[HTML][HTML] Explaining deep neural networks: A survey on the global interpretation methods
A substantial amount of research has been carried out in Explainable Artificial Intelligence
(XAI) models, especially in those which explain the deep architectures of neural networks. A …
(XAI) models, especially in those which explain the deep architectures of neural networks. A …
Fifty years of classification and regression trees
WY Loh - International Statistical Review, 2014 - Wiley Online Library
Fifty years have passed since the publication of the first regression tree algorithm. New
techniques have added capabilities that far surpass those of the early methods. Modern …
techniques have added capabilities that far surpass those of the early methods. Modern …
From neural responses to population behavior: neural focus group predicts population-level media effects
EB Falk, ET Berkman… - Psychological …, 2012 - journals.sagepub.com
Can neural responses of a small group of individuals predict the behavior of large-scale
populations? In this investigation, brain activations were recorded while smokers viewed …
populations? In this investigation, brain activations were recorded while smokers viewed …
Global explanations of neural networks: Mapping the landscape of predictions
A barrier to the wider adoption of neural networks is their lack of interpretability. While local
explanation methods exist for one prediction, most global attributions still reduce neural …
explanation methods exist for one prediction, most global attributions still reduce neural …
[图书][B] Statistical methods for ranking data
M Alvo, LH Philip - 2014 - Springer
This book grew out of a desire on the part of both authors to formally record in one volume
some of their research on ranking methods. My own interest was sparked by a problem …
some of their research on ranking methods. My own interest was sparked by a problem …
[图书][B] Handbook of mixed membership models and their applications
This volume is, in a sense, the culmination of over 20 years of statistical work and over 15
years of personal interactions. One of us, Fienberg, was exposed to the ideas of the Grade of …
years of personal interactions. One of us, Fienberg, was exposed to the ideas of the Grade of …
Stakeholders perceptions to sustainable urban freight policies in emerging markets
The aim of this paper is to analyze the perceptions of key stakeholders to a set of policies
designed to address urban logistics issues in two cities in Colombia. A ranking survey was …
designed to address urban logistics issues in two cities in Colombia. A ranking survey was …
Comparing boosting and bagging for decision trees of rankings
Decision tree learning is among the most popular and most traditional families of machine
learning algorithms. While these techniques excel in being quite intuitive and interpretable …
learning algorithms. While these techniques excel in being quite intuitive and interpretable …
A recursive partitioning method for the prediction of preference rankings based upon Kemeny distances
A D'Ambrosio, WJ Heiser - Psychometrika, 2016 - Springer
Preference rankings usually depend on the characteristics of both the individuals judging a
set of objects and the objects being judged. This topic has been handled in the literature …
set of objects and the objects being judged. This topic has been handled in the literature …
Mixtures of weighted distance-based models for ranking data with applications in political studies
Analysis of ranking data is often required in various fields of study, for example politics,
market research and psychology. Over the years, many statistical models for ranking data …
market research and psychology. Over the years, many statistical models for ranking data …