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Individual classifiers that are fully trained are unstable especially when the database conditions are changed.
This is mainly due to the difficulty inherent to the acoustic database conditions and the list of terms (containing foreign terms) employed in this evaluation.
This paper has investigated the use of supervector regression methods in automatic FVC systems, for the specific database conditions that are relevant to forensic case work applications.
In addition, the database conditions (spontaneous speech and challenging audio conditions) chosen for the experiments and the highly heterogeneous list of terms (single- and multi-word terms, in-vocabulary and out-of-vocabulary terms, and in-language and foreign terms) make the evaluation and the database attractive enough for future research.
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Given this database condition, there is an inherent difficulty for term detection.
In terms of the methodology of advanced time-dependent fracture mechanics, this paper developed an expert system to realize an appropriate combination of material database, condition database and knowledge database.
For each eligible study we entered the following information into an electronic database: condition(s), country or region, target population, type of treatment or intervention, and level of care.
99.9 % of database condition records and 89.7%% of database drug records were mapped (majority unmapped drugs were devices and over-the-counter products); 3.1 % of duration imputations were deemed possibly erroneous and prevalences for selected conditions and drugs across CPRD raw and CDM data were equivalent.
In many administrative health databases, conditions secondary to the principal reasons for admission to hospital are only coded if actively treated or investigated during the hospital stay [ 1].
247 microarray datasets (Affymetrix data) in the form of Robust Multi Array (RMA) normalized profiles were retrieved from the M3D database [26] (conditions are indicated in Table S3).
The National Human Genome Research Institute (NHGRI) maintains a Clinical Genomic Database [ 42], a manually curated database of conditions with known genetic causes [ 43].
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