The authors present a new network which consists of symbol layers and a pattern layer for acquiring concepts and inferring meanings of patterns and symbols.

Patterns and Symbols with Attention Mechanism ... multiple symbol-pattern networks for association ... This paper presents an attention mechanism for the multi-�...

The real world consists of events and continuous numeric values, while people represent and process their knowledge in terms of symbols.

The authors have proposed a 2-layer associative memory network consisting of a pattern layer and a symbol layer. This paper presents a construction method for a�...

An Inference Method Using Multiple Patterns and Modification of Pattern Space � Multi-module network associating patterns and symbols with attention mechanism.

Sep 15, 2022 � Instead of performing a single attention function, multi-head attention projects queries, keys and values linearly, multiple times in parallel.

Aug 15, 2024 � In this study, we propose a novel Feature Interaction Dual Self-attention network (FIDS) model for sequential recommendation.

An Efficient Multi-Branch Attention Network over OSNet (EMANet) is proposed. The structure is composed of three parts, the global branch, relational branch, and�...

May 4, 2023 � The proposed model, called the Multi-head Attention-based Masked Sequence Model (MAMSM), uses a multi-headed attention mechanism and mask training approach.

This paper proposed a Multi-Attention-Network. (MANet) to address these issues by extracting contextual de- pendencies through multiple efficient attention�...