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Longer titles found: Minimum redundancy feature selection (view), Feature Selection Toolbox (view), Relief (feature selection) (view)

searching for Feature selection 102 found (191 total)

alternate case: feature selection

Computational learning theory (865 words) [view diff] no match in snippet view article find links to article

In computer science, computational learning theory (or just learning theory) is a subfield of artificial intelligence devoted to studying the design and

Multilinear principal component analysis (990 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: Robust

MapGuide 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, select

Burbank International Film Festival (1,599 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 Feature

Asprise 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 supported

Structural health monitoring (2,994 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 knowledge

Amparo 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

Tag 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 feature

Anne Mazer (307 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 Choice

Isolation forest (4,553 words) [view diff] case mismatch in snippet view article find links to article

using the average of the corresponding columns, with SimpleImputer. Feature Selection : To enhance the model's effectiveness and accuracy in predictions

Bootstrap aggregating (2,430 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 § Random Forests. Random Forests are more complex

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 models

Weighted correlation network analysis (3,120 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 integrating

List of things named after Thomas Bayes (965 words) [view diff] exact match in snippet view article find links to article

Bayesian structural time series – Statistical technique used for feature selection Bayesian support-vector machine – Set of methods for supervised statistical

Redundancy (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. Applications

Mlpy (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 stability

Ron Miller (artist and author) (2,227 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, Quality

Journal 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, Boggia

Autoencoder (6,211 words) [view diff] exact match in snippet view article find links to article

reconstruction error. The concrete autoencoder is designed for discrete feature selection. A concrete autoencoder forces the latent space to consist only of

Omnidirectional (360-degree) camera (1,456 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 the

Ujjwal Maulik (2,063 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 Translational Engineering

Rudolf Clausius (1,683 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): 865–873

Richard Samworth (425 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, 10

Ali Dehghantanha (1,599 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 its

Cross-race effect (5,761 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 their

Secretion (2,981 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/journal

Data Science and Predictive Analytics (686 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 Big

Elbow method (clustering) (765 words) [view diff] exact match in snippet view article

measures, the results may depend much on the data preprocessing (feature selection and scaling) and users may come to very different clustering results

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 engineering

List of metaphor-based metaheuristics (4,795 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 applications

Bing Xue (727 words) [view diff] case mismatch in snippet view article find links to article

2010. Xue completed a PhD titled Particle Swarm Optimisation for Feature Selection in Classification at Victoria University of Wellington in 2014. Her

Ontology 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 Information

Social bot (3,495 words) [view diff] exact match in snippet view article find links to article

S2CID 10464463. Mbona, Innocent; Eloff, Jan H. P. (January 1, 2022). "Feature selection using Benford's law to support detection of malicious social media

2021 in film (1,750 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 at

Genetic algorithm (8,045 words) [view diff] case mismatch in snippet view article find links to article

Jimenez-Vilchez, Alfonso; Arauzo-Azofra, Antonio (2022). "Initialization of Feature Selection Search for Classification (sec. 3)". Journal of Artificial Intelligence

Cartographic generalization (4,355 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 specific

Partial least squares regression (2,972 words) [view diff] case mismatch in snippet view article find links to article

Steve; Shawe-Taylor, John (eds.). Subspace, Latent Structure and Feature Selection: Statistical and Optimization Perspectives Workshop, SLSFS 2005, Bohinj

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)

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)

Microsleep (3,616 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 Conference

Line Rider (2,369 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 was

Ridge regression (4,146 words) [view diff] exact match in snippet view article find links to article

1080/00401706.2020.1742207. ISSN 0040-1706. Ng, Andrew Y. (2004). Feature selection, L1 vs. L2 regularization, and rotational invariance (PDF). Proc.

Linear discriminant analysis (6,037 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 nondiscovery

Geographic information system (13,154 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 conversion

Jinchi Lv (216 words) [view diff] exact match in snippet view article find links to article

selection with misspecification, large Gaussian graphical models, and feature selection with controlled error rates such as the sure independence screening

The Federalist Papers (5,091 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)

Applicability domain (490 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,

Jiliang Tang (443 words) [view diff] exact match in snippet view article find links to article

newsletter. 2017 Sep 1;19(1):22-36. [1] Tang J, Alelyani S, Liu H. Feature selection for classification: A review. Data classification: Algorithms and

Data stream clustering (2,047 words) [view diff] exact match in snippet view article find links to article

techniques ineffective. Techniques such as dimensionality reduction, feature selection, or subspace clustering are often used in conjunction to mitigate

Melty Blood (3,374 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, Crescent

Rider optimization algorithm (1,612 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 optimization

Signal-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. Applications

Outline of robotics (4,970 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 stability

ABC analysis (1,073 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 prediction

Reference class problem (1,009 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 Law

Borda count (5,487 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 World

Gene expression profiling (4,007 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:10

Multi-task learning (6,156 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-Task

Lyle 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 language

Multi-label classification (3,048 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 Notes

Nonlinear dimensionality reduction (6,112 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 Engineering

Grey Wolf Optimization (673 words) [view diff] exact match in snippet view article find links to article

wide range of applications, including power system optimization, feature selection in machine learning, and structural engineering. Additionally, its

River carpsucker (1,388 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 Complexes

Dispersive flies optimisation (1,270 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 DFO

Michael 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 Pattern

Topological data analysis (10,980 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 distinguishing

MetaboAnalyst (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 analysis

Visual 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-Salejarvi

Jack Yang (754 words) [view diff] exact match in snippet view article find links to article

Wen-Cong; Yang, Jack Y; Yang, Mary Qu (2008). "Asymmetric bagging and feature selection for activities prediction of drug molecules". BMC Bioinformatics.

Relational 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 itself

Regularized least squares (4,894 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 provides

Dustnet (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 joining

List of spatial analysis software (58 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 quantities

Alzheimer's Disease Neuroimaging Initiative (4,886 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". IEEE

Symbolic regression (2,076 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 noise

Lion algorithm (2,306 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-dimensional

Erol Gelenbe (3,713 words) [view diff] case mismatch in snippet view article find links to article

Joanna; Siavvas, Miltiadis; Gelenbe, Erol (6 February 2021). "Efficient Feature Selection for Static Analysis Vulnerability Prediction". Sensors. 21 (4): 1133

Enrique Alba (866 words) [view diff] exact match in snippet view article find links to article

search, and related solvers are used. The link to machine learning for feature selection, prediction, prescription, and the theory behind the design and complexity

Multiomics (5,005 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):

Timothy A. Gonsalves (3,315 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 Stability

Thomas Huang (3,299 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 Machine

Georgia 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): 2394–2402

Venansius Baryamureeba (1,581 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:10570/702

Machine learning in bioinformatics (8,279 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;

Bijuli Machine (836 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 for

Anil K. Jain (computer scientist, born 1948) (1,095 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 Transactions

Nicolai Petkov (1,220 words) [view diff] exact match in snippet view article find links to article

Innovation 10 (1), 118, 2024 HH Htun, M Biehl, N Petkov: Survey of feature selection and extraction techniques for stock market prediction. Financial Innovation

Automatic acquisition of sense-tagged corpora (1,233 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 & David

Perminder 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 discovery

Fatigue detection software (3,751 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 potential

Manifold 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 Imaging

Shen Qiang (engineer) (430 words) [view diff] case mismatch in snippet view article

Electrical and Electronics Engineers. "New Approaches to Fuzzy-Rough Feature Selection". Institute of Electrical and Electronics Engineers. "Olympic celebration"

Mario A. T. Figueiredo (1,227 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 Pattern

Oliver Sawodny (813 words) [view diff] exact match in snippet view article find links to article

1476-1492, ISSN 1063-6536. Janine Guenther, Oliver Sawodny (Hrsg.): Feature selection and Gaussian Process regression for personalized thermal comfort prediction

Konstantina Nikita (2,300 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 Medicine

List 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 contributions

Claudia Eckert (computer scientist) (581 words) [view diff] exact match in snippet view article

Gavin; Fumera, Giorgio; Eckert, Claudia; Roli, Fabio (2015), "Is feature selection secure against training data poisoning?", in Bach, Francis R.; Blei

Protein aggregation predictors (2,523 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 published

List of women in statistics (8,599 words) [view diff] exact match in snippet view article find links to article

educator 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 contributions

Abess (2,383 words) [view diff] exact match in snippet view article find links to article

Guguchkin, EP and Akimkin, VG and Neverov, AD and Fedonin, GG (2022). "Feature selection and aggregation for antibiotic resistance GWAS in Mycobacterium tuberculosis:

List of datasets in computer vision and image processing (7,847 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