mutineer
发表于 2025-3-28 15:51:34
Hyperparameter Importance of Quantum Neural Networks Across Small Datasets this to 7 open-source datasets from the OpenML-CC18 classification benchmark whose number of features is small enough to fit on quantum hardware with less than 20 qubits. Three main levels of importance were detected from the ranking of hyperparameters obtained with functional ANOVA. Our experiment
无力更进
发表于 2025-3-28 19:59:07
http://reply.papertrans.cn/29/2811/281053/281053_42.png
Indent
发表于 2025-3-29 02:23:26
http://reply.papertrans.cn/29/2811/281053/281053_43.png
gain631
发表于 2025-3-29 06:01:30
Adaptive Neural Networks for Online Domain Incremental Continual Learning(TP) is trained to select the most suitable NN from the frozen pool for prediction. We compare ODIN against popular regularization and replay methods. It outperforms regularization methods and achieves comparable predictive performance to replay methods.
CROW
发表于 2025-3-29 10:30:45
http://reply.papertrans.cn/29/2811/281053/281053_45.png
invert
发表于 2025-3-29 12:35:58
Leveraging Spatio-Temporal Autocorrelation to Improve the Forecasting of the Energy Consumption in S temporal information related to historical measurements using multiple strategies, as well as that of simultaneously predicting multiple future consumption measurements in a multi-step predictive setting. Finally, we investigate the effectiveness of injecting descriptive features to make the learni
tic-douloureux
发表于 2025-3-29 18:24:40
Elastic Product Quantization for Time Seriesments, which we address with a pre-alignment step using the maximal overlap discrete wavelet transform (MODWT). To demonstrate the efficiency and accuracy of our method, we perform an extensive experimental evaluation on benchmark datasets in nearest neighbors classification and clustering applicati
捐助
发表于 2025-3-29 20:25:43
http://reply.papertrans.cn/29/2811/281053/281053_48.png
纪念
发表于 2025-3-30 03:00:27
http://reply.papertrans.cn/29/2811/281053/281053_49.png
UTTER
发表于 2025-3-30 04:35:01
Data-Driven Prediction of Athletes’ Performance Based on Their Social Media Presence