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A Case-Based Reasoning Model Powered by Deep Learning for Radiology Report Recommendation
Case-Based Reasoning models are one of the most used reasoning paradigms in expert-knowledge-driven areas. One of the most prominent fields of use of these systems is the medical sector, where explainable models are required. ...
A hybrid case adaptation approach for case-based reasoning
(SPRINGER, 2008)
Case-Based Reasoning is a methodology for problem solving based on past experiences. This methodology tries to solve a new problem by retrieving and adapting previously known solutions of similar problems. However, retrieved ...
Qualitative case-based reasoning and learning
(2020-03-20)
The development of autonomous agents that perform tasks with the same dexterity as
performed by humans is one of the challenges of artificial intelligence and robotics.
This motivates the research on intelligent agents, ...
Clinical Reasoning Training based on the analysis of clinical case using a virtual environment.
(2020-08-20)
Introduction: Students experience difficulties defining a sequential order and analyzing variables when solving a clinical problem on real-time. Learning in a virtual environment using PBL and e-learning promotes ...
DECAF: Deep Case-based Policy Inference for Knowledge Transfer in Reinforcement Learning
(2020-10-15)
Having the ability to solve increasingly complex problems using Reinforcement Learning (RL) has prompted researchers to start developing a greater interest in systematic approaches to retain and reuse knowledge over a ...
Heuristically Accelerated Reinforcement Learning by Means of Case-Based Reasoning and Transfer Learning
(2018)
© 2017, Springer Science+Business Media B.V.Reinforcement Learning (RL) is a well-known technique for learning the solutions of control problems from the interactions of an agent in its domain. However, RL is known to be ...
Heuristically Accelerated Reinforcement Learning by Means of Case-Based Reasoning and Transfer Learning
(2018)
© 2017, Springer Science+Business Media B.V.Reinforcement Learning (RL) is a well-known technique for learning the solutions of control problems from the interactions of an agent in its domain. However, RL is known to be ...
A Case-based Reasoning Approach to Validate Grammatical Gender and Number Agreement in Spanish language
Across Latin America 420 indigenous languages are spoken. Spanish is considered a second language in indigenous communities and is progressively introduced in education. However, most of the tools to support teaching ...