Results 221 to 230 of about 8,969 (257)
Some of the next articles are maybe not open access.
Semantic term weighting for clinical texts
Expert Systems with Applications, 2018Abstract Term weighting is an essential step to process textual data and generate input data (vector) for machine learning algorithms. In order to appropriately represent documents into computable forms for a certain task (such as text classification, clustering, sentiment analysis, recommendation and information retrieval), semantic term weighting ...
Ryosuke Matsuo, Tu Bao Ho
openaire +1 more source
Long-term prediction of birth weight
Journal of Ultrasound in Medicine, 1993On the basis of the hypothesis that undisturbed individual growth in fetal life keeps a constant proportional difference with the standard population 50th percentile, birth weight can be predicted with a single sonographic exploration after the 16th week of pregnancy. Data on 135 singleton pregnancies with accurate dates and delivery at term were used.
J J, Santonja-Lucas +2 more
openaire +2 more sources
A Term Weighting Approach for Text Categorization
2005It is common that representative words in a document are identified and discriminated by their statistical distribution of their frequency statistics. We assume that evaluating the confidence measure of terms through content-based document analysis leads to a better performance than the parametric assumptions of the standard frequency-based method.
Kyung-Chan Lee +2 more
openaire +1 more source
Experiments in term weighting for novelty mining
Expert Systems with Applications, 2011Abstract Obtaining new information in a short time is becoming crucial in today’s economy. A lot of information both offline or online is easily acquired, exacerbating the problem of information overload. Novelty mining detects documents/sentences that contain novel or new information and presents those results directly to users ( Tang, Tsai, & Chen,
Flora S. Tsai, Agus Trisnajaya Kwee
openaire +1 more source
Relation Based Term Weighting Regularization
2012Traditional retrieval models compute term weights based on only the information related to individual terms such as TF and IDF. However, query terms are related. Intuitively, these relations could provide useful information about the importance of a term in the context of other query terms.
Hao Wu 0036, Hui Fang 0001
openaire +1 more source
Long‐term weight loss and weight‐loss maintenance strategies
Obesity Reviews, 2008SummaryIt has been suggested that about 20% of subjects undergoing weight‐loss programmes can achieve a certain degree of long‐term success. At present, surgery remains the only method resulting in long‐term sustained weight loss, but access remains restricted. Hence it is important to analyse, in addition to pharmacotherapy, the methods to improve the
S, Rössner +4 more
openaire +2 more sources
Nonlinear transformation of term frequencies for term weighting in text categorization
Engineering Applications of Artificial Intelligence, 2012In automatic text categorization, the influence of features on the decision is set by the term weights which are conventionally computed as the product of term frequency and collection frequency factors. The raw form of term frequencies or their logarithmic forms are generally used as the term frequency factor whereas the leading collection frequency ...
Erenel, Zafer, Altincay, Hakan
openaire +2 more sources
Experiments in relevance weighting of search terms
Information Processing & Management, 1979Abstract Following successful initial tests of theoretically-based schemes for relevance weighting of search terms, further experiments were undertaken to validate these results. The experiments were designed to investigate weighting for a large document set, poor matching conditions, heterogeneous data, and limited relevance information, i.e.
openaire +1 more source
Term weighting for information retrieval based on term’s discrimination power
Multimedia Tools and Applications, 2013One of the most important research topics in Information Retrieval is term weighting for document ranking and retrieval, such as TFIDF, BM25, etc. We propose a term weighting method that utilizes past retrieval results consisting of the queries that contain a particular term, retrieval documents, and their relevance judgments.
Qing Li 0005 +5 more
openaire +1 more source
Global term weights in distributed environments
Information Processing & Management, 2008This paper examines the estimation of global term weights (such as IDF) in information retrieval scenarios where a global view on the collection is not available. In particular, the two options of either sampling documents or of using a reference corpus independent of the target retrieval collection are compared using standard IR test collections.
openaire +1 more source