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

searching for Feature selection 76 found (149 total)

alternate case: feature selection

Computational learning theory (823 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 (1,151 words) [view diff] exact match in snippet view article find links to article
MPCA features: Supervised MPCA feature selection is used in object recognition while unsupervised MPCA feature selection is employed in visualization task
MapGuide Open Source (396 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 (1,478 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 (459 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
LPBoost (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 classification
Tag SNP (3,132 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
Redundancy (information theory) (768 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
Applicability domain (454 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,
Anne 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 Choice
Receiver Operating Characteristic Curve Explorer and Tester (1,046 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
Bhattacharyya distance (1,360 words) [view diff] exact match in snippet view article find links to article
phone clustering. A "Bhattacharyya space" has been proposed as a feature selection technique that can be applied to texture segmentation. Bhattacharyya
Structural health monitoring (4,634 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
Weighted correlation network analysis (3,024 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
Amparo Alonso Betanzos (272 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 34.3
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
Mlpy (495 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) (2,100 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
Omnidirectional (360-degree) camera (1,230 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. Applications of omnidirectional cameras also include
Secretion (2,986 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
Richard Samworth (368 words) [view diff] exact match in snippet view article find links to article
x. Fan, J., Samworth, R. and Wu, Y. (2009), Ultrahigh dimensional feature selection: beyond the linear model, Journal of Machine Learning Research, 10
Rudolf Clausius (1,448 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
List of metaphor-based metaheuristics (8,660 words) [view diff] exact match in snippet view article find links to article
optimization, rostering problems, clustering, classification and feature selection to name a few. A detailed survey on applications of HS can be found
Tikhonov regularization (2,987 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.
Partial least squares regression (2,340 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 requires |journal= (help) Helland
Web mining (2,718 words) [view diff] exact match in snippet view article find links to article
Frequency) is introduced. By multi-scanning the document, we can implement feature selection. Under the condition that the category result is rarely affected,
Peter J McCarthy (193 words) [view diff] case mismatch in snippet view article find links to article
Documentary" at the Long Island Film Festival. Two nominations and a "Best Feature Selection" in Toronto. Co-producer on the film "Loss"which won Best Directing
Geographic information system (9,473 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
StatSoft (840 words) [view diff] case mismatch in snippet view article find links to article
stochastic gradient boosted trees, ensembles of neural networks, automatic Feature Selection, MARSplines, CHAID trees, nearest neighbor methods, association rules
The Federalist Papers (4,762 words) [view diff] case mismatch in snippet view article find links to article
06947.52. Fung, Glenn (2003). "The Disputed Federalist Papers: SVM Feature Selection via Concave Minimization" (PDF). Journal of the ACM. Archived (PDF)
Linear discriminant analysis (5,705 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
Microsleep (3,424 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
Ensemble learning (4,830 words) [view diff] case mismatch in snippet view article find links to article
P. (2013). "Generalized Spike-and-Slab Priors for Bayesian Group Feature Selection Using Expectation Propagation" (PDF). Journal of Machine Learning
Ontology alignment (1,288 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
Vasant Honavar (7,434 words) [view diff] case mismatch in snippet view article find links to article
Adaptive Structural Co-regularization for Unsupervised Multi-view Feature Selection. In: Proceedings of the IEEE International Conference on Big Knowledge
Signal-to-noise statistic (251 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
ABC analysis (1,019 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
Predictive analytics (7,630 words) [view diff] exact match in snippet view article find links to article
green). Some authors have extended multinomial regression to include feature selection/importance methods such as random multinomial logit. Probit models
Borda count (4,852 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
Multi-label classification (2,749 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
Melty Blood (3,531 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 Style
Deborah Ager (490 words) [view diff] case mismatch in snippet view article find links to article
uk/bill-beverly Official website Short biography Interview from the We Who Are About to Die blog Poet of the Month Feature Selection of Published Poems Blog
Multi-task learning (4,669 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
Reference class problem (946 words) [view diff] exact match in snippet view article find links to article
classes, Law, Probability and Risk 4 (2005): 33-49. J. Franklin, Feature selection methods for solving the reference class problem, Columbia Law Review
Outline of robotics (4,878 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
Fish School Search (2,055 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 problems
River carpsucker (1,004 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
Gene expression profiling (3,991 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
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
Infoveillance (820 words) [view diff] case mismatch in snippet view article find links to article
Bristol. It is an application of Machine Learning that firstly uses Feature Selection to automatically extract flu-related terms from Twitter content and
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
Regularized least squares (4,237 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
Viola–Jones object detection framework (1,994 words) [view diff] case mismatch in snippet view article find links to article
in the recognition process). The algorithm has four stages: Haar Feature Selection Creating an Integral Image Adaboost Training Cascading Classifiers
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
Timing closure (536 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)
Dispersive flies optimisation (1,274 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
Dustnet (589 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
Multiomics (3,684 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". doi:10.1101/108597. Cite journal requires
List of datasets for machine-learning research (13,886 words) [view diff] exact match in snippet view article find links to article
2125550. Guyon, Isabelle, et al. "Result analysis of the nips 2003 feature selection challenge." Advances in neural information processing systems. 2004
Alzheimer's Disease Neuroimaging Initiative (4,857 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
Timothy A. Gonsalves (2,228 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 (3,121 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
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
Relational dependency network (802 words) [view diff] exact match in snippet view article find links to article
If the conditional probability distribution estimation method uses feature selection, it's possible that a given variable finds a dependency among it and
Data envelopment analysis (2,763 words) [view diff] exact match in snippet view article find links to article
Zhang; Anrong Yang; Chan Xiong; Teng Wang; Zigang Zhang (2014). "Feature selection using data envelopment analysis". Knowledge-Based Systems. 64: 70–80
Bijuli Machine (777 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
Georgia Tourassi (1,048 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
Automatic 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 & David
Anil K. Jain (computer scientist, born 1948) (824 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
Therapeutic Targets Database (2,290 words) [view diff] exact match in snippet view article find links to article
"Consistent gene signature of schizophrenia identified by a novel feature selection strategy from comprehensive sets of transcriptomic data". Briefings
Rita Cucchiara (2,009 words) [view diff] exact match in snippet view article find links to article
Michele; Mello, Paola (1997). Del Bimbo, Alberto (ed.). "Learning for feature selection and shape detection". Image Analysis and Processing. Lecture Notes
Fatigue detection software (3,705 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 (3,692 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
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
List of women in statistics (6,021 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,
Complex Engineering Systems Institute (1,668 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 computing