Pages that link to "Item:Q5870332"
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The following pages link to Quantum speedup of Bayes’ classifiers (Q5870332):
Displaying 16 items.
- A quantum-inspired version of the classification problem (Q682645) (← links)
- A steady state quantum classifier (Q820581) (← links)
- Quantum computers speed up classical with probability zero (Q1573934) (← links)
- Quantum speed-up for unsupervised learning (Q1945031) (← links)
- An all-pair quantum SVM approach for big data multiclass classification (Q1994726) (← links)
- Quantum mean centering for block-encoding-based quantum algorithm (Q2096803) (← links)
- Compact data encoding for data re-uploading quantum classifier (Q2107011) (← links)
- Fast-QTrain: an algorithm for fast training of variational classifiers (Q2107969) (← links)
- Boosting for quantum weak learners (Q2107988) (← links)
- Quantum approximate optimization algorithm for Bayesian network structure learning (Q2111010) (← links)
- The theory of the quantum kernel-based binary classifier (Q2213171) (← links)
- Supervised learning with a quantum classifier using multi-level systems (Q2677152) (← links)
- Quantum speedup for pool-based active learning (Q2681027) (← links)
- Quantum kernel logistic regression based Newton method (Q2683279) (← links)
- Quantum machine learning: a classical perspective (Q4556858) (← links)
- Learning quantum models from quantum or classical data (Q5869992) (← links)
