Results 231 to 240 of about 47,649 (308)
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Elastoplastic framework of relationships between CBR and Young’s modulus for granular material

Road Materials and Pavement Design, 2018
Cristhian Mendoza, Bernardo Caicedo
exaly   +2 more sources

Predicting soaked CBR of SC subgrade from dry density for light and heavy compaction

, 2020
Laboratory California Bearing Ratio (CBR) test is an arduous and lengthy process to determine the CBR strength of the soil. CBR value of subgrade soil plays an important role in the design of flexible pavement.
S. Lakshmi, S. Geetha, M. Selvakumar
semanticscholar   +1 more source

How Case-Based Reasoning Explains Neural Networks: A Theoretical Analysis of XAI Using Post-Hoc Explanation-by-Example from a Survey of ANN-CBR Twin-Systems

International Conference on Case-Based Reasoning, 2019
This paper proposes a theoretical analysis of one approach to the eXplainable AI (XAI) problem, using post-hoc explanation-by-example, that relies on the twinning of artificial neural networks (ANNs) with case-based reasoning (CBR) systems; so-called ANN-
Mark T. Keane, Eoin M. Kenny
semanticscholar   +1 more source

CBR-RAG: Case-Based Reasoning for Retrieval Augmented Generation in LLMs for Legal Question Answering

International Conference on Case-Based Reasoning
Retrieval-Augmented Generation (RAG) enhances Large Language Model (LLM) output by providing prior knowledge as context to input. This is beneficial for knowledge-intensive and expert reliant tasks, including legal question-answering, which require ...
N. Wiratunga   +8 more
semanticscholar   +1 more source

The synergistic application of CBR to IR

Artificial Intelligence Review, 1996
In this paper we discuss a hybrid approach combining Case-Based Reasoning (CBR) and Information Retrieval (IR) for the retrieval of full-text documents. Our hybrid CBR-IR approach takes as input a standard symbolic representation of a problem case and retrieves texts of relevant cases from a document collection dramatically larger than the case base ...
Edwina L Rissland, Rissland Edwina L
exaly   +2 more sources

CBR in Medicine

1998
Medicine differs from other knowledge domains by the interaction of research and practice. The objects are the patients - very complex organisms with high biological variance and a lot of interactive vital processes. The knowledge of these processes and their interactions is often weak. It mostly depends on a high number of sometimes even contradicting
Lothar Gierl   +2 more
openaire   +1 more source

Application of genetic expression programming and artificial neural network for prediction of CBR

International Journal on Road Materials and Pavement Design, 2018
The CBR (California bearing ratio) value is an important parameter of the subgrade soil required for the design of pavements. The present study deals with the application of genetic expression programming (GEP) and artificial neural network (ANN) for the
A. Tenpe, Anjan Patel
semanticscholar   +1 more source

CBR Applied to Planning

1998
Planning means constructing a course of actions to achieve a specified set of goals, starting from an initial situation. For example, determining a sequence of actions (a plan) for transporting goods from an initial location to some destination is a typical planning problem in the transportation domain. Many planning problems are of practical interest.
Ralph Bergmann   +3 more
openaire   +1 more source

CBR for SmartHouse Technology

2004
SMART HOUSE technology offers devices that help the elderly and people with disabilities to live independently in their homes. This paper presents our experiences from a pilot project applying case-based reasoning techniques to match the needs of the elderly and those with disabilities to SMARTHOUSE technology.
Nirmalie Wiratunga   +3 more
openaire   +1 more source

Reexamination of CBR Hypothesis

2010
Most of the recent literature on complexity measures in textual case-based reasoning examined alignment between problem space and solution space, which used to be an issue of formulating CBR hypothesis. However, none of existing complexity measures could dispel the specter of predefined class label that does not appear in public textual datasets ...
Xifeng Zhou, Zelin Shi, Huaici Zhao
openaire   +1 more source

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