2,526,178 Hits in 9.5 sec

Representation in case-based reasoning

2005 Knowledge engineering review (Print)  
A case in case-based reasoning is a contextualized piece of experience, which can be represented in various forms.  ...  More sophisticated approaches make use of hierarchical representations or generalized cases. For particular tasks such as design and planning highly specific representations have been developed.  ...  Case representation in case-based reasoning (CBR) makes use of familiar knowledge representation formalisms from AI to represent the experience contained in the cases for reasoning purposes.  ... 
doi:10.1017/s0269888906000555 fatcat:aj3kqjz7eng6jhj4cwu45m3os4

Fault Representation in Case-Based Reasoning [chapter]

Ha Manh Tran, Jürgen Schönwälder
2007 Lecture Notes in Computer Science  
Our research aims to assist operators in finding solutions for faults using distributed case-based reasoning.  ...  One key operation of the distributed case-based reasoning system is to retrieve similar faults and solutions from various online knowledge sources.  ...  Acknowledgement The work reported in this paper is supported by the EC IST-EMANICS Network of Excellence (#26854).  ... 
doi:10.1007/978-3-540-75694-1_5 fatcat:sq7v5bcpf5ajzioylsmmauf554

Case Representation Issues for Case-Based Reasoning from Ensemble Research [chapter]

Pádraig Cunningham, Gabriele Zenobi
2001 Lecture Notes in Computer Science  
One means of producing this diversity in nearest neighbour classifiers is to base the member classifiers on different feature subsets. In this paper we show four examples where this is the case.  ...  We show that if diversity is emphasised in the development of the ensemble that the ensemble members appear to be local learners specializing in sub-domains of the problem space.  ...  In this paper we present an example of the shortcomings of a case representation based on a single feature-value vector.  ... 
doi:10.1007/3-540-44593-5_11 fatcat:x6gsfbf6kjcg5lfklynf4sltty

WUENIC – A Case Study in Rule-Based Knowledge Representation and Reasoning [chapter]

Robert Kowalski, Anthony Burton
2012 Lecture Notes in Computer Science  
In this paper, we focus on knowledge representation and problemsolving issues, including the use of logical rules versus production rules, backward versus forward reasoning, and rules and exceptions versus  ...  WUENIC is a rule-based system implemented as a logic program, developed by WHO and UNICEF for estimating global, country by country, infant immunization coverage.  ...  In addition to considering different kinds of rules, we also considered rule-based versus argumentation-based representations and implementations.  ... 
doi:10.1007/978-3-642-32090-3_11 fatcat:pp5iyyqqbncfthzbqhqoekitbi

An Associated Representation Method for Defining Agricultural Cases in a Case-Based Reasoning System for Fast Case Retrieval

Zhai, Martínez Ortega, Beltran, Lucas Martínez
2019 Sensors  
A proper case representation method plays a crucial role in case-based reasoning systems.  ...  The similarity of associated cases is measured preferentially, instead of comparing all the cases in the case base.  ...  Textual Representation The textual representation method is commonly used in textual case-based reasoning (TCBR) [26] .  ... 
doi:10.3390/s19235118 pmid:31766763 pmcid:PMC6929128 fatcat:j4x7gsrbpzealiubbs4fcsflsi

Case Representation and Similarity Assessment in a Recommender System to Support Dementia Caregivers in Geriatric and Palliative Care

Sara Nasiri, Madjid Fathi
2017 International Conference on Case-Based Reasoning  
In this paper, a case-based reasoner uses International Classification of Functioning, Disability, and Health framework of WHO (ICF codes) and medical expressions to create keyword association profiles  ...  Case-based learning assistant system helps users to find their answers in dealing with their problems. It also used their feedback to update cases and for improvement of references.  ...  Textual case-based reasoning (TCBR) is "a subfield of CBR concerned with research and implementation on case-based reasoners where some or all of the knowledge sources are available in the textual format  ... 
dblp:conf/iccbr/NasiriF17 fatcat:kgzjdgbwyfhg7mdbuyijbjw7pi

Adapting Numerical Representations of Lung Contours Using Case-Based Reasoning and Artificial Neural Networks [chapter]

Julien Henriet, Pierre-Emmanuel Leni, Rémy Laurent, Ana Roxin, Brigitte Chebel-Morello, Michel Salomon, Jad Farah, David Broggio, Didier Franck, Libor Makovicka
2012 Lecture Notes in Computer Science  
In most cases, this evaluation is based on numerical representations and models of subjects.  ...  The EquiVox platform (Research of Equivalent Voxel phantom) developed in this study uses Case-Based Reasoning principles to retrieve and adapt, from among a set of existing phantoms, the one to represent  ...  Case-Based Reasoning (CBR) is a problem solving method that uses similar solutions from similar past problems in order to solve new problems [3] .  ... 
doi:10.1007/978-3-642-32986-9_12 fatcat:stbpxe7z5jfunp3modpiaaqbnu

Monotonicity and Noise-Tolerance in Case-Based Reasoning with Abstract Argumentation

Guilherme Paulino-Passos, Francesca Toni
2021 Proceedings of the Eighteenth International Conference on Principles of Knowledge Representation and Reasoning   unpublished
Recently, abstract argumentation-based models of case-based reasoning (AA-CBR in short) have been proposed, originally inspired by the legal domain, but also applicable as classifiers in different scenarios  ...  Further, we prove that such variation is equivalent to using AA-CBR_> with a restricted casebase consisting of all "surprising" and "sufficient" cases in the original casebase.  ...  Introduction Case-based reasoning (CBR) relies upon known solutions for problems (past cases) to infer solutions for unseen problems (new cases), based upon retrieving past cases which are "similar" to  ... 
doi:10.24963/kr.2021/48 fatcat:n7zg7rwrf5epbhfjvw5qyl3g7i

Default-Reasoning with Models

Roni Khardon, Dan Roth
1995 International Joint Conference on Artificial Intelligence  
In particular, this includes cases in which performing the default reasoning task with the traditional, formula-based, representation is in tractable.  ...  We characterize the cases in which model-based reasoning supports efficient default reasoning and develop algorithms that handle efficiently fragments of Reiter's default logic.  ...  As in the case of deductive and abductive reasoning [Khardon and Roth, 1994c] , we present an efficient de fault reasoning algorithm for cases where the formula based reasoning is hard.  ... 
dblp:conf/ijcai/KhardonR95 fatcat:t26eayrefbe6vdxeojotsgccla

Study on the Key Technology of Personalized Recommendation of Case-based Reasoning

Fuliang Li, Jieli Sun, Xia Zhangi
2015 International Journal of u- and e- Service, Science and Technology  
The key technology of personalized recommendation based on CBR involves the representation and the organization of case, construction and maintenance of multiple cases library, judging of the similarity  ...  The commonly used calculation model in calculating the case similarity are the following three:  ...  That case is closely related to specific applications and therefore case representation of personalized recommendation in case-based reasoning system needs to analyze and make use of the representation  ... 
doi:10.14257/ijunesst.2015.8.4.34 fatcat:lc3hzerzcrdixbkyqdallwccqi

Case Based Reasoning: Case Representation Methodologies

Shaker H., Mohammed Elmogy
2015 International Journal of Advanced Computer Science and Applications  
Case Based Reasoning (CBR) is an important technique in artificial intelligence, which has been applied to various kinds of problems in a wide range of domains.  ...  By using a proposed set of qualitative metrics, the existing methods based on ontology for case representation are studied and evaluated in details. All these systems have limitations.  ...  on Case-Based Reasoning.  ... 
doi:10.14569/ijacsa.2015.061126 fatcat:yhnymzvac5f6zplqliddkx5ikq

Design Case Representation Under Decision-based Design Theory

Xuehai Shi, Guoxin Wang, Zhenjun Ming
2017 DEStech Transactions on Materials Science and Engineering  
The modeling and representation of product design case is the foundation to reuse design cases. Ramon (2005) elaborated and completely describe the case-based reasoning method.  ...  Design unit is the minimum designing part to finish the design process of product parts and ABSTRACT: Current case representation methods are inappropriate to support case retrieval and case-based reasoning  ...  The modeling and representation of product design case is the foundation to reuse design cases. Ramon (2005) elaborated and completely describe the case-based reasoning method.  ... 
doi:10.12783/dtmse/smne2016/10580 fatcat:wzi7mlbuxnhx7ck4k2tst67yiq

Defaults and relevance in model-based reasoning

Roni Khardon, Dan Roth
1997 Artificial Intelligence  
Reasoning with model-based representations is an intuitive paradigm, which has been shown to be theoretically sound and to possess some computational advantages over reasoning with formula-based representations  ...  In particular, model-based representations are shown to efficiently support reasoning in the presence of varying context information, handle efficiently fragments of Reiter's default logic and provide  ...  In particular, in these cases, model-based representations capture all possible contexts in an accessible form.  ... 
doi:10.1016/s0004-3702(97)00044-1 fatcat:p6tj2gydhjgxlkor4wxvx23zge

Textual case-based reasoning

2005 Knowledge engineering review (Print)  
This commentary provides a definition of textual case-based reasoning (TCBR) and surveys research contributions according to four research questions.  ...  What is textual case-based reasoning?  ...  Textual case-based reasoning (TCBR) is a subfield of CBR concerned with research and implementation on case-based reasoners where some or all of the knowledge sources are available in textual format.  ... 
doi:10.1017/s0269888906000713 fatcat:ylclz6sbd5fdrp6zoo6adwkdpi

Decision-making support based on the combination of CBR and logic reasoning

Huizhang Shen, Jidi Zhao
2010 International Conference on Information Systems for Crisis Response and Management  
This paper first proposes a new emergency decision model based on the combination of a new case retrieval algorithm for Case-Based Reasoning (CBR) and logic reasoning, and then address a sample flood disaster  ...  emergency decision process to explain the application of the model in practice.  ...  An exemplified case based on the above case representation structure can be found in (Zhao and Shen, 2009) and is omitted here due to space limitation.  ... 
dblp:conf/iscram/ShenZ10 fatcat:ezgxr3ypprde7ognqc45i2pur4
« Previous Showing results 1 — 15 out of 2,526,178 results