SELGroup

SIDM

We propose a new, unsupervised, and adaptive Decision-Making framework called SIDM for Reinforcement Learning. This approach handles high complexity environments without manual intervention, and increases sample efficiency and policy effectiveness. site at https://selgroup.github.io/SIDM/

UPRHSE

EUSEvent

Effective, Efficient, Unsupervised, and Streaming Social Event Detection via Game Structural Entropy

SSSE

UnDBot

HAGK

SSE

Semi-supervised clustering via structural entropy with different constraints.

HISEvent

Hierarchical and Incremental Structural Entropy Minimization for Unsupervised Social Event Detection

IncreSE

Incremental Measurement Methods for Structural Entropy

SIASM

MultiSPANS

The code of MultiSPANS.

SLED