Pages that link to "Item:Q1369065"
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The following pages link to Selective sampling using the query by committee algorithm (Q1369065):
Displaying 41 items.
- Online passive-aggressive active learning (Q298271) (← links)
- A cost-sensitive ensemble method for class-imbalanced datasets (Q369767) (← links)
- Selective sampling techniques for feedback-based data retrieval (Q408588) (← links)
- Gaussian processes for object categorization (Q408779) (← links)
- Knows what it knows: a framework for self-aware learning (Q413843) (← links)
- Learning noisy linear classifiers via adaptive and selective sampling (Q413852) (← links)
- Adaptive sensing performance lower bounds for sparse signal detection and support estimation (Q470072) (← links)
- Active learning with multi-criteria decision making systems (Q736305) (← links)
- Incremental learning with partial instance memory (Q814572) (← links)
- A selective sampling approach to active feature selection (Q814628) (← links)
- Consistency of discrete Bayesian learning (Q950201) (← links)
- Active sampling for multiple output identification (Q1009223) (← links)
- Interactive localized content based image retrieval with multiple-instance active learning (Q1037822) (← links)
- Query by committee, linear separation and random walks. (Q1603591) (← links)
- An active learning-based SVM multi-class classification model (Q1677844) (← links)
- Efficiently learning the preferences of people (Q1945014) (← links)
- Density estimation with minimization of \(U\)-divergence (Q1945015) (← links)
- A theory of transfer learning with applications to active learning (Q1945022) (← links)
- Multiple-view multiple-learner active learning (Q1957871) (← links)
- The true sample complexity of active learning (Q1959593) (← links)
- On active learning methods for manifold data (Q2177723) (← links)
- Active learning via collective inference in network regression problems (Q2198209) (← links)
- An adaptive divergence-based method for structural reliability analysis via multiple kriging models (Q2306804) (← links)
- Statistical active learning algorithms for noise tolerance and differential privacy (Q2345952) (← links)
- Active learning for logistic regression: an evaluation (Q2384165) (← links)
- Two faces of active learning (Q2431424) (← links)
- Corrective feedback and persistent learning for information extraction (Q2457604) (← links)
- Confidence-based classifier design (Q2495916) (← links)
- Agnostic active learning (Q2517826) (← links)
- Learning cost-sensitive active classifiers (Q2676585) (← links)
- Asymptotic Theory of Information-Theoretic Experimental Design (Q3025067) (← links)
- Active Data Collection for Efficient Estimation and Comparison of Nonlinear Neural Models (Q3116928) (← links)
- Sample Selection for Statistical Parsing (Q3225416) (← links)
- A Scalable Algorithm for Graph-Based Active Learning (Q3507348) (← links)
- Graph-Based Active Learning Based on Label Propagation (Q3540952) (← links)
- (Q4633044) (← links)
- (Q5011562) (← links)
- Query-based selection of optimal candidates under the Mallows model (Q6057847) (← links)
- Active learning by query by committee with robust divergences (Q6115105) (← links)
- Optimal experimental design: formulations and computations (Q6598420) (← links)
- Recent advances in scaling-down sampling methods in machine learning (Q6607064) (← links)
