Pages that link to "Item:Q1127357"

The following pages link to Selection of relevant features and examples in machine learning (Q1127357):

Displaying 50 items.

• Unsupervised dimensionality reduction versus supervised regularization for classification from sparse data (Q2218343) (← links)
• Competitive Boolean function evaluation: beyond monotonicity, and the symmetric case (Q2275907) (← links)
• Correntropy based feature selection using binary projection (Q2276023) (← links)
• A novel attribute weighting algorithm for clustering high-dimensional categorical data (Q2276024) (← links)
• Tight bounds on \(\ell_1\) approximation and learning of self-bounding functions (Q2290687) (← links)
• Item response theory in AI: analysing machine learning classifiers at the instance level (Q2321286) (← links)
• Clustering ensemble based on sample's stability (Q2321297) (← links)
• Investigating consumers' store-choice behavior via hierarchical variable selection (Q2324251) (← links)
• Compositional falsification of cyber-physical systems with machine learning components (Q2331078) (← links)
• Updating attribute reduction in incomplete decision systems with the variation of attribute set (Q2353994) (← links)
• Non-parametric classifier-independent feature selection (Q2369609) (← links)
• Learning juntas in the presence of noise (Q2382279) (← links)
• On multivariate binary data clustering and feature weighting (Q2445579) (← links)
• Spectral clustering with eigenvector selection (Q2462594) (← links)
• A fast separability-based feature-selection method for high-dimensional remotely sensed image classification (Q2476576) (← links)
• Maximum patterns in datasets (Q2478429) (← links)
• Intelligent sensory evaluation: Concepts, implementations, and applications (Q2483520) (← links)
• Bayesian network classifiers versus selective \(k\)-NN classifier (Q2485033) (← links)
• Data representations and generalization error in kernel based learning machines (Q2498650) (← links)
• Advanced conjoint analysis using feature selection via support vector machines (Q2629697) (← links)
• Prediction of protein structure classes using hybrid space of multi-profile Bayes and bi-gram probability feature spaces (Q2632581) (← links)
• Mixed integer quadratic optimization formulations for eliminating multicollinearity based on variance inflation factor (Q2633546) (← links)
• Modelling of insurers' rating determinants. An application of machine learning techniques and statistical models (Q2643981) (← links)
• Entropy-randomized projection (Q2660539) (← links)
• (Q2766745) (← links)
• On classification of signals represented with data-dependent overcomplete dictionaries (Q2902412) (← links)
• A classifier based on rough set and relevance vector machine for disease diagnosis (Q3054698) (← links)
• Algorithmic Signaling of Features in Auction Design (Q3449589) (← links)
• Evolutionary feature selection applied to artificial neural networks for wood-veneer classification (Q3498889) (← links)
• Application of a Generalization of Russo's Formula to Learning from Multiple Random Oracles (Q3557533) (← links)
• A Model of User-Oriented Reduct Construction for Machine Learning (Q3600310) (← links)
• Integration of human knowledge and measured data for optimization of fabric hand (Q4471226) (← links)
• The most discriminant subbands for face recognition: A novel information-theoretic framework (Q4689133) (← links)
• Testing Juntas: A Brief Survey (Q4933362) (← links)
• Using Machine Learning Methods to Predict Bias in Nuclear Criticality Safety (Q5029246) (← links)
• Features Reweighting and Selection in ligand-based Virtual Screening for Molecular Similarity Searching Based on Deep Belief Networks (Q5066679) (← links)
• Almost optimal distribution-free junta testing (Q5091752) (← links)
• The<i>l</i>₁-based sparsification of energy interactions in unsteady lid-driven cavity flow (Q5131427) (← links)
• (Q5214189) (← links)
• Feature Selection via Coalitional Game Theory (Q5457592) (← links)
• Enhancing Density-Based Data Reduction Using Entropy (Q5473194) (← links)
• Support Vector Machines for Dyadic Data (Q5474571) (← links)
• Feature selection algorithms in classification problems: an experimental evaluation (Q5758175) (← links)
• Conceptual combination with PUNC (Q5916149) (← links)
• A neurodynamic optimization approach to supervised feature selection via fractional programming (Q6078682) (← links)
• Almost Optimal Testers for Concise Representations. (Q6084348) (← links)
• Feature selection in machine learning via variable neighborhood search (Q6085272) (← links)
• Feature Selection: From the Past to the Future (Q6487264) (← links)
• Neurodynamics-driven holistic approaches to semi-supervised feature selection (Q6488740) (← links)
• Linear dimensionality reduction method based on topological properties (Q6494625) (← links)