Results 91 to 100 of about 592,124 (303)
Text Classification in Information Retrieval using Winnow [PDF]
Text classification in Information Retrieval can be done by using a linear classifier. Linear learning algorithms classify documents by learning a linear separator based on the document features.
P Mun, Winnow Text Classification
core
Automating Metadata Extraction: Genre Classification [PDF]
, 2006 A problem that frequently arises in the management and integration of scientific data is the lack of context and semantics that would link data encoded in disparate ways.
Kim, Dr Yunhyong, Ross, Seamus
core
A hierarchical multi-label classification ant colony algorithm for protein function prediction [PDF]
, 2010 This paper proposes a novel ant colony optimisation (ACO) algorithm tailored for the hierarchical multi-label classification problem of protein function prediction.
Otero, Fernando E.B. +5 more
core +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Purpose Air pollution has been linked to several neurological conditions, including stroke and neurodegenerative diseases. Evidence regarding its association with multiple sclerosis (MS) remains conflicting, limited by small sample sizes. Methods PubMed, Embase, Scopus, and Cochrane controlled register of trials (CENTRAL) were searched on ...
Ahmad A. Toubasi, Thuraya N. Al‐Sayegh
wiley +1 more source
Modelling uncertain decision boundary for text classification [PDF]
, 2016 Text classification is to classify documents into predefined categories by learned classifiers. Classic text classifiers cannot unambiguously describe decision boundary between relevant and irrelevant documents because of uncertainties caused by feature ...
Zhang, Libiao
core
Analyzing image-text relations for semantic media adaptation and personalization [PDF]
, 2007 Progress in semantic media adaptation and personalisation requires that we know more about how different media types, such as texts and images, work together in multimedia communication.
O'Connor, Noel E. +8 more
core +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective In multiple sclerosis, the optimal time for deploying a therapeutic intervention is before the central nervous system is damaged; given the success of trials treating the earliest stage of MS, the radiologically isolated syndrome, developing primary prevention strategies is an important next challenge.
Amy W. Laitinen +7 more
wiley +1 more source
Structure and access : the role of structural factors in text comprehension and information [PDF]
, 1985 In this thesis it is argued that structural factors play an important role in facilitating the access, comprehension, and recall of textual information, especially when the content of the material is unfamiliar to the reader.
O'Malley, C.E, O'Malley, Claire E.
core
Comparing Multi-Label Classification Methods for Provisional Biopharmaceutics Class Prediction. [PDF]
, 2014 The biopharmaceutical classification system (BCS) is now well established and utilized for the development and biowaivers of immediate oral dosage forms. The prediction of BCS class can be carried out using multilabel classification.
Taravat Ghafourian +8 more
core +1 more source
Posterior Cortical Atrophy in the Asia‐Pacific: A Report From the PCA Asian Workgroup
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Posterior Cortical Atrophy (PCA) is a distinct dementia syndrome primarily affecting spatial abilities and visual processing. It is associated with degeneration in the posterior part of the brain. PCA is subclassified into PCA‐pure and PCA‐plus syndromes based on consensus criteria.
Yuttachai Likitjaroen +11 more
wiley +1 more source