Narration in judiciary fact-finding: a probabilistic explication

Reconciling Bayesian Epistemology and Narration-based Approaches to Judiciary Fact-finding

Legal probabilism (LP) claims the degrees of conviction in juridical fact-finding are to be modeled exactly the way degrees of beliefs are modeled in standard bayesian epistemology. Classical legal probabilism (CLP) adds that the conviction is justified if the credence in guilt given the evidence is above an appropriate guilt probability threshold. The views are challenged on various counts, es...

Reconciling Bayesian Epistemology and Narration-based Approaches to Judiciary Fact-finding

Legal probabilism (LP) claims the degrees of conviction in juridical fact-finding are to be modeled exactly the way degrees of beliefs are modeled in standard bayesian epistemology. Classical legal probabilism (CLP) adds that the conviction is justified if the credence in guilt given the evidence is above an appropriate guilt probability threshold. The views are challenged on various counts, es...

Judicial Fact-Finding at Sentencing

Web Usage Mining: A Fact Finding Approach in Web Mining

Web usage mining is a main research area in Web mining focused on learning about Web users and their interactions with Web sites. The motive of mining is to find users’ access models automatically and quickly from the vast Web log data, such as frequent access paths, frequent access page groups and user clustering. Through web usage mining, the server log, registration information and other rel...

Fact Finding in the English Court of Chancery: A Rebuttal