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K-Nearest Neighbour algorithm coupled with logistic regression in medical case-based reasoning systems. Application to prediction of access to the renal transplant waiting list in Brittany
Case-based Reasoning systems logistic models similarity measures k-nearest neighbors algorithms classi-fication
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2013/4/28
Introduction. Case Based Reasoning (CBR) is an emerg- ing decision making paradigm in medical research where new cases are solved relying on previously solved similar cases. Usually, a database of sol...
Counterfactual Reasoning and Learning Systems
Counterfactual Reasoning Learning Systems
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2012/11/23
This work shows how to leverage causal inference to understand the behavior of complex learning systems interacting with their environment and predict the consequences of changes to the system. Such p...
Reasoning about Interference Between Units
Causal effect Interference Randomized experiment Randomization inference Fisher’s Sharp Null Hypothesis SUTVA
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2012/9/17
If an experimental treatment is experienced by both treated and control group units, tests of hypotheses about causal effects may be difficult to conceptualize let alone execute. In this paper, we sho...
Analogical Reasoning: When a Non-Expert Reasons Like an Expert
Analogical Reasoning Non-Expert Reasons Expert
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2009/7/15
Current thinking suggests that fast, comprehensive decision-making is a characteristic of certain decision-makers. Expert models explain much of this behavior; however, they can not explain the succes...
Consistent reasoning about a continuum of hypotheses on the basis of finite evidence
Consistent reasoning continuum of hypotheses basis of finite evidence
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2010/4/29
In the modern Bayesian view classical probability theory is simply an extension of conventional
logic, i.e., a quantitative tool that allows for consistent reasoning in the presence of uncertainty.Cl...