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[PDF] Top 20 An Embodied Conversational Agent using Retrieval Based Model and Deep Learning

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An Embodied Conversational Agent using Retrieval Based Model and Deep Learning

An Embodied Conversational Agent using Retrieval Based Model and Deep Learning

... of conversational agent to convey information on behalf of human have gained popularity and been used ...a conversational agent via deep learning, comparable to communicating ... See full document

8

Content-Based Image Retrieval using Deep Learning

Content-Based Image Retrieval using Deep Learning

... CNN model consists of several convolutional layers and pooling lay- ers, which are stacked up with one on top of ...am using is different from the ones they have used in their ... See full document

44

Energetic Content Based Image Retrieval Scheme Using Deep Learning Procedures

Energetic Content Based Image Retrieval Scheme Using Deep Learning Procedures

... the model as highlight portrayal, and preprocessing the information with some essential techniques, the CBIR assignment in light of CNN can be enhanced to a full degree ... See full document

5

Deep Learning based Enhanced Triplet Nework Model for Landmark Classification in Image Retrieval

Deep Learning based Enhanced Triplet Nework Model for Landmark Classification in Image Retrieval

... image retrieval in conventional form: at the time of retrieving a set of related images around the space of low- level feature ...propose using unsupervised triplet networks for remote sensing image ... See full document

8

Attention-Based Deep Metric Learning for Near-Duplicate Video Retrieval

Attention-Based Deep Metric Learning for Near-Duplicate Video Retrieval

... predictions based on different parts of videos. We train our model using the Adam optimizer with a learning rate of 1 × e −4 , and weight decay of 1 × e −4 ...training. Based on ... See full document

Customer Review Analysis with self-Learning Agent for Suggesting Solutions using Incremental Reward Deep Q Learning Model

Customer Review Analysis with self-Learning Agent for Suggesting Solutions using Incremental Reward Deep Q Learning Model

... novel model to realize aspect-based sentiment summarization in an integrative way: composing the system with consistently designed feature extraction and clustering, collocation orientation disambiguation, ... See full document

12

Embodied conversational agents for H5N1 pandemic crisis

Embodied conversational agents for H5N1 pandemic crisis

... AINI’s Conversational Agent Architecture This research project involves the establishment of a Crisis Communication Network (CCNet) portal 1 ...an embodied conversational agent ... See full document

7

Recalling shared memories in an embodied conversational agent : personalized robot support for children with
diabetes in the PAL project

Recalling shared memories in an embodied conversational agent : personalized robot support for children with diabetes in the PAL project

... ontological model can capture the main concepts with their relations of the child-PAL shared episodic memory? The ontology of an episodic memory as defined in this project (figure ...iteration using this ... See full document

119

A crisis communication network based on embodied conversational agents system with mobile services

A crisis communication network based on embodied conversational agents system with mobile services

... conversation agent or software robot, from a diverse conversation to a specific presentation ...news using information extraction (IE) and knowledge representation by ... See full document

10

User preference and embodied conversational agent groups

User preference and embodied conversational agent groups

... and trusting, and comments made by the computer are reme:rllbered more positively [58]. Computer users are affected not only by the appearance of the ECA but also by t[r] ... See full document

161

An embodied conversational agent in a mobile health coaching application

An embodied conversational agent in a mobile health coaching application

... not based on any recognized standard for a healthy amount of physical activity, it is quite possible that the reassurance felt by these participants was in fact not justified, which could certainly be construed as ... See full document

94

The Embodied Conversational Agent Toolkit : a new modularization approach

The Embodied Conversational Agent Toolkit : a new modularization approach

... 3.1 (Additional) Modularization Researchers may choose to use ECAT (modules) because they would like to use a state-of- the-art behavior realization system, such as ACE or SmartBody, for their own ECA. On the other hand, ... See full document

81

Imitation Learning Applied to Embodied Conversational Agents

Imitation Learning Applied to Embodied Conversational Agents

... In order to build a laugh-aware agent, we searched for an interaction scenario which is realistic and simple enough to be set up. Thus, we opted for the one used by Niewiadom- ski et al. (2013) that implies ... See full document

6

Deep Learning for Conversational AI

Deep Learning for Conversational AI

... better model internal content selection and prevent semantic repetitions, which leads to more coherent and natural ...style conversational agents, showing that explicit language grounding is crucial for ... See full document

6

Living with a Virtual Agent: Seven Years with an Embodied Conversational Agent at the Heinz Nixdorf MuseumsForum

Living with a Virtual Agent: Seven Years with an Embodied Conversational Agent at the Heinz Nixdorf MuseumsForum

... The agent adopts this approach by using a pattern matching system to detect specific keywords, but also to identify questions, requests or ...the agent in terms of sentences to answer, sounds to play ... See full document

14

Deep Learning in Agent-Based Models: A Prospectus

Deep Learning in Agent-Based Models: A Prospectus

... simulating agent-based models, and come up with new methods to model economic agents’ ...the Deep Learning algorithm to agent-based models also allows us to envision the ... See full document

19

Automated Metrics That Agree With Human Judgements On Generated Output for an Embodied Conversational Agent

Automated Metrics That Agree With Human Judgements On Generated Output for an Embodied Conversational Agent

... metrics using both of these techniques are used to evaluate three meth- ods for selecting the facial displays of an em- bodied conversational agent, and the predic- tions of the metrics are compared ... See full document

9

Internet cross-media retrieval based on deep learning

Internet cross-media retrieval based on deep learning

... With the development of Internet, multimedia information such as image and video is widely used. Therefore, how to find the required multimedia data quickly and accurately in a large number of resources , has become a ... See full document

34

Retrieval Term Prediction Using Deep Learning Methods

Retrieval Term Prediction Using Deep Learning Methods

... able retrieval term candidates when clues such as their descriptive texts or relevant/surrounding words are given by the ...a retrieval term ...information retrieval support systems that can predict ... See full document

9

Agent-Based Model Calibration using Machine Learning Surrogates

Agent-Based Model Calibration using Machine Learning Surrogates

... 2017b ). In particular, apart from the different statistical framework Kriging relies on (it assumes a multivariate Gaussian process), the results it delivers once applied to ABMs may suffer from three relevant ... See full document

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