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Find link is a tool written by Edward Betts.Longer titles found: Minimum redundancy feature selection (view), Feature Selection Toolbox (view), Relief (feature selection) (view)
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alternate case: feature selection
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In computer science, computational learning theory (or just learning theory) is a subfield of artificial intelligence devoted to studying the design andMultilinear principal component analysis (958 words) [view diff] exact match in snippet view article find links to article
that facilitates object recognition while a semi-supervised MPCA feature selection is employed in visualization tasks. Various extension of MPCA: RobustMapGuide Open Source (405 words) [view diff] exact match in snippet view article find links to article
MapGuide features an interactive viewer that includes support for feature selection, property inspection, map tips, and operations such as buffer, selectBurbank International Film Festival (1,481 words) [view diff] case mismatch in snippet view article find links to article
Feature Selection Award: Narrative Film: Wong Flew Over the Cuckoo's Nest Feature Selection Award: Short Film: Ingrid Pitt: Beyond the Forest FeatureLPBoost (1,949 words) [view diff] exact match in snippet view article find links to article
and especially suited for applications of joint classification and feature selection in structured domains. As in all boosting classifiers, the final classificationAsprise OCR (473 words) [view diff] exact match in snippet view article find links to article
and Services: ITCS & IRoA 2011. Petra demonstrates how to perform feature selection for anti-spam using Asprise OCR. The following languages are supportedStructural health monitoring (2,931 words) [view diff] exact match in snippet view article find links to article
process of selectively choosing data to pass on to or reject from the feature selection process. The data cleansing process is usually based on knowledgeTag SNP (3,150 words) [view diff] exact match in snippet view article find links to article
feature selection around a specific classifier and select a subset of features based on the classifier's accuracy using cross-validation. The featureAmparo Alonso Betanzos (291 words) [view diff] exact match in snippet view article find links to article
Noelia Sánchez-Maroño, and Amparo Alonso-Betanzos. "A review of feature selection methods on synthetic data." Knowledge and information systems 34.3Applicability domain (469 words) [view diff] exact match in snippet view article find links to article
significant vector space. This can be achieved by different means of feature selection and successive principal components analysis. Netzeva T, Worth A,Receiver Operating Characteristic Curve Explorer and Tester (1,051 words) [view diff] exact match in snippet view article find links to article
class-predictive information. ROCCET supports both manual and semi-automated feature selection and is able to automatically generate a variety of mathematical modelsBootstrap aggregating (2,449 words) [view diff] exact match in snippet view article find links to article
number of decision trees to build a random forest that also utilizes feature selection, as mentioned in the Random Forests section. Random Forests are moreAnne Mazer (359 words) [view diff] exact match in snippet view article find links to article
Room was a 1993 ABC Children's Choice book and a Reading Rainbow Feature selection. Among her seven novels, Moose Street was a Booklist Editor's ChoiceWeighted correlation network analysis (3,083 words) [view diff] exact match in snippet view article find links to article
factor analysis), as a clustering method (fuzzy clustering), as a feature selection method (e.g. as gene screening method), as a framework for integratingRedundancy (information theory) (1,123 words) [view diff] case mismatch in snippet view article
J. (2010). "Comparison of Redundancy and Relevance Measures for Feature Selection in Tissue Classification of CT images". Advances in Data Mining. ApplicationsMlpy (503 words) [view diff] exact match in snippet view article find links to article
for linear classifiers and the KFDA-RFE algorithm are available for feature selection. Methods for feature list analysis (for example the Canberra stabilityAutoencoder (5,539 words) [view diff] exact match in snippet view article find links to article
perturbations. The concrete autoencoder is designed for discrete feature selection. A concrete autoencoder forces the latent space to consist only ofJournal of Chemometrics (307 words) [view diff] no match in snippet view article find links to article
Kowalski B. Cited 370 times. Genetic algorithms as a strategy for feature-selection, Volume 6, Issue 5, Sep-Oct 1992, Pages: 267–281, Leardi R, BoggiaRon Miller (artist and author) (2,174 words) [view diff] exact match in snippet view article
has sold over 250,000 copies. It was also twice a Book-of-the-Month feature selection. This and other books have been selections of the Science, QualityOmnidirectional (360-degree) camera (1,476 words) [view diff] exact match in snippet view article
360-degree view, better results can be obtained for optical flow and feature selection and matching. 360 cameras have become extremely popular within theUjjwal Maulik (1,908 words) [view diff] case mismatch in snippet view article find links to article
2014). "Identifying Cancer Biomarkers From Microarray Data Using Feature Selection and Semisupervised Learning". IEEE Journal of Transnational EngineeringRichard Samworth (383 words) [view diff] exact match in snippet view article find links to article
S2CID 1524045. Fan, J., Samworth, R. and Wu, Y. (2009), Ultrahigh dimensional feature selection: beyond the linear model, Journal of Machine Learning Research, 10Ali Dehghantanha (1,596 words) [view diff] exact match in snippet view article find links to article
IoT malware. Dehghantanha introduced ensemble-based multi-filter feature selection method for DDoS detection in cloud computing, and also discussed itsData Science and Predictive Analytics (650 words) [view diff] case mismatch in snippet view article find links to article
Improving Model Performance Specialized Machine Learning Topics Variable/Feature Selection Regularized Linear Modeling and Controlled Variable Selection BigSecretion (2,988 words) [view diff] exact match in snippet view article find links to article
effector proteins for a subset of species based on a multi-level feature selection approach”, PLOS ONE Journal, 2018, 13, e0197041. (doi.org/10.1371/journalCross-race effect (5,745 words) [view diff] exact match in snippet view article find links to article
contact hypothesis, different processing mechanisms, social cognition, feature selection, and cognitive disregard. However, each of these theories have theirSocial bot (2,588 words) [view diff] exact match in snippet view article find links to article
S2CID 10464463. Mbona, Innocent; Eloff, Jan H. P. (2022-01-01). "Feature selection using Benford's law to support detection of malicious social media2021 in film (1,586 words) [view diff] exact match in snippet view article find links to article
2021). "'Titane', 'Happening' among final European Film Awards 2021 feature selection". Screendaily. List of 2021 films at IMDb 2021 Domestic Grosses atList of metaphor-based metaheuristics (4,634 words) [view diff] exact match in snippet view article find links to article
optimization, rostering problems, clustering, and classification and feature selection. A detailed survey on applications of HS can be found. and applicationsRudolf Clausius (1,695 words) [view diff] case mismatch in snippet view article find links to article
Wei-Yu (2010-10-01). "Neural Network Classifier with Entropy Based Feature Selection on Breast Cancer Diagnosis". Journal of Medical Systems. 34 (5): 865–873Ridge regression (3,436 words) [view diff] exact match in snippet view article find links to article
55–67. doi:10.1080/00401706.1970.10488634. Ng, Andrew Y. (2004). Feature selection, L1 vs. L2 regularization, and rotational invariance (PDF). Proc.Journal of Systems and Software (254 words) [view diff] exact match in snippet view article find links to article
articles are: Software defect prediction based on enhanced metaheuristic feature selection optimization and a hybrid deep neural network A software engineeringOntology alignment (1,304 words) [view diff] case mismatch in snippet view article find links to article
Motro. 2002. Database Schema Matching Using Machine Learning with Feature Selection. Proc. of the 14th International Conference on Advanced InformationCartographic generalization (4,302 words) [view diff] case mismatch in snippet view article find links to article
not (for example, a street map including streets but not geology). Feature Selection: (sometimes called refinement or eliminate) the choice of which specificPartial least squares regression (2,868 words) [view diff] case mismatch in snippet view article find links to article
Advances in Partial Least Squares, in Subspace, Latent Structure and Feature Selection Techniques": 34–51. {{cite journal}}: Cite journal requires |journal=Timing closure (650 words) [view diff] case mismatch in snippet view article find links to article
Yanghua, Que (2016). "Boosting Convergence of Timing Closure using Feature Selection in a Learning-driven Approach" (PDF). Archived from the original (PDF)The Federalist Papers (4,958 words) [view diff] case mismatch in snippet view article find links to article
S2CID 207680270. Fung, Glenn (2003). "The Disputed Federalist Papers: SVM Feature Selection via Concave Minimization" (PDF). Journal of the ACM. Archived (PDF)Linear discriminant analysis (5,895 words) [view diff] exact match in snippet view article find links to article
JSTOR 2289860. MR 0999675. Ahdesmäki, M.; Strimmer, K. (2010). "Feature selection in omics prediction problems using cat scores and false nondiscoveryDeborah Ager (501 words) [view diff] case mismatch in snippet view article find links to article
9, 2023. Official website Short biography Interview from the We Who Are About to Die blog Poet of the Month Feature Selection of Published Poems BlogLine Rider (2,296 words) [view diff] no match in snippet view article find links to article
Windows, Line Rider Advanced, which featured an in-game recording feature, selection tools, and advanced settings. Also in 2015, a new web version wasLine Rider (2,296 words) [view diff] no match in snippet view article find links to article
Windows, Line Rider Advanced, which featured an in-game recording feature, selection tools, and advanced settings. Also in 2015, a new web version wasMicrosleep (3,635 words) [view diff] exact match in snippet view article find links to article
Sommer, D., & Wieland, R. (2009, January). Genetic algorithm based feature selection applied on predicting microsleep from speech. In 4th European ConferenceGeographic information system (12,865 words) [view diff] exact match in snippet view article find links to article
Common geoprocessing operations include geographic feature overlay, feature selection and analysis, topology processing, raster processing, and data conversionVasant Honavar (8,122 words) [view diff] case mismatch in snippet view article find links to article
"Adaptive Structural Co-regularization for Unsupervised Multi-view Feature Selection". 2019 IEEE International Conference on Big Knowledge (ICBK). pp. 87–96Multi-task learning (4,675 words) [view diff] case mismatch in snippet view article find links to article
Mean-Regularized Multi-Task Learning Multi-Task Learning with Joint Feature Selection Robust Multi-Task Feature Learning Trace-Norm Regularized Multi-TaskSignal-to-noise statistic (254 words) [view diff] exact match in snippet view article find links to article
Cerquides, J. (2010). Comparison of redundancy and relevance measures for feature selection in tissue classification of CT images. Advances in Data Mining. ApplicationsRider optimization algorithm (1,607 words) [view diff] exact match in snippet view article find links to article
S2CID 195775696. Jadhav AS., Patil PB. and Biradar S (2020). "Optimal feature selection-based diabetic retinopathy detection using improved rider optimizationJiliang Tang (484 words) [view diff] exact match in snippet view article find links to article
1524 times, according to Google Scholar ) Tang J, Alelyani S, Liu H. Feature selection for classification: A review. Data classification: Algorithms andMelty Blood (3,336 words) [view diff] exact match in snippet view article find links to article
versions of existing characters in the PS2 version. All characters now feature selection between three different fighting styles, known as Full Moon, CrescentABC analysis (1,202 words) [view diff] exact match in snippet view article find links to article
estimated importance). Computed ABC was, for example, applied to feature selection for biomedical data, business process management and bankruptcy predictionFish School Search (2,085 words) [view diff] case mismatch in snippet view article find links to article
It combined the FSS with fuzzy modeling in a wrapper approach for Feature Selection. In the MOFSS the operators are adapted to solve multi-objective problemsReference class problem (1,011 words) [view diff] exact match in snippet view article find links to article
(1–2): 33–49. doi:10.1093/lpr/mgi001. Franklin, James (Mar 2010). "Feature selection methods for solving the reference class problem" (PDF). Columbia LawOutline of robotics (4,946 words) [view diff] exact match in snippet view article find links to article
of random variables under consideration, and can be divided into feature selection and feature extraction. Distributed robotics – Electronic stabilityMulti-label classification (2,942 words) [view diff] case mismatch in snippet view article find links to article
Carolina; Lee, Huei Diana (March 2013). "A Comparison of Multi-label Feature Selection Methods using the Problem Transformation Approach". Electronic NotesBorda count (5,839 words) [view diff] no match in snippet view article find links to article
OpenGL Architecture Review Board uses the Borda count as one of the feature-selection methods. The Borda count is used to determine winners for the WorldGene expression profiling (3,993 words) [view diff] exact match in snippet view article find links to article
Enroth S, Wadelius C, Koronacki J, Komorowski J (2008). "Monte Carlo feature selection for supervised classification". Bioinformatics. 24 (1): 110–7. doi:10River carpsucker (1,253 words) [view diff] case mismatch in snippet view article find links to article
htm Bart, H.L., Chen, H.M., Chen, Y.X., Huang, S.Q. 2010. Joint Feature Selection and Classification for Taxonomic Problems Within Fish Species ComplexesNonlinear dimensionality reduction (6,135 words) [view diff] exact match in snippet view article find links to article
1593–1600. Sidhu, Gagan (2019). "Locally Linear Embedding and fMRI feature selection in psychiatric classification". IEEE Journal of Translational EngineeringDispersive flies optimisation (1,262 words) [view diff] exact match in snippet view article find links to article
many aspects of the algorithms including several DFO applications in feature selection as well as parameter tuning. Some of the recent applications of DFORegularized least squares (4,216 words) [view diff] exact match in snippet view article find links to article
is more relevant depends on the specific data set at hand. Besides feature selection described above, LASSO has some limitations. Ridge regression providesMetaboAnalyst (892 words) [view diff] exact match in snippet view article find links to article
correction Dimension reduction Single sample profiling Peak alignment Feature selection Quantitative enrichment analysis Baseline filtering Cluster analysisTopological data analysis (11,081 words) [view diff] exact match in snippet view article find links to article
microscopy, hyperspectral imaging in physical-chemistry, remote sensing, feature selection, and early warning signs of financial crashes. Another way is by distinguishingLyle Ungar (305 words) [view diff] exact match in snippet view article find links to article
scalable machine learning and text mining methods, including clustering, feature selection, and semi-supervised and multi-task learning for natural languageList of spatial analysis software (98 words) [view diff] exact match in snippet view article find links to article
customer profiling, gravity models, customer allocation models, feature selection, data mining, and targeting. A key strength is the vast quantitiesVisual N1 (3,531 words) [view diff] exact match in snippet view article find links to article
of moving stimuli: Electrophysiological correlates of hierarchical feature selection. Perception & Psychophysics, 58, 191-206. Martinez, A., Teder-SalejarviRelational dependency network (785 words) [view diff] exact match in snippet view article find links to article
If the conditional probability distribution estimation method uses feature selection, it is possible that a given variable finds a dependency between itselfDustnet (698 words) [view diff] no match in snippet view article find links to article
reference to Counter-Strike, such as an unlockable "Bunny hopping" feature, selection between one "Counter-Terrorist" and one "Terrorist" team upon joiningMultiomics (4,093 words) [view diff] exact match in snippet view article find links to article
Lê Cao, Kim-Anh (2017-02-14). "mixOmics: an R package for 'omics feature selection and multiple data integration". PLOS Computational Biology. 13 (11):Alzheimer's Disease Neuroimaging Initiative (4,884 words) [view diff] case mismatch in snippet view article find links to article
Stefan; Alzheimer's Disease Neuroimaging Initiative (2015-09-01). "Feature Selection Based on the SVM Weight Vector for Classification of Dementia". IEEELion algorithm (2,295 words) [view diff] exact match in snippet view article find links to article
Computer and Information Sciences. Lin KC, Hung JC and Wei J (2018). "Feature selection with modified lion's algorithms and support vector machine for high-dimensionalSymbolic regression (2,071 words) [view diff] exact match in snippet view article find links to article
according to five properties: re-discovery of exact expressions; feature selection; resistance to local optima; extrapolation; and sensitivity to noiseErol Gelenbe (2,834 words) [view diff] case mismatch in snippet view article find links to article
P. Boryszko, J. Domańska, M. Siavvas and E. Gelenbe. "Efficient Feature Selection for Static Analysis Vulnerability Prediction." Sensors, 21 (4): 1133Michael Lew (526 words) [view diff] case mismatch in snippet view article find links to article
2006. Representative Papers by Michael Lew include: Learning and Feature Selection in Stereo Matching, Michael Lew, et al., IEEE Transactions on PatternTimothy A. Gonsalves (3,242 words) [view diff] case mismatch in snippet view article find links to article
Gupta; A.D. Dileep; T. A. Gonsalves (2018). "A Joint Multivariate Feature Selection Framework for Resource Workload Prediction in Cloud using StabilityThomas Huang (3,252 words) [view diff] case mismatch in snippet view article find links to article
2010 Lew, M.S., Wong, K., and Huang, T.S. (1994), "Learning and Feature Selection in Stereo Matching," IEEE Transactions on Pattern Analysis and MachineBijuli Machine (828 words) [view diff] case mismatch in snippet view article find links to article
अमेरिकामा". Sourya Daily. Retrieved 2017-04-03. "#RIFFA2017 International Feature Selection | Facebook". www.facebook.com. Retrieved 2017-06-14. "Nominees forGeorgia Tourassi (1,059 words) [view diff] exact match in snippet view article find links to article
Georgia (2001). "Application of the mutual information criterion for feature selection in computer‐aided diagnosis". Medical Physics. 28 (12): 2394–2402Automatic acquisition of sense-tagged corpora (1,401 words) [view diff] exact match in snippet view article find links to article
2002a. Word sense disambiguation with pattern learning and automatic feature selection. Natural Language Engineering, 8(4): 348–358. Agirre, Eneko & DavidVenansius Baryamureeba (1,572 words) [view diff] exact match in snippet view article find links to article
Fredrick Edward; Baryamureeba, Venansius (2007). A methodology for feature selection in named entity recognition. Fountain Publishers Kampala. hdl:10570/702Machine learning in bioinformatics (9,350 words) [view diff] exact match in snippet view article find links to article
in bioinformatics can be used for prediction, classification, and feature selection. Methods to achieve this task are varied and span many disciplines;Fatigue detection software (3,743 words) [view diff] exact match in snippet view article find links to article
mobile devices. Deep learning techniques do not require separate feature selection steps to identify eye, mouth or head positions and have the potentialManifold regularization (3,872 words) [view diff] case mismatch in snippet view article find links to article
Dinggang (2014). "Interactive Prostate Segmentation Based on Adaptive Feature Selection and Manifold Regularization". Machine Learning in Medical ImagingAnil K. Jain (computer scientist, born 1948) (1,068 words) [view diff] exact match in snippet view article
Recognition 24.12 (1991): 1167-1186. Jain, Anil K., and Douglas Zongker. "Feature selection: Evaluation, application, and small sample performance". IEEE TransactionsPerminder Sachdev (2,041 words) [view diff] exact match in snippet view article find links to article
35(2): 111-117. doi:10.1097/YCO.0000000000000779 2023: "Ensemble feature selection with data-driven thresholding for Alzheimer's disease biomarker discoveryMario A. T. Figueiredo (1,218 words) [view diff] exact match in snippet view article find links to article
Law, M.H.C.; Figueiredo, M.A.T.; Jain, A.K. (2004). "Simultaneous feature selection and clustering using mixture models". IEEE Transactions on PatternKonstantina Nikita (2,306 words) [view diff] exact match in snippet view article find links to article
"Differential diagnosis of CT focal liver lesions using texture features, feature selection and ensemble driven classifiers". Artificial Intelligence in MedicineList of fellows of IEEE Computational Intelligence Society (65 words) [view diff] exact match in snippet view article find links to article
systems and neurorobotics 2017 Estevez, Pablo For contributions to feature selection and visualization of large data sets 2017 Kwok, James For contributionsComplex Engineering Systems Institute (1,669 words) [view diff] exact match in snippet view article find links to article
business analytics. Fundamental research is being performed for feature selection, dynamic data mining, evolutionary algorithms, ubiquitous computingProtein aggregation predictors (2,517 words) [view diff] exact match in snippet view article find links to article
predictor based on a machine learning approach through recursive feature selection and feed-forward neural networks, taking advantage of newly publishedList of women in statistics (7,951 words) [view diff] exact match in snippet view article find links to article
economy Marina Vannucci (born 1966), Italian expert in wavelets, feature selection, and cluster analysis in Bayesian statistics Maria Eulália Vares,List of fellows of IEEE Engineering in Medicine and Biology Society (53 words) [view diff] exact match in snippet view article find links to article
microelectromechanical systems. 2017 Estevez, Pablo For contributions to feature selection and visualization of large data sets. 2017 Hirata, Akimasa For contributionsList of datasets in computer vision and image processing (6,207 words) [view diff] exact match in snippet view article find links to article
S2CID 1427766. Guyon, Isabelle, et al. "Result analysis of the nips 2003 feature selection challenge." Advances in neural information processing systems. 2004