Results 91 to 100 of about 864,317 (294)
One Hidden Semantic Model Based on Intergroup Effects for E-Commerce. [PDF]
Li Y, Zhang W.
europepmc +1 more source
Modeling Semantics with Gated Graph Neural Networks for Knowledge Base Question Answering
The most approaches to Knowledge Base Question Answering are based on semantic parsing. In this paper, we address the problem of learning vector representations for complex semantic parses that consist of multiple entities and relations.
Gurevych, Iryna, Sorokin, Daniil
core
A conceptual model for semantically-based e-government portals [PDF]
Issues of semantic interoperability and service integration for e-government portals are the domain of interest of the present paper. We propose a Conceptual Model for One-Stop e-Government Portals based on the Semantic Web Service technology.
Cabral, Liliana +3 more
core
Visual teach‐and‐repeat (VTR) navigation allows robots to learn and follow routes without building a full metric map. We show that navigation accuracy for VTR can be improved by integrating a topological map with error‐drift correction based on stereo vision.
Fuhai Ling, Ze Huang, Tony J. Prescott
wiley +1 more source
The Properties of Similarity for Jonsson’s Theories and Their Models
Actually, we study the connections of the ∆-PJ-theories with their centers. The properties of various companions of some ∆-PJ-theories and their connection with this theory are considered. Also the similarity of the central types of ∆-PJ-theories in the
A.R. Yeshkeyev
doaj
Hybrid optimization and ontology-based semantic model for efficient text-based information retrieval. [PDF]
Kumar R, Sharma SC.
europepmc +1 more source
Methods to integrate a language model with semantic information for a word prediction component
Most current word prediction systems make use of n-gram language models (LM) to estimate the probability of the following word in a phrase. In the past years there have been many attempts to enrich such language models with further syntactic or semantic ...
Antoine, Jean-Yves, Wandmacher, Tonio
core +1 more source
Continual Learning for Multimodal Data Fusion of a Soft Gripper
Models trained on a single data modality often struggle to generalize when exposed to a different modality. This work introduces a continual learning algorithm capable of incrementally learning different data modalities by leveraging both class‐incremental and domain‐incremental learning scenarios in an artificial environment where labeled data is ...
Nilay Kushawaha, Egidio Falotico
wiley +1 more source
Il processo conoscitivo di un manufatto che si caratte-rizzi per la presenza di pesanti modifiche, numerose mutilazioni o una quasi totale sparizione, passa neces-sariamente per lo studio delle fonti indirette che diven-gono il riferimento principale ...
GIOVANNI ASMUNDO, RITA EL ASMAR
doaj
Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models
A multimodal human–robot interaction framework integrates human pose estimation (HPE) and a large language model (LLM) for gesture‐ and voice‐based robot control. Speech‐to‐text (STT) enables voice command interpretation, while a safety‐aware arbitration mechanism prioritizes gesture input for rapid intervention.
Nasiru Aboki +2 more
wiley +1 more source

