Based Approach for the Selection of Explanation Algorithms in Image Classification, of an image classifier. The case base reflects the human perception of the quality of the explanations generated with different image explanation methods. Then, this experience is reused to select the best explanation approach for a given image.作者: 修改 時間: 2025-3-27 09:58 作者: 結(jié)合 時間: 2025-3-27 16:11 作者: conjunctivitis 時間: 2025-3-27 19:02
The Relational Process Structured modifying discriminative areas of the time series that underlie the classification. Quantitative and qualitative results from two comparative experiments indicate that Native Guide generates plausible, proximal, sparse and diverse explanations that are better than those produced by key benchmark counterfactual methods.作者: engagement 時間: 2025-3-27 23:05
Advanced Information Systems Engineerings, generated as counterfactuals on an outlier-boundary, improve the predictive accuracy of PBI-CBR, during the drought of 2018. This study also shows that an case-based counterfactual method does better than a benchmark, constraint-guided method.作者: Interregnum 時間: 2025-3-28 04:59 作者: 擺動 時間: 2025-3-28 09:13
The Bites Eclectic: Critique-Based Conversational Recommendation for Diversity-Focused Meal Plannine food domain. In this paper, we introduce DiversityBite, a novel CBR approach that brings together critique and diversity to support conversational recommendation in the recipe domain. Our initial user study evaluation shows that DiversityBite is effective in promoting meal plan diversity.作者: 無法解釋 時間: 2025-3-28 11:19 作者: GLIB 時間: 2025-3-28 15:37
Instance-Based Counterfactual Explanations for Time Series Classification,d modifying discriminative areas of the time series that underlie the classification. Quantitative and qualitative results from two comparative experiments indicate that Native Guide generates plausible, proximal, sparse and diverse explanations that are better than those produced by key benchmark counterfactual methods.作者: SEMI 時間: 2025-3-28 22:42 作者: 隼鷹 時間: 2025-3-29 02:47 作者: 陰謀 時間: 2025-3-29 06:48
0302-9743 a, Spain, during September 13-16, 2021.?.The 21 papers presented in this volume were carefully reviewed and selected from 85 submissions. They deal with AI and related research focusing on comparison and integration of CBR with other AI methods such as deep learning architectures, reinforcement lear作者: hypotension 時間: 2025-3-29 10:37
Advanced Information Systems Engineerings paper, we explain the first experiment to check our hypotheses and methodology. We have obtained promising results that explain the differences between users profiles and their perception of similarity between artworks and how to combine local similarity functions to be able to compute similarity measures reflecting users’ perception.作者: 鋼筆記下懲罰 時間: 2025-3-29 12:10
https://doi.org/10.1007/978-3-030-79382-1first introduces a new, generic structure for representing tasks and task plans. The paper, then, introduces a generic situation structure and a methodology of situation handling. The proposed structures support encoding all domain knowledge in . while avoiding hard-coding domain rules.作者: ANTH 時間: 2025-3-29 15:33
Advanced Information Systems Engineeringdge and arriving at a complexity measure for evaluating dichotomous models. For all the three improvements identified, we discuss the results on real-world data sets and empirically analyse the effectiveness of the same.作者: Injunction 時間: 2025-3-29 21:54 作者: 高深莫測 時間: 2025-3-30 00:36
,Revisiting Fast and Slow Thinking in?Case-Based Reasoning,dge and arriving at a complexity measure for evaluating dichotomous models. For all the three improvements identified, we discuss the results on real-world data sets and empirically analyse the effectiveness of the same.作者: FEIGN 時間: 2025-3-30 07:45
,Harmonizing Case Retrieval and?Adaptation with Alternating Optimization,ing neural network based similarity and adaptation, this study compares alternative optimization, independent learning, and learning by prioritizing adaptation for adaptation-guided retrieval. Results support that alternative optimization can help to balance both components and achieve good performance.作者: FLACK 時間: 2025-3-30 10:10 作者: 無禮回復(fù) 時間: 2025-3-30 13:23 作者: periodontitis 時間: 2025-3-30 18:57
,A Case-Based Reasoning Approach to?Predicting and Explaining Running Related Injuries,o highlight those features that are unique to injured runners (those suffering from training breaks) to emphasise training behaviours that may be responsible for higher levels of injury risk for the target runner. We evaluate our work with a dataset of real-world training data by more than 5,000 rea作者: Monolithic 時間: 2025-3-30 22:42
,Bayesian Feature Construction for?Case-Based Reasoning: Generating Good Checklists, augmented past cases are retrieved via CBR to construct new checklists, which ensures justification for the content of the checklists and promotes trust. Experiments suggest that BCBR is more effective than any other baseline we tested, in terms of constructing trustworthy checklists.作者: confide 時間: 2025-3-31 01:57 作者: avulsion 時間: 2025-3-31 07:11
When Revision-Based Case Adaptation Meets Analogical Extrapolation,). The paper investigates how the belief revision view and analogical extrapolation relate. Besides that it constitutes an unexpected bridge between areas which ignore each other, it casts some light on the adaptation mechanism in case-based reasoning. The paper is illustrated by a running example.作者: 埋伏 時間: 2025-3-31 12:06
,On Combining Knowledge-Engineered and Network-Extracted Features for?Retrieval,y of engineered feature information affects their combined benefit, and tests network methods to generate weights for their combination. Experimental results show that in the test domain under suitable circumstances, the combined approach can outperform either method individually.作者: 藕床生厭倦 時間: 2025-3-31 14:47 作者: 兇殘 時間: 2025-3-31 20:57
The Relational Process Structureilarity metric for comparing historical pricing data. We demonstrate the benefits of this metric and the case-based approach in a real-world application in comparison to a variety of conventional benchmarks.作者: nascent 時間: 2025-3-31 21:47 作者: Indebted 時間: 2025-4-1 04:02
https://doi.org/10.1007/978-3-319-39696-5 augmented past cases are retrieved via CBR to construct new checklists, which ensures justification for the content of the checklists and promotes trust. Experiments suggest that BCBR is more effective than any other baseline we tested, in terms of constructing trustworthy checklists.作者: 聯(lián)想 時間: 2025-4-1 06:35
Advanced Information Systems Engineering. This paper resumes this study and evaluates it on 4 benchmarks, which confirms the benefit of exploiting negative cases for AK discovery. This involves some adjustments in the data preparation and in adaptation rule filtering, in particular because FCI extraction works only with Boolean features, 作者: Thymus 時間: 2025-4-1 10:30 作者: Saline 時間: 2025-4-1 16:49
