Results 41 to 50 of about 8,969 (257)
ABSTRACT Background Osteosarcoma (OS) and Ewing sarcoma (EWS) are the most common primary bone cancers in children, but acute thrombosis is poorly characterized in this population. Our study evaluated the rates of venous thromboembolism (VTE) and associated risk factors in pediatric patients with bone sarcomas treated over a 10‐year period encompassing
Sarah Kappa +8 more
wiley +1 more source
In the present study, a high-order high-resolution energy stable weighted essentially non-oscillatory plus (ESWENO-P) scheme was developed by improving the weighting function in the energy stable weighted essentially non-oscillatory (ESWENO) scheme ...
S. H. Park, O. J. Kwon, S. Lee
doaj +1 more source
Empirical term weighting and expansion frequency [PDF]
We propose an empirical method for estimating term weights directly from relevance judgments, avoiding various standard but potentially trouble-some assumptions. It is common to assume, for example, that weights vary with term frequency (tf) and inverse document frequency (idf) in a particular way, e.g., tf .idf, but the fact that there are so many ...
Kyoji Umemura, Kenneth Ward Church
openaire +1 more source
The Role of Hematopoietic Cell Transplantation in Ataxia‐Telangiectasia
ABSTRACT Background Ataxia‐telangiectasia (A‐T) is a DNA repair disorder characterized by neurodegeneration, immunodeficiency, and cancer predisposition. Hematopoietic cell transplantation (HCT) is an established therapy in related disorders such as Fanconi anemia (FA) and Nijmegen breakage syndrome (NBS), but its role in A‐T is unclear.
Laila Alkhouli +3 more
wiley +1 more source
Adaptable Term Weighting Framework for Text Classification
In text classification, term frequency and term co-occurrence factors are dominantly used in weighting term features. Category relevance factors have recently been used to propose term weighting approaches.
Sharma, Dharmendra; id_orcid +7 more
core +1 more source
Term Weighting Schemes for Slovak Text Document Clustering [PDF]
Text representation is the task of transforming the textual data into a multidimensional space with corresponding weights for every word. Wehave tested several widely used term weighting methods on manually created database from Slovak Wikipedia articles.
ZLACKÝ Daniel +3 more
doaj
Discriminative Feature Spamming Technique for Roman Urdu Sentiment Analysis
Term weighting is one of the most commonly used approaches, which works by assigning weights to terms, that aims to improve the performance of information retrieval or text categorization tasks. In this paper, we present a novel term weighting technique,
Khawar Mehmood +3 more
doaj +1 more source
ABSTRACT Background Neuromyelitis optica spectrum disorder (NMOSD) is a relapsing autoimmune disease of the central nervous system. High‐dose intravenous methylprednisolone (IVMP) is the standard first‐line therapy for acute attacks, although some patients remain refractory.
Wataru Horiguchi +5 more
wiley +1 more source
A novel term weighting scheme for text classification: TF-MONO
The effective representation of the relationship between the documents and their contents is crucial to increase classification performance of text documents in the text classification.
Uysal, Alper Kursat, Dogan, Turgut
core +1 more source
Metode Pembobotan Berbasis Topik dan Kelas untuk Berita Online Berbahasa Indonesia
Clustering of news documents manually depends on the ability and accuracy of the human so that it can lead to errors in the grouping process of documents. Therefore, it is necessary to group the news document automatically.
Maryamah Maryamah +4 more
doaj +1 more source

