The following pages link to (Q5405109):
Displaying 46 items.
- New perspectives on multilocus ancestry informativeness (Q669102) (← links)
- A greedy feature selection algorithm for big data of high dimensionality (Q669273) (← links)
- Online streaming feature selection using rough sets (Q899464) (← links)
- On bandwidth selection using minimal spanning tree for kernel density estimation (Q1659027) (← links)
- Locality preserving score for joint feature weights learning (Q1669154) (← links)
- Simple strategies for semi-supervised feature selection (Q1707485) (← links)
- An adaptive heuristic for feature selection based on complementarity (Q1722737) (← links)
- A set-cover-based approach for the test-cost-sensitive attribute reduction problem (Q1741935) (← links)
- A factor graph model for unsupervised feature selection (Q2004730) (← links)
- Benchmark for filter methods for feature selection in high-dimensional classification data (Q2008133) (← links)
- Generalized feature similarity measure (Q2023884) (← links)
- Evaluating and selecting features via information theoretic lower bounds of feature inner correlations for high-dimensional data (Q2029330) (← links)
- Extending greedy feature selection algorithms to multiple solutions (Q2036770) (← links)
- Regularized target encoding outperforms traditional methods in supervised machine learning with high cardinality features (Q2095774) (← links)
- Regression with adaptive Lasso and correlation based penalty (Q2109879) (← links)
- Streaming feature-based causal structure learning algorithm with symmetrical uncertainty (Q2200619) (← links)
- Concomitance of inverse stochastic resonance and stochastic resonance in a minimal bistable spiking neural circuit (Q2207710) (← links)
- A semi-parallel framework for greedy information-theoretic feature selection (Q2214991) (← links)
- An instance voting approach to feature selection (Q2225171) (← links)
- Solving a class of feature selection problems via fractional 0--1 programming (Q2241181) (← links)
- Asymptotic distributions of empirical interaction information (Q2241513) (← links)
- An efficient semi-supervised representatives feature selection algorithm based on information theory (Q2289615) (← links)
- Maximum relevance minimum common redundancy feature selection for nonlinear data (Q2293268) (← links)
- Predicting 72-hour reattendance in emergency departments using discriminant analysis via mixed integer programming with electronic medical records (Q2313780) (← links)
- Efficient feature selection using shrinkage estimators (Q2320553) (← links)
- Dealing with under-reported variables: an information theoretic solution (Q2409112) (← links)
- Can high-order dependencies improve mutual information based feature selection? (Q2416962) (← links)
- Multiple testing of conditional independence hypotheses using information-theoretic approach (Q2671488) (← links)
- Adaptive Information-Theoretical Feature Selection for Pattern Classification (Q2829673) (← links)
- From Supervised Instance and Feature Selection Algorithms to Dual Selection: A Review (Q3297373) (← links)
- (Q4558191) (← links)
- (Q4558499) (← links)
- Forward-Backward Selection with Early Dropping (Q4633015) (← links)
- Structure learning of Bayesian networks by continuous particle swarm optimization algorithms (Q4960626) (← links)
- (Q4998962) (← links)
- Scalable Semisupervised Functional Neurocartography Reveals Canonical Neurons in Behavioral Networks (Q5380550) (← links)
- Recurrent Information Optimization with Local, Metaplastic Synaptic Dynamics (Q5382486) (← links)
- Using the “Hidden” genome to improve classification of cancer types (Q6055503) (← links)
- Feature selection based on fuzzy combination entropy considering global and local feature correlation (Q6059612) (← links)
- Data poisoning against information-theoretic feature selection (Q6065876) (← links)
- A neurodynamic optimization approach to supervised feature selection via fractional programming (Q6078682) (← links)
- A fuzzy set based approach for effective feature selection (Q6083048) (← links)
- Competence-aware systems (Q6098849) (← links)
- Squared error-based shrinkage estimators of discrete probabilities and their application to variable selection (Q6099114) (← links)
- AFNFS: adaptive fuzzy neighborhood-based feature selection with adaptive synthetic over-sampling for imbalanced data (Q6125240) (← links)
- Fuzzy information-theoretic feature selection via relevance, redundancy, and complementarity criteria (Q6204158) (← links)
