نتایج جستجو برای: classifier combination

تعداد نتایج: 419428  

2008
Hamid Parvin Hosein Alizadeh Mahmood Fathy Behrouz Minaei-Bidgoli

In this paper, we improve an object detection approach using spatial histogram features, by applying classifier ensemble. The spatial histogram features can preserve texture and shape information of an object, simultaneously. We train a hierarchical classifier by combining cascade histogram matching and the combination of Multi Layer Perceptrons. The cascade histogram matching is trained via au...

2003
Ludmila I. Kuncheva

Boosting is recognized as one of the most successful techniques for generating classifier ensembles. Typically, the classifier outputs are combined by the weighted majority vote. The purpose of this study is to demonstrate the advantages of some fuzzy combination methods for ensembles of classifiers designed by Boosting. We ran 2-fold cross-validation experiments on 6 benchmark data sets to com...

2011
Edwin Simpson Stephen Roberts Ioannis Psorakis Chris Lintott

Classifier combination methods need to make best use of the outputs of multiple, imperfect classifiers to enable higher accuracy classifications. In many situations, such as when human decisions need to be combined, the base decisions can vary enormously in reliability. A Bayesian approach to such uncertain combination allows us to infer the differences in performance between individuals and to...

Journal: :Acta Cybern. 2009
Csaba Fozo Csaba Gáspár-Papanek

There are two different stages to consider when constructing multiple classifier systems: The Meta-Classifier Stage that is responsible for the combination logic and basically treats the ensemble members as black boxes, and the Classifier Stage where the functionality of members is in focus. Furthermore, on the upper stage also called voting strategy stage the method of combining members can be...

Journal: :Pattern Recognition 2001
Giorgio Giacinto Fabio Roli

Multiple classifier systems (MCSs) based on the combination of a set of different classifiers are currently used to achieve high pattern-recognition performances [1]. For each pattern, the classification process is performed in parallel by different classifiers and the results are then combined according to some decision “fusion” method (e.g., the majority-voting rule) [1]. The majority of such...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه مازندران 1388

target tracking is the tracking of an object in an image sequence. target tracking in image sequence consists of two different parts: 1- moving target detection 2- tracking of moving target. in some of the tracking algorithms these two parts are combined as a single algorithm. the main goal in this thesis is to provide a new framework for effective tracking of different kinds of moving target...

The extended classifier systems (XCS) by producing a set of rules is (classifier) trying to solve learning problems as online. XCS is a rather complex combination of genetic algorithm and reinforcement learning that using genetic algorithm tries to discover the encouraging rules and value them by reinforcement learning. Among the important factors in the performance of XCS is the possibility to...

ژورنال: :مجله انفورماتیک سلامت و زیست پزشکی 0
فائزه افضلی faezeh afzali زهره حیدری zohreh heidari میترا منتظری mitra montazeri لیلا احمدیان leila ahmadian ph.d. in medical informatics, associate professor, medical informatics research center, institute for futures studies in health, kerman university of medical sciences, kerman, iran.دکترای تخصصی انفورماتیک پزشکی، دانشیار، مرکز تحقیقات انفورماتیک پزشکی، پژوهشکده آینده پژوهی در سلامت، دانشگاه علوم پزشکی کرمان، کرمان، ایران. محمد جواد زاهدی mohammad javad zahedi

مقدمه: سرطان اولیه کبد hcc)) پنجمین سرطان شایع در دنیا و سومین عامل مرگ و میر در جهان می­باشد. علائم سرطان کبد پس از بروز به سرعت پیشرفت کرده و در صورت عدم تشخیص به موقع متأسفانه بقای عمر بیمار بسیار کم می­ گردد. یکی از مشکلات اصلی پیش روی متخصصین گوارش، پیش بینی و تشخیص زود هنگام سرطان کبد است. داده کاوی از روش­هایی است که در این زمینه  مورد استفاده واقع می­ گردد. هدف از انجام این مطالعه معرفی...

2001
Arunas Lipnickas

In this paper we studied two different classifiers fusion algorithms exploiting the combination weights expressed over the entire data space and the combination with data dependent weights. The following aggregation schemes are employed in the study: the majority vote, the averaging, the combination via Choquet integral with the − λ fuzzy measure, the combination via space partitioning and clas...

Journal: :Cancer research 2013
Ichiro Akagi Hirokazu Okayama Aaron J Schetter Ana I Robles Takashi Kohno Elise D Bowman Dickran Kazandjian Judith A Welsh Naohide Oue Motonobu Saito Masao Miyashita Eiji Uchida Toshihiro Takizawa Seiichi Takenoshita Vidar Skaug Steen Mollerup Aage Haugen Jun Yokota Curtis C Harris

Prognostic tests for patients with early-stage lung cancer may provide needed guidance on postoperative surveillance and therapeutic decisions. We used a novel strategy to develop and validate a prognostic classifier for early-stage lung cancer. Specifically, we focused on 42 genes with roles in lung cancer or cancer prognosis. Expression of these biologically relevant genes and their associati...

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