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New Discrimination Procedure of Location Model for Handling Large Categorical Variables

Hashibah Hamid, Mei Mei Long, Sharipah Soaad Syed Yahaya
2017 Sains Malaysiana  
The location model proposed in the past is a predictive discriminant rule that can classify new observations into one of two predefined groups based on mixtures of continuous and categorical variables.  ...  The ability of location model to discriminate new observation correctly is highly dependent on the number of multinomial cells created by the number of categorical variables.  ...  Therefore, this study attempts to propose a new discrimination procedure based on the cLM for large categorical variables.  ... 
doi:10.17576/jsm-2017-4606-20 fatcat:ahkk5z22evh4rbqdaevuyv42qi

A new specification of generalized linear models for categorical data [article]

Jean Peyhardi, Catherine Trottier, Yann Guédon
2014 arXiv   pre-print
The combination of the proposed specification with the definition of reference and reversible models and various invariance properties leads to a new view of regression models for categorical data.  ...  We introduce the notion of reversible models for ordinal data that distinguishes adjacent and cumulative models from sequential ones.  ...  Vehicle The purpose is to classify a given silhouette as one of four types of vehicle, using a set of features extracted from the silhouette.  ... 
arXiv:1404.7331v2 fatcat:jgmfjidymzbslpm7qvgeoysfum

New Feature Selection Method for Text Categorization

Xingfeng Wang, Hee-Cheol Kim
2017 Journal of information and communication convergence engineering  
the classification performance in terms of a widely known metric (F 1 ).  ...  For this purpose, a local feature selection method is used in the proposed method to label features according to their discriminative power on classes; these labels are used while producing the feature  ...  Another categorization of the characteristics of filter-based feature selection methods is whether they are one-sided or two-sided [17] .  ... 
doi:10.6109/jicce.2017.15.1.53 dblp:journals/jicce/WangK17 fatcat:ezaccmj3ejad5ottjhf4ztr22m

A New Feature Selection Method based on Intuitionistic Fuzzy Entropy to Categorize Text Documents

M. B. Revanasiddappa, B.S. Harish
2018 International Journal of Interactive Multimedia and Artificial Intelligence  
This article presents a new feature selection method based on Intuitionistic Fuzzy Entropy (IFE) for Text Categorization.  ...  Feature selection methods are generally partitioned into 3 groups: Abstract Selection of highly discriminative feature in text document plays a major challenging role in categorization.  ...  In this article, we developed a new Feature Selection method based on Intuitionistic Fuzzy Entropy (IFE).  ... 
doi:10.9781/ijimai.2018.04.002 fatcat:hij3j6qegbe4dnn5sidf4mjgaq

Web news categorization using a cross-media document graph

José Iria, Fabio Ciravegna, João Magalhães
2009 Proceeding of the ACM International Conference on Image and Video Retrieval - CIVR '09  
Moreover, we applied the framework to the tasks of categorising Web news feed data, and our results show a significant improvement over a single-medium based framework.  ...  In this paper we propose a multimedia categorization framework that is able to exploit information across different parts of a multimedia document (e.g., a Web page, a PDF, a Microsoft Office document)  ...  ACKNOWLEDGEMENTS This research was partially funded by the X-Media project (www.x-media-project.org) sponsored by the European Commission as part of the Information Society Technologies (ITS) programmer  ... 
doi:10.1145/1646396.1646431 dblp:conf/civr/IriaCM09 fatcat:2g6g6v7kdfbt7p5bewia55nosa

An intelligent news recommender agent for filtering and categorizing large volumes of text corpus

Jung-Hsien Chiang, Yan-Cheng Chen
2004 International Journal of Intelligent Systems  
The first is to describe the basic architecture of this approach, and the second is to show the design of the fuzzy hierarchical mixture of expert model for text categorization.  ...  This paper presents an intelligent news recommender agent, called INRA, which can be used to filter news articles, as well as to recommend relevant news for individual user automatically.  ...  Figure 1 Sample of a news story The recommender system described in this paper uses an automatic text categorization-based method for recommending news articles to the users.  ... 
doi:10.1002/int.10136 fatcat:27sevhzy6bg7lmx7ad4m7vu46m

Comparing rapid scene categorization of aerial and terrestrial views: A new perspective on scene gist

Lester C. Loschky, Ryan V. Ringer, Katrina Ellis, Bruce C. Hansen
2015 Journal of Vision  
In addition, computational modeling showed that training models on one view (aerial or terrestrial) led to poor performance on the other view, thereby providing further evidence of viewpoint dependence  ...  as a function of available information.  ...  Research in this article was previously presented at the 2010 Annual Meeting of the Vision Sciences Society, with the abstract published in the Journal of Vision.  ... 
doi:10.1167/15.6.11 pmid:26024458 fatcat:e54entfztvha5hw4iydpww5e7y

Different Machine Learning based Approaches of Baseline and Deep Learning Models for Bengali News Categorization

Mohammad Rabib, Soikot Sarkar, Moqsadur Rahman
2020 International Journal of Computer Applications  
After preprocessing the news text, different sorts of procedures to classify the news text using baseline and deep learning models of Machine Learning are applied.  ...  These put in the inspiration to do a research on this topic. So, here Bangla news which has been collected from newspapers and gathered around to make a Bengali Corpus.  ...  They applied the naive Bayes classifier for classification of Bangla news article contents based on the news code of IPTC.  ... 
doi:10.5120/ijca2020920107 fatcat:3i6j5p23yjft3jqqgo7pjpejl4

Classification algorithms for NETNEWS articles

Wen-Lin Hsu, Sheau-Dong Lang
1999 Proceedings of the eighth international conference on Information and knowledge management - CIKM '99  
After training, the incoming news articles are classified based on their similarity to the existing newsgroup categories.  ...  Our test collection consists of the real news articles and the 519 subnewsgroups under the REC newsgroup of NETNEWS in a period of 3 months.  ...  In this model, we first extract the distinct words from each article, discard the insignificant words based on a standard stop-list [4], and apply a standard stemming algorithm to transform the words to  ... 
doi:10.1145/319950.319965 dblp:conf/cikm/HsuL99 fatcat:fhfjvw5h45g55kyu2az4ikynti

Contextual advertising for web article printing

Shengwen Yang, Jianming Jin, Joshi Parag, Sam Liu
2010 Proceedings of the 10th ACM symposium on Document engineering - DocEng '10  
As most of the current online advertisement models are based on ad networks for ad insertion and distribution on web pages, we propose to develop a cloud-based printing service which enables the automatic  ...  This paper presents the result of using SVM classifiers for news article categorization for ad matching.  ... 
doi:10.1145/1860559.1860601 dblp:conf/doceng/YangJPL10 fatcat:qgghuemhyzgvpgqtr4plm7fp3m

Distinguish Confusing Law Articles for Legal Judgment Prediction [article]

Nuo Xu, Pinghui Wang, Long Chen, Li Pan, Xiaoyan Wang, Junzhou Zhao
2020 arXiv   pre-print
the learned differences to extract compelling discriminative features from fact descriptions attentively.  ...  In this paper, we present an end-to-end model, LADAN, to solve the task of LJP.  ...  Legal judgment prediction (LJP) aims to predict a case's judgment results, such as applicable law articles, charges, and terms of penalty, based on its fact description, as illustrated in Figure 1.  ... 
arXiv:2004.02557v3 fatcat:qdj56x73onafhggdcaqh6gqkaq

Minimally Supervised Relation Identification from Wikipedia Articles

Heung-Seon Oh, Yuchul Jung
2018 Journal of Information Science Theory and Practice  
We attempt to automatically detect and identify possible relations among the entities based on clustering without training data, as opposed to the relation extraction approach that focuses on improvement  ...  of accuracy in selecting one of the several target relations for a given pair of entities.  ...  Discriminative patterns for entity pairs are retained. Entity pairs are clustered based on the patterns with hierarchical clustering method.  ... 
doi:10.1633/jistap.2018.6.4.3 doaj:943be1988b5e4c4c90e8e3c883b82e88 fatcat:2au4377zwrdbblvqnwe6ot75ye

Content based Caption Generation for Images Embedded in News Articles

Amit KumarKohakade, Emmanuel M
2014 International Journal of Computer Applications  
Approach presented here focuses on important terms occurring in news like named entities, using term weighting find out weighted terms which helps in describing news.  ...  Some of experiments presented here shows performance of face recognition algorithms on standard datasets and also on own developed face dataset, also we train NER model on Indian names which gives better  ...  It would be a pleasure to thank Emmanuel M. for his valuable suggestion and direction contribution that helps us in many ways to complete this research.  ... 
doi:10.5120/17567-8231 fatcat:kib4kcrf2jckzfrn4s6u5wh6ym

Discourse Connective - A Marker for Identifying Featured Articles in Biological Wikipedia

Sindhuja Gopalan, Paolo Rosso, Sobha Lalitha Devi
2016 Research in Computing Science  
We compare this novel measure with two other popular approaches word count measure and explicit document model method that have been successfully applied to the task of quality measurement in Wikipedia  ...  Wikipedia is a free-content Internet encyclopedia that can be edited by anyone who accesses it. As a result, Wikipedia contains both featured and non-featured articles.  ...  [6] in their work demonstrated a simple statistical measure, factual density based on facts extracted from web content using open information extraction.  ... 
doi:10.13053/rcs-117-1-9 fatcat:oegnx3wlsnh47ajzzvycr5m644

Summaries of Key Journal Articles

Kim A. Eagle, Christopher P. Cannon, William F. Armstrong, David S. Bach, Ragavendra R. Baliga, Anna M. Booher, Timothy B. Cotts, Jennifer Cowger, Daniel T. Eitzman, James B. Froehlich, Caren S. Goldberg, Hitinder S. Gurm (+7 others)
2012 Journal of the American College of Cardiology  
6: When VT is not tolerated, a combination of scar and pace mapping can be used to identify ablation sites. 7: The rate of procedure-related death is reported to be 0-3%, with the most common cause of  ...  death being uncontrolled VT. 8: The most common complications are stroke, cardiac tamponade, valve injury, and atrioventricular block. 9: The rate of recurrent VT post-ablation is reported to be 25-50%  ...  Study Question: What is the long-term functional health status of adults with repaired tetralogy of Fallot? Methods: A single study of 840 patients was performed at a single center.  ... 
doi:10.1016/j.jacc.2012.04.001 fatcat:7rivxw3xnzh6vcnfc7o7v3n22q
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