Perplexed Bayes Classifier
Code (0)
등록된 구현이 없습니다.
Similar Papers 제목 키워드 기반
Large Language Models are Perplexed by some Political Parties
Large Language Models (LLMs) are increasingly used, including in political applications, but their political fairness has been little studied. We assess it using perplexity, posing that a fair model should give equal pro…
Using machine learning to inform harvest control rule design in complex fishery settings
In fishery science, harvest management of size-structured stochastic populations is a long-standing and difficult problem. Rectilinear precautionary policies based on biomass and harvesting reference points have now beco…
Bayesian OptimizationManagementReinforcement Learning (RL)What Makes My Model Perplexed? A Linguistic Investigation on Neural Language Models Perplexity
This paper presents an investigation aimed at studying how the linguistic structure of a sentence affects the perplexity of two of the most popular Neural Language Models (NLMs), BERT and GPT-2. We first compare the sent…
SentenceA Notion of Uniqueness for the Adversarial Bayes Classifier
We propose a new notion of uniqueness for the adversarial Bayes classifier in the setting of binary classification. Analyzing this concept produces a simple procedure for computing all adversarial Bayes classifiers for a…
Binary ClassificationContext-Specific Refinements of Bayesian Network Classifiers
Supervised classification is one of the most ubiquitous tasks in machine learning. Generative classifiers based on Bayesian networks are often used because of their interpretability and competitive accuracy. The widely u…