The following pages link to Kai Puolamäki (Q976118):
Displaying 10 items.
- A randomized approximation algorithm for computing bucket orders (Q976119) (← links)
- Size matters: choosing the most informative set of window lengths for mining patterns in event sequences (Q1715925) (← links)
- Using regression makes extraction of shared variation in multiple datasets easy (Q1741273) (← links)
- Detecting virtual concept drift of regressors without ground truth values (Q2036722) (← links)
- Robust regression via error tolerance (Q2134056) (← links)
- A statistical significance testing approach to mining the most informative set of patterns (Q2435712) (← links)
- (Q4999026) (← links)
- SLISEMAP: supervised dimensionality reduction through local explanations (Q6097137) (← links)
- Bayesian auto-correlated matrix factorization, datasets (Q6698897) (← links)
- Interactive Causal Structure Discovery with Hyytiälä measurements (experiment code and data) (Q6711290) (← links)
