نتایج جستجو برای: problematic features
تعداد نتایج: 552950 فیلتر نتایج به سال:
Introduction: Spondylitis is a serious disease caused by a variety of pathogens. The identification of spondylitis etiologies is a very important medical issue. This study was conducted to compare clinical, laboratory and radiological features of the patients with tuberculous (TS), brucellar (BS) and pyogenic spondylitis (PS) in a central city of Iran. Methods: In this retrospective study, we o...
Approved for public release; distribution is unlimited. Approved for public release; distribution is unlimited.
State-of-the-art statistical approaches to the Coreference Resolution task rely on sophisticated modeling, but very few (10-20) simple features. In this paper we propose to extend the standard feature set substantially, incorporating more linguistic knowledge. To investigate the usability of linguistically motivated features, we evaluate our system for a variety of machine learners on the stand...
Em 2005, a Organização Mundial de Saúde revisou e atualizou a classificação dos tumores odontogênicos, e algumas terminologias foram modificadas. Devido à sua natureza neoplásica, o ceratocisto odontogênico, anteriormente classificado como um cisto, teve seu nome alterado para tumor odontogênico ceratocístico (TOC). A prevalência de TOC no seio maxilar é de apenas 1%.1 O TOC possui taxa elevada...
Background and Objectives: The Problematic Internet Use Questionnaire (PIUQ) is a scale for evaluating the adverse effects of high Internet usage. It was adopted into Persian in a previous study. The factorial structure of the adopted version was different from the original English version. The purpose of this study was to determine the factorial structure of the Persian version of the Problema...
CLaC-CORE, an exhaustive feature combination system ranked 4th among 34 teams in the Semantic Textual Similarity shared task STS 2013. Using a core set of 11 lexical features of the most basic kind, it uses a support vector regressor which uses a combination of these lexical features to train a model for predicting similarity between sentences in a two phase method, which in turn uses all combi...
This year, we participated in TRECVID 2010 content-based copy detection task. In this notebook paper we will describe our work in details. Different from last year when we just used SURF (speeded up robust feature) as visual feature, this year we employed a combination of four different features for our rough detection process: global SURF, center SURR, global color correlogram and center corre...
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