Discovering Proper Neighbors to Improve Session-Based Recommendation

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	ECML PKDD (2021 : Online) Machine Learning and Knowledge Discovery in Databases ; Part 1: Research Track
1. Verfasser:	Liu, Lin (VerfasserIn)
Weitere Verfasser:	Wang, Li (VerfasserIn), Lian, Tao (VerfasserIn)
Pages:	1
Format:	UnknownFormat
Sprache:	eng
Veröffentlicht:	2021
Schlagworte:
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Bestellen

Titel	Jahr	Verfasser
Routine Bandits: Minimizing Regret on Recurring Problems	2021	Saber, Hassan
Ensemble and Auxiliary Tasks for Data-Efficient Deep Reinforcement Learning	2021	Maulana, Muhammad Rizki
Periodic Intra-ensemble Knowledge Distillation for Reinforcement Learning	2021	Hong, Zhang-Wei
Learning to Build High-Fidelity and Robust Environment Models	2021	Zhang, Weinan
Multi-agent Imitation Learning with Copulas	2021	Wang, Hongwei
Model-Based Offline Policy Optimization with Distribution Correcting Regularization	2021	Shen, Jian
Unsupervised Task Clustering for Multi-task Reinforcement Learning	2021	Ackermann, Johannes
Explainable Online Deep Neural Network Selection Using Adaptive Saliency Maps for Time Series Forecasting	2021	Saadallah, Amal
Estimating the Electrical Power Output of Industrial Devices with End-to-End Time-Series Classification in the Presence of Label Noise	2021	Castellani, Andrea
Multi-task Learning Curve Forecasting Across Hyperparameter Configurations and Datasets	2021	Jawed, Shayan
Bridging Few-Shot Learning and Adaptation: New Challenges of Support-Query Shift	2021	Bennequin, Etienne
Unifying Domain Adaptation and Domain Generalization for Robust Prediction Across Minority Racial Groups	2021	Khoshnevisan, Farzaneh
Rumour Detection via Zero-Shot Cross-Lingual Transfer Learning	2021	Tian, Lin
Ensemble of Local Decision Trees for Anomaly Detection in Mixed Data	2021	Aryal, Sunil
Topological Anomaly Detection in Dynamic Multilayer Blockchain Networks	2021	Ofori-Boateng, D.
A Mixed Noise and Constraint-Based Approach to Causal Inference in Time Series	2021	Assaad, Karim
Streaming Decision Trees for Lifelong Learning	2021	Korycki, Łukasz
FedPHP: Federated Personalization with Inherited Private Models	2021	Li, Xin-Chun
Exploiting History Data for Nonstationary Multi-armed Bandit	2021	Re, Gerlando
Deep Adaptive Multi-intention Inverse Reinforcement Learning	2021	Bighashdel, Ariyan

Alle Artikel auflisten