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Feature selection with conditional mutual information maximin in text categorization

Gang Wang, Frederick H. Lochovsky
2004 Proceedings of the Thirteenth ACM conference on Information and knowledge management - CIKM '04  
In this paper, we propose a novel feature selection method for text categorization called conditional mutual information maximin (CMIM).  ...  Several feature selection methods, such as information gain and mutual information, have been widely used.  ...  As shown in [24] , mutual information is not a good choice for feature selection in text categorization. Therefore we will compare CMIM with information gain in our experiment.  ... 
doi:10.1145/1031171.1031241 dblp:conf/cikm/WangL04 fatcat:7bja2vq66rclhl3d2dkskzpxhi

C-MI-GAN : Estimation of Conditional Mutual Information using MinMax formulation [article]

Arnab Kumar Mondal, Arnab Bhattacharya, Sudipto Mukherjee, Prathosh AP, Sreeram Kannan, Himanshu Asnani
2020 arXiv   pre-print
Estimation of information theoretic quantities such as mutual information and its conditional variant has drawn interest in recent times owing to their multifaceted applications.  ...  In this work, we focus on conditional mutual information (CMI) estimation by utilizing its formulation as a minmax optimization problem.  ...  Any opinions, findings, conclusions or recommendations expressed in this paper are those of the authors and do not necessarily reflect the views or official policies, either expressed or implied, of the  ... 
arXiv:2005.08226v2 fatcat:ltnohqneoffy5kxd56dwzcvguu

Data Augmentation and Feature Selection for Automatic Model Recommendation in Computational Physics

Thomas Daniel, Fabien Casenave, Nissrine Akkari, David Ryckelynck
2021 Mathematical and Computational Applications  
This article introduces two algorithms to address these issues: one for dimensionality reduction via feature selection, and one for data augmentation.  ...  Classification algorithms have recently found applications in computational physics for the selection of numerical methods or models adapted to the environment and the state of the physical system.  ...  Sébastien Da Veiga (SafranTech) for his sound advice, as well as Felipe Bordeu (SafranTech) and Julien Cortial (SafranTech) who implemented the Python library BasicTools (https://gitlab.com/drti/basic-tools) with  ... 
doi:10.3390/mca26010017 fatcat:vxbz2gqwtzh3zhkzimzt5c4wti

THE HARSANYI-RAWLS DEBATE: POLITICAL PHILOSOPHY AS DECISION THEORY UNDER UNCERTAINTY

RAMIRO ÁVILA PERES
2021 Manuscrito  
In the first section, we argue that the core of this problem lies in decision theory itself -it is about how to act when we do not have an adequate representation of the context of the action and of its  ...  Thus, we distinguish two criteria to complement decision theory under ignorance -Laplace's principle of insufficient reason and Wald's maximin criterion.  ...  Also, this points to a feature associated with the "decision discomfort" we often associate with uncertain situationsthat they are uncertain because of our limits, because of our lack of information; maybe  ... 
doi:10.1590/0100-6045.2021.v44n2.rp fatcat:34gngqaj25hwjlefpudxjd3yre

Perfect Prediction in Normal Form: Superrational Thinking Extended to Non-Symmetric Games [article]

Ghislain Fourny
2019 arXiv   pre-print
This paper introduces a new solution concept for non-cooperative games in normal form with no ties and pure strategies: the Perfectly Transparent Equilibrium.  ...  Finally, we specifically discuss inclusion relationships on the special case of symmetric games and contrast them with asymmetric games.  ...  with probabilities of subjunctive conditionals.  ... 
arXiv:1712.05723v3 fatcat:6vvot6pbhjcorawv2uo5vmps3m

A Survey on the Fairness of Recommender Systems [article]

Yifan Wang, Weizhi Ma, Min Zhang, Yiqun Liu, Shaoping Ma
2022 arXiv   pre-print
Recommender systems are an essential tool to relieve the information overload challenge and play an important role in people's daily lives.  ...  Then, we review recommendation datasets and measurements in fairness studies and provide an elaborate taxonomy of fairness methods in the recommendation.  ...  If not, select the item with the highest relevance in the protected queue; otherwise, compare the two queues and select the item with the highest relevance. Based on FA*IR, Geyik et al.  ... 
arXiv:2206.03761v2 fatcat:o2xnm4o6qrfglbmlt3mdxq5d6u

How Generative Adversarial Networks and Their Variants Work

Yongjun Hong, Uiwon Hwang, Jaeyoon Yoo, Sungroh Yoon
2019 ACM Computing Surveys  
In this paper, we aim to discuss the details of GAN for those readers who are familiar with, but do not comprehend GAN deeply or who wish to view GAN from various perspectives.  ...  We then focus on how the GAN can be combined with an autoencoder framework.  ...  The generators of each stage are trained adversarially given text embedding information ϕ t from the text t.  ... 
doi:10.1145/3301282 fatcat:z2xe6jdh5nd2dmovkes3rav3ke

Analysing Practical Argumentation [chapter]

Georg Brun, Gregor Betz
2016 Logic, Argumentation & Reasoning  
a controversy, and which standpoints one can reasonably adopt in view of a given state of debate.  ...  This chapter first gives an overview of the activities involved in argument analysis and discusses the various aims that guide argument analysis.  ...  "Accuracy" means that a reconstruction must be defensible with respect to the argumentative text, in particular its actual wording and the available information about its context.  ... 
doi:10.1007/978-3-319-30549-3_3 fatcat:a52xux544ffnlmjsgmitniyqiq

Rawls with Hegel: The concept of 'Liberalism of freedom'

Ragip Ege, Herrade Igersheim
2008 European Journal of the History of Economic Thought  
Moreover, parties are equal, free and rational: "one feature of justice as fairness is to think of the parties in the initial situation as rational and mutually disinterested.  ...  In these conditions, the difference principle is similar to maximin. Consequently, considering principles of justice as categorical imperatives is irrelevant: they are only hypothetical imperatives.  ... 
doi:10.1080/09672560701858640 fatcat:warjjz3ggnhq3divcxnkfyzao4

Task-specific Inconsistency Alignment for Domain Adaptive Object Detection [article]

Liang Zhao, Limin Wang
2022 arXiv   pre-print
in coping with both classification and localization subtasks in object detection.  ...  Detectors trained with massive labeled data often exhibit dramatic performance degradation in some particular scenarios with data distribution gap.  ...  In line with [4] , we categorize the detections into 3 types: Correct (IoU with GT ≥ 0.5), MisLocalization (0.5 >IoU with GT ≥ 0.3) and Background (IoU with GT <0.3).  ... 
arXiv:2203.15345v1 fatcat:nznl32vyozhcdhpkr7in6idpk4

Filtering medical documents using automated and human classification methods

J. Mostafa, L. M. Quiroga, M. Palakal
1998 Journal of the American Society for Information Science  
The goal of this research is to clarify the role of document classification in information filtering.  ...  The filtering results showed that with increasing homogeneity, filtering performance improves, and, conversely, with decreasing homogeneity, filtering performance degrades.  ...  Her background in cell biology was invaluable in expanding our understanding of the domain and in refining the data analysis.  ... 
doi:10.1002/(sici)1097-4571(1998)49:14<1304::aid-asi8>3.3.co;2-5 fatcat:oryuvtnwebhd5luncuxqdnkb6m

Filtering medical documents using automated and human classification methods

J. Mostafa, L. M. Quiroga, M. Palakal
1998 Journal of the American Society for Information Science  
The goal of this research is to clarify the role of document classification in information filtering.  ...  The filtering results showed that with increasing homogeneity, filtering performance improves, and, conversely, with decreasing homogeneity, filtering performance degrades.  ...  Her background in cell biology was invaluable in expanding our understanding of the domain and in refining the data analysis.  ... 
doi:10.1002/(sici)1097-4571(1998)49:14<1304::aid-asi8>3.0.co;2-e fatcat:vjahzfq7ljhp5cqjhb4wxu53mu

Understanding the Dynamics of Drivers' Locations for Passengers Pickup Performance: A Case Study [article]

Punit Rathore, Ali Zonoozi, Omid Geramifard, Tan Kian Lee
2020 arXiv   pre-print
With the emergence of e-hailing taxi services, a growing number of scholars have attempted to analyze the taxi trips data to gain insights from drivers' and passengers' flow patterns and understand different  ...  In this paper, we analyze drivers' and passengers' locations at the time of booking request in the context of drivers' pick-up performances.  ...  In this regard, we utilize minimum redundancy maximum relevance (mRmR) algorithm that uses mutual information criteria between different features and response variable.  ... 
arXiv:2009.04108v1 fatcat:foplcbatyjbbzlgyb22shva2im

Modelling the dynamic pattern of surface area in basketball and its effects on team performance

Rodolfo Metulini, Marica Manisera, Paola Zuccolotto
2018 Journal of Quantitative Analysis in Sports (JQAS)  
and analysis of a game with respect to surface areas dynamics and (ii) to investigate its influence on the points made by both the team and the opponent.  ...  Because of the advent of GPS techniques, a wide range of scientific literature on Sport Science is nowadays devoted to the analysis of players' movement in relation to team performance in the context of  ...  We will discuss some logistic model-based active learning methods with variable selection features in addition to subject selection strategies.  ... 
doi:10.1515/jqas-2018-0041 fatcat:b3qwsi7tqjg2vdo7gbjtiorv6m

Financial Markets Uncertainty and the Rawlsian Argument for Central Counterparty Clearing of OTC Derivatives

Steven R. McNamara
2013 Social Science Research Network  
Central to Rawls's thought is the procedure of decision-making under conditions of fundamental uncertainty, or the maximin rule.  ...  I argue that application of the maximin rule is appropriate here, and that unlike the standard cost-benefit analysis grounded in utilitarianism, Rawls's views lead to a holistic understanding of the financial  ...  from this, because a dealer bank is likely to have better information, an "adverse selection" problem arises.  ... 
doi:10.2139/ssrn.2210965 fatcat:ppvdf6ha6jeuvluknrq6yh2dx4
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