Search Results - subject:"Unsupervised"

An efficient algorithm for maximal margin clustering

Peng, Jiming; Mukherjee, Lopamudra; Singh, Vikas; … - In: Journal of Global Optimization 52 (2012) 1, pp. 123-137

Persistent link: https://www.econbiz.de/10009399902

Developing an unsupervised classification algorithm for characterization of steel properties

Das, Prasun; Datta, Shubhabrata - In: International Journal of Quality & Reliability Management 29 (2012) 4, pp. 368-383

Purpose – The purpose of this paper is to develop an unsupervised classification algorithm including feature selection …/methodology/approach – Two novel unsupervised classification algorithms called Unsupervised Mahalanobis Distance Classifier (UNMDC) are developed …

Persistent link: https://www.econbiz.de/10014800692

A model to detect potentially fraudulent/abnormal wires of an insurance company : an unsupervised rule-based approach

Kim, Yongbum; Vasarhelyi, Miklos A. - In: Journal of emerging technologies in Accounting 9 (2012), pp. 95-110

Persistent link: https://www.econbiz.de/10009770859

Spectral Clustering and Kernel PCA are Learning Eigenfunctions

Bengio, Yoshua; Vincent, Pascal; Paiement, Jean-François - Centre Interuniversitaire de Recherche en Analyse des … - 2003

also suggests new approaches to unsupervised learning in which abstractions such as manifolds and clusters that represent …

Persistent link: https://www.econbiz.de/10005417565

Assessing Flood Induced Land-Cover Changes Using Remote Sensing and Fuzzy Approach in Eastern Gujarat (India)

Sharma, Chandra; Behera, Mukund; Mishra, Atmaram; … - In: Water Resources Management 25 (2011) 13, pp. 3219-3246

-flooding periods were used as sources of information for the study area. Three classification approaches (unsupervised ISODATA … for dealing with mapping of flood induced land-cover. Unsupervised classification results for the period October 2004 to …

Persistent link: https://www.econbiz.de/10010794609

SNIPPET-BASED UNSUPERVISED APPROACH FOR SENTIMENT CLASSIFICATION OF CHINESE ONLINE REVIEWS

LI, YIJUN; YE, QIANG; ZHANG, ZIQIONG; WANG, TIENAN - In: International Journal of Information Technology & … 10 (2011) 06, pp. 1097-1110

, and having annotated corpora for every domain of interest is not always practical. This paper proposes an unsupervised …

Persistent link: https://www.econbiz.de/10009415356

Self-care among school-aged children of immigrants

Greene, Kaylin M.; Hynes, Kathryn; Doyle, Emily A. - In: Children and Youth Services Review 33 (2011) 5, pp. 783-789

The present study uses data from the National Household Education Surveys Program to examine the unsupervised time … not more likely to leave their children unsupervised than native-born parents, however the context surrounding self …

Persistent link: https://www.econbiz.de/10008866709

The Empirics of Financial Development and Economic Growth: Using Unsupervised Learning to Detect Multiple Steady States

Birchenhall, Chris; Bree, David S.; Lakha, Rahim - Society for Computational Economics - SCE - 2002

Persistent link: https://www.econbiz.de/10005132828

Sentiment analysis: A combined approach

Prabowo, Rudy; Thelwall, Mike - In: Journal of Informetrics 3 (2009) 2, pp. 143-157

Sentiment analysis is an important current research area. This paper combines rule-based classification, supervised learning and machine learning into a new combined method. This method is tested on movie reviews, product reviews and MySpace comments. The results show that a hybrid...

Persistent link: https://www.econbiz.de/10010795158

Bayesian Unsupervised Learning with Multiple Data Types

Agius, Phaedra; Ying, Yiming; Campbell, Colin - In: Statistical Applications in Genetics and Molecular Biology 8 (2009) 1, pp. 27-27

We propose Bayesian generative models for unsupervised learning with two types of data and an assumed dependency of one …

Persistent link: https://www.econbiz.de/10005046605