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A Review of Feature Selection and Feature Extraction Methods Applied on Microarray DataDiscovering feature relevancy and dependency by kernel-guided probabilistic model-building evolutionSerum-free medium optimization based on trial design and support vector regressionCuffless and Continuous Blood Pressure Estimation from the Heart Sound Signals.Network and data integration for biomarker signature discovery via network smoothed T-statistics.Mobile-cloud assisted video summarization framework for efficient management of remote sensing data generated by wireless capsule sensors.A comparison of different chemometrics approaches for the robust classification of electronic nose data.Gene selection and classification from microarray data using kernel machine.A novel approach for prediction of vitamin d status using support vector regression.Estimation of relevant variables on high-dimensional biological patterns using iterated weighted kernel functions.Accurate molecular classification of cancer using simple rulesCalpain cleavage prediction using multiple kernel learning.Hierarchical fusion of features and classifier decisions for Alzheimer's disease diagnosis.Combining Statistical and Geometric Features for Colonic Polyp Detection in CTC Based on Multiple Kernel Learning.Soft and hard classification by reproducing kernel Hilbert space methods.A Genetic Algorithm Based Support Vector Machine Model for Blood-Brain Barrier Penetration Prediction.An alternative reference space for H&E color normalizationℓ(p)-Norm multikernel learning approach for stock market price forecasting.A novel similarity learning method via relative comparison for content-based medical image retrieval.Support vector regression-guided unravelling: antioxidant capacity and quantitative structure-activity relationship predict reduction and promotion effects of flavonoids on acrylamide formation.Application of Machine Learning Approaches for Classifying Sitting Posture Based on Force and Acceleration Sensors.A classification framework applied to cancer gene expression profiles.A review of statistical methods for prediction of proteolytic cleavage.A novel functional infrared imaging system coupled with multiparametric computerised analysis for risk assessment of breast cancer.Probability estimation with machine learning methods for dichotomous and multicategory outcome: theory.Protein subcellular localization prediction using multiple kernel learning based support vector machine.Kernel-based Joint Feature Selection and Max-Margin Classification for Early Diagnosis of Parkinson's Disease.A Predictive Based Regression Algorithm for Gene Network Selection.Prediction of chemical carcinogenicity by machine learning approaches.TENET: topological feature-based target characterization in signalling networks.Novel application of heuristic optimisation enables the creation and thorough evaluation of robust support vector machine ensembles for machine learning applicationsComputational intelligence techniques for tactile sensing systems.The impact of microRNAs on transcriptional heterogeneity and gene co-expression across single embryonic stem cells.Clinician's road map to wavelet EEG as an Alzheimer's disease biomarker.Multiple spectral kernel learning and a gaussian complexity computation.Ranking-based kernels in applied biomedical diagnostics using a support vector machine.Gene selection using support vector machines with non-convex penalty.Multiclass molecular cancer classification by kernel subspace methods with effective kernel parameter selection.Alzheimer Classification Using a Minimum Spanning Tree of High-Order Functional Network on fMRI Dataset.Nonlinear spectral mixture effects for photosynthetic/non-photosynthetic vegetation cover estimates of typical desert vegetation in western China.
P2860
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P2860
description
im Januar 2002 veröffentlichter wissenschaftlicher Artikel
@de
wetenschappelijk artikel
@nl
наукова стаття, опублікована у 2002
@uk
type
P356
P1433
P2093
Olivier Bousquet
Olivier Chapelle
P2888
P304
P356
10.1023/A:1012450327387
P577
2002-01-01T00:00:00Z
P6179
1050536379