AIMC Topic: Problem Solving

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TextRank Keyword Extraction Algorithm Using Word Vector Clustering Based on Rough Data-Deduction.

Computational intelligence and neuroscience
When TextRank algorithm based on graph model constructs graph associative edges, the co-occurrence window rules only consider the relationships between local terms. Using the information in the document itself is limited. In order to solve the above ...

Is Artificial Intelligence Customer Service Satisfactory? Insights Based on Microblog Data and User Interviews.

Cyberpsychology, behavior and social networking
A growing number of sectors are delivering customer services powered by artificial intelligence (AI) instead of humans, with evidence indicating labor cost reduction and efficiency improvement. However, it would be worthwhile to examine the extent to...

Real-Time Detection of Cook Assistant Overalls Based on Embedded Reasoning.

Sensors (Basel, Switzerland)
Currently, the target detection based on convolutional neural network plays an important role in image recognition, speech recognition and other fields. However, the current network model features a complex structure, a huge number of parameters and ...

A new ML-based approach to enhance student engagement in online environment.

PloS one
The educational research is increasingly emphasizing the potential of student engagement and its impact on performance, retention and persistence. This construct has emerged as an important paradigm in the higher education field for many decades. How...

When is Psychology Research Useful in Artificial Intelligence? A Case for Reducing Computational Complexity in Problem Solving.

Topics in cognitive science
A problem is a situation in which an agent seeks to attain a given goal without knowing how to achieve it. Human problem solving is typically studied as a search in a problem space composed of states (information about the environment) and operators ...

Human-in-the-Loop Low-Shot Learning.

IEEE transactions on neural networks and learning systems
We consider a human-in-the-loop scenario in the context of low-shot learning. Our approach was inspired by the fact that the viability of samples in novel categories cannot be sufficiently reflected by those limited observations. Some heterogeneous s...

A Neural Network Based on the Metric Projector for Solving SOCCVI Problem.

IEEE transactions on neural networks and learning systems
We propose an efficient neural network for solving the second-order cone constrained variational inequality (SOCCVI). The network is constructed using the Karush-Kuhn-Tucker (KKT) conditions of the variational inequality (VI), which is used to recast...

BARD: A Structured Technique for Group Elicitation of Bayesian Networks to Support Analytic Reasoning.

Risk analysis : an official publication of the Society for Risk Analysis
In many complex, real-world situations, problem solving and decision making require effective reasoning about causation and uncertainty. However, human reasoning in these cases is prone to confusion and error. Bayesian networks (BNs) are an artificia...

HiAM: A Hierarchical Attention based Model for knowledge graph multi-hop reasoning.

Neural networks : the official journal of the International Neural Network Society
Learning to reason in large-scale knowledge graphs has attracted much attention from research communities recently. This paper targets a practical task of multi-hop reasoning in knowledge graphs, which can be applied in various downstream tasks such ...

Reimagining robotic walkers for real-world outdoor play environments with insights from legged robots: a scoping review.

Disability and rehabilitation. Assistive technology
PURPOSE: For children with mobility impairments, without cognitive delays, who want to participate in outdoor activities, existing assistive technology (AT) to support their needs is limited. In this review, we investigate the control and design of a...