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51 articles for “Probabilistic model”
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Research ArticleOpen accessIn the abstractClose Range Photogrammetry and Neural Network for Facial RecognitionRami Al-Ruzouq, Shatha KadhimRecently, there has been an increasing interest in utilizing imagery in different fields such as archaeology, architecture, mechanical inspection and biometric identifiers where face recognition considered as one of the most important physiological characteristics that is related to the shape and geometry of the faces and used for identification and verification of a person's identity. In this study, close range … …American Journal of Applied Sciences, Vol. 9, Issue 10 · 13 Aug 2012 · 7,323 accessesView PDFCite
Research ArticleOpen accessIn the abstractLatent Dirichlet Allocation Model for Raga Identification of Carnatic MusicRajeswari Sridhar, Manasa Subramanian, B. M. Lavanya et al.Problem statement: In this study the Raga of South Indian Carnatic music is determined by constructing a model. Raga is a pre-determined arrangement of notes, which is characterized by an Arohana and Avarohana, which is the ascending and descending arrangement of notes and Raga lakshana. Approach: In this study a Latent Dirichlet Allocation (LDA) model is constructed to identify the … …Journal of Computer Science, Vol. 7, Issue 11 · 30 Aug 2011 · 7,741 accessesView PDFCite
Research ArticleOpen accessIn the abstractImproving the Performance of Multivariate Bernoulli Model based Documents Clustering Algorithms using Transformation TechniquesPerumal Pitchandi, Nedunchezhian RajuProblem statement: Document clustering is the most important areas of data mining since they are very much and currently the subject of significant global research since such areas strengthen the enterprises of web intelligence, web mining, web search engine design and so forth. Generative models based on the multivariate Bernoulli and multinomial distributions have been widely used for text classification. … …Journal of Computer Science, Vol. 7, Issue 5 · 7 May 2011 · 7,284 accessesView PDFCite
Research ArticleOpen accessIn the abstractWeighted Kernel Density Estimation of the Prepulse Inhibition TestHongbo Zhou, Qiang Cheng, Hong-Ju Yang, Haiyun XuProblem statement: The goal of this study was to devise a more reliable and sensitive method for analysis of experimental data of the Prepulse Inhibition (PPI), the reduction in startle reaction towards a startle-eliciting “pulse” stimulus when it is shortly preceded by a sub-threshold “prepulse” stimulus. Approach: Different from the conventional simple averaging-based method, we proposed a probabilistic approach to … …Journal of Computer Science, Vol. 7, Issue 5 · 7 May 2011 · 7,225 accessesView PDFCite
Research ArticleOpen accessIn the abstractWhat Else do Epileptic Data RevealRamalingam ShanmugamProblem statement: Aggregating and analyzing data of all patients using statistical methodologies as often done in macro sense would be not useful when physician’s professional interest was only to provide the best medical care to the patient. For this purpose, individual data of the involved patient should be analyzed and modeled in a micro sense for the physician to notice … …Current Research in Medicine, Vol. 2, Issue 1 · 29 Mar 2011 · 7,303 accessesView PDFCite
Research ArticleOpen accessIn the abstractPeriodic Review Probabilistic Multi-Item Inventory System with Zero Lead Time under Constraint and Varying Holding CostNaglaa Hassan El-SodanyProblem statement: This study treats the probabilistic safety stock n-items inventory system having varying holding cost and zero lead-time subject to linear constraint. Approach: The expected total cost is composed of three components: the average purchase cost; the expected order cost and the expected holding cost. Results: The policy variables for this model are the number of periods N*r and … …Journal of Mathematics and Statistics, Vol. 7, Issue 1 · 29 Jan 2011 · 7,526 accessesView PDFCite
Research ArticleOpen accessIn the abstractIndoor Positioning System Using Artificial Neural NetworkHamid Mehmood, Nitin K. Tripathi, Taravudh TipdechoProblem statement: Location knowledge in indoor environment using Indoor Positioning Systems (IPS) has become very useful and popular in recent years. A number of Location Based Services (LBS) have been developed, which are based on IPS, these LBS include asset tracking, inventory management and security based applications. Many next-generation LBS applications such as social networking, local search, advertising and geo-tagging … …Journal of Computer Science, Vol. 6, Issue 10 · 30 Aug 2010 · 8,845 accessesView PDFCite
Research ArticleOpen accessIn the abstractModeling A Multi-Compartments Biological System with Membrane ComputingRavie Chandren Muniyandi, Abdullah Mohd. ZinProblem statement: Most of the biological systems have been hierarchical in structure with processes interacting between different compartments. Membrane computing formalism has provided modeling capabilities in representing the structure of biological systems. Approach: This study was carried to investigate the modeling of a multi-compartment biological system by using membrane computing formalism. The hormone-induced calcium oscillations in liver cells which was … …Journal of Computer Science, Vol. 6, Issue 10 · 10 Aug 2010 · 7,258 accessesView PDFCite
Research ArticleOpen accessIn the abstractGenetic Algorithm Based Probabilistic Motif Discovery in Unaligned Biological SequencesM. Hemalatha, K. VivekanandanFinding motif in biosequences is the most important primitive operation in computational biology. There are many computational requirements for a motif discovery algorithm such as computer memory space requirement and computational complexity. To overcome the complexity of motif discovery, we propose an alternative solution integrating genetic algorithm and Fuzzy Art machine learning approaches for eliminating multiple sequence alignment process. Problem … …Journal of Computer Science, Vol. 4, Issue 8 · 31 Aug 2008 · 6,730 accessesView PDFCite
Research ArticleOpen accessIn the abstractUsing Neutral Network in Predicting Corporate FailureHuong G. NguyenThis study investigates the predictive power of three neutral network models: Multi-layer neural network, probabilistic neural network, and logistic regression model in predicting corporate failure. Basing on the database provided by The Corporate Scorecard Group (CSG), we combine financial ratios which deem to be significant predictors of corporate bankruptcy in many previous empirical studies to build our predictive models and … …Journal of Social Sciences, Vol. 1, Issue 4 · 31 Dec 2005 · 7,327 accessesView PDFCite