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About 10,000 papers for “term selection”

1.1 Term Selection

S.E. Wright · John Benjamins Publishing Company eBooks · 1997

Cited by 32

Long term balancing selection.

Alan O. Bergland (148575), Emily L. Behrman (655428), Katherine R. O'Brien (655429) et al. · Figshare · 2015

<p>Enrichment (log<sub>2</sub> odds ratio) of seasonal SNPs among SNPs that polymorphic and identical by state among 6 lineages of <i>D. simulans</i> relative to control SNPs. Error bars represent 95% confidence intervals based on blocked bootstrap resampling.</p>

Cited by 0Open access

Linguistically motivated descriptive term selection

Karen Spärck Jones, John Tait · 1984

A linguistically motivated approach to indexing, that is the provision of descriptive terms for texts of any kind, is presented and illustrated. The approach is designed to achieve good, i.e. accurate and flexible, indexing by identifying index term sources in the meaning representations built by a powerful general purpose analyser, and providing a range of text expressions constituting semantic and syntactic variants for each term concept. Indexing is seen as a legitimate form of shallow text processing, but one requiring serious semantically based language processing, particularly to obtain well-founded complex terms, which is the main objective of the project described. The type of indexing strategy described is further seen as having utility in a range of applications environments.

Cited by 2Open access

Feature Selection and Term Weighting

Abdulmohsen Algarni, Nasser Tairan · 2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT) · 2014

Term-based approaches can extract many features in text documents, but most include noise. Many popular text-mining techniques have been adapted to reduce noisy information from extracted features but still contains some noises features. However, the noise features are extracted from the same training documents that good features extracted from. Therefore, the main problem is that some training documents contain large a mount of noises data. If we can reduce the noises data in the training documents that would help to reduce noises in extracted features. Moreover, we believe that remove some of training documents (documents that contains noises data more than useful data) can help to improve the effectiveness of the classifier. Using the advantages of clustering method can help to reduce the affect of noises data. The main problem of clustering is defined to be that of finding groups of similar projects in the data. In this paper we introduce the methodology that using clustering algorithm to group training data before use it. Also we tested our theory that not all training documents are useful to train the classifier.

Cited by 4

Linguistically motivated descriptive term selection

Karen Spärck Jones, John Tait · 1984

A linguistically motivated approach to indexing, that is the provision of descriptive terms for texts of any kind, is presented and illustrated. The approach is designed to achieve good, i.e. accurate and flexible, indexing by identifying index term sources in the meaning representations built by a powerful general purpose analyser, and providing a range of text expressions constituting semantic and syntactic variants for each term concept. Indexing is seen as a legitimate form of shallow text processing, but one requiring serious semantically based language processing, particularly to obtain well-founded complex terms, which is the main objective of the project described. The type of indexing strategy described is further seen as having utility in a range of applications environments.

Cited by 5Open access

Predicting long-term response to selection

J. Reeve · Genetics Research · 2000

Lande's equation for predicting the response of trait means to a shift in optimal trait values is tested using a stochastic simulation model. The simulated population is finite, and each individual has a finite number of loci. Therefore, selection may cause allele frequencies and distributions to change over time. Since the equation assumes constant genetic parameters, the degree to which such allelic changes affect predictions can be examined. Predictions are based only on information available at generation zero of directional selection. The quality of the predictions depends on the nature of allelic distributions in the original population. If allelic effects are approximately normally distributed, as assumed in Lande's Gaussian approximation to the continuum-of-alleles model, the predictions are very accurate, despite small changes in the G matrix. If allelic effects have a leptokurtic distribution, as is likely in Turelli's 'house-of-cards' approximation, the equation underestimates the rate of response and correlated response, and overestimates the time required for the trait means to reach their equilibrium values. Models with biallelic loci have limits as to the amount of trait divergence possible, since only two allelic values are available at each of a finite set of loci. If the new optimal trait values lie within these limits, predictions are good, if not, singularity in the G matrix results in suboptimal equilibria, despite the presence of genetic variance for each individual trait.

Cited by 62Open access

Case selection and long‐term benefits

Imran Ahmad, Kamran I. Muhammad, Patrick L. Whitlow · 2013

In a community-based population, one third patients with significant coronary artery disease (CAD) are found to have a chronic total occlusion (CTO). It was the strongest predictor against percutaneous coronary intervention (PCI) as a treatment strategy by multivariate analysis. The natural history of an unrevascularized CTO is difficult to fully elucidate due to the lack of long-term prospective data. Compared to the angioplasty only era, advances in technology and technique have yielded improvements in both procedural and clinical success rates. This coupled with appropriate patient selection based on knowledge and experience with specialized CTO devices and retrograde approaches has led to reports of success rates of over 90%. Although no formalized CTO training pathway exists, the practice pattern that has emerged at centers with excellent results has been to have the procedure performed or directly supervised by one or two specialists. Operator experience is a major contributor to successful CTO-PCI outcome.

Cited by 0

SELECTION FOR LONG-TERM HOSPITAL CARE

Fiona Ramsay, Ruth Horsfall, Alison Bealle Rudd · Age and Ageing · 1987

A formalized system for selecting patients requiring long-term hospital accommodation is described and our first two years' experience presented. Fifty patients were considered by the panel of whom 25 were designated as being suitable to be transferred to a long-term bed. Alternative solutions were considered more appropriate for the remaining 25; only 0.95% of all admissions to the unit finally required long-term hospital care.

Cited by 5

Selection Criteria for Long-term Oxygen

Thomas L. Petty · American Review of Respiratory Disease · 1983

"Selection Criteria for Long-term Oxygen." American Review of Respiratory Disease, 127(4), pp. 397–398

Cited by 16

Dynamics of long-term genomic selection

Jean‐Luc Jannink · Genetics Selection Evolution · 2010

Losing favorable alleles that are in weak linkage disequilibrium with markers is perhaps inevitable when using GS. Placing additional weight on low-frequency favorable alleles, however, may reduce the rate of loss of such alleles to below that of phenotypic selection. Applying such weights at the beginning of GS implementation is important.

Cited by 276Open access