Pages that link to "Item:Q2051315"

The following pages link to Toward optimal probabilistic active learning using a Bayesian approach (Q2051315):

Displaying 18 items.

• Active classification using belief functions and information gain maximization (Q274429) (← links)
• Hessian optimal design for image retrieval (Q632607) (← links)
• Optimised probabilistic active learning (OPAL) (Q747267) (← links)
• Evidence-based uncertainty sampling for active learning (Q1741296) (← links)
• Statistical asymptotic theory of active learning (Q1868265) (← links)
• A batch ensemble approach to active learning with model selection (Q1932092) (← links)
• A step-by-step tutorial on active inference and its application to empirical data (Q2116075) (← links)
• Stream-based active learning for sliding windows under the influence of verification latency (Q2163242) (← links)
• Active learning for hierarchical multi-label classification (Q2212520) (← links)
• Active learning using transductive sparse Bayesian regression (Q2282285) (← links)
• Nuclear discrepancy for single-shot batch active learning (Q2320585) (← links)
• Two optimal strategies for active learning of causal models from interventional data (Q2440180) (← links)
• A Lyapunov approach for stable reinforcement learning (Q2675741) (← links)
• Active Learning (Q2841737) (← links)
• Active Learning of Bayesian Linear Models with High-Dimensional Binary Features by Parameter Confidence-Region Estimation (Q3386414) (← links)
• Active learning with a misspecified prior (Q4682788) (← links)
• Chance-Constrained Active Inference (Q5033549) (← links)
• A Bayesian reinforcement learning approach in Markov games for computing near-optimal policies (Q6059222) (← links)