نتایج جستجو برای: numerical taxonomy model

تعداد نتایج: 2354928  

2002
Leif B. Methlie Per E. Pedersen

We propose a taxonomy for understanding the structural conditions under which intermediaries in online markets choose their strategies, roles and functions. The fundamental concept behind these choices is integration – vertically and horizontally. Integration is a complex, multidimensional concept influencing the choice of strategy, governance form and business model. We propose a taxonomy iden...

Journal: :mathematics interdisciplinary research 0
akbar mohebbi university of kashan zahra faraz university of kashan

in this paper we investigate a nonlinear evolution model described by the rosenau-kdv equation. we propose a three-level average implicit finite difference scheme for its numerical solutions and prove that this scheme is stable and convergent in the order of o(τ2 + h2). furthermore we show the existence and uniqueness of numerical solutions. comparing the numerical results with other methods in...

2006
Francisco Pazos Alicia E. Toranzo

This work reports on the phenotypic and serological characterization of Vibrio anguillarum related (VAR) organisms isolated from diseased fish, shellfish, and from the environment in different geographical areas. Reference strains of V. a n g u ~ l l a r u m (serotypes 0 1 to 010) and V splendidus (biotype I ) were lncluded for comparison. On the basis of numerical taxonomy analysis the stralns...

2012
Matic Perovšek Nada Lavrač Bojan Cestnik

This paper presents a browser-based semi-automatic taxonomy construction tool Vd-chuck which is able to incorporate text and data mining algorithms into a userfriendly interface. The presented system is browserbased. Its unsupervised learning for concept suggestion and different visualization techniques assist the user with textual and numerical data analysis. We tested the Vdchuck system on a ...

2005
Dae-Ki Kang Jun Zhang Adrian Silvescu Vasant Honavar

In many machine learning applications that deal with sequences, there is a need for learning algorithms that can effectively utilize the hierarchical grouping of words. We introduce Word Taxonomy guided Naive Bayes Learner for the Multinomial Event Model (WTNBL-MN) that exploits word taxonomy to generate compact classifiers, and Word Taxonomy Learner (WTL) for automated construction of word tax...

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