Team formation in social networks based on collective intelligence–an evolutionary approach
GK Awal, KK Bharadwaj - Applied intelligence, 2014 - Springer
The tremendous growth of the social web has inspired research communities to discover
social intelligence, which encompasses a wide spectrum of knowledge characterized by …
social intelligence, which encompasses a wide spectrum of knowledge characterized by …
Question answering to populate knowledge base
Methods and systems are provided for a question answering. In some implementations, a
data element to be updated is identified in a knowledge graph and a query is generated …
data element to be updated is identified in a knowledge graph and a query is generated …
Curious Cat--Mobile, Context-Aware Conversational Crowdsourcing Knowledge Acquisition
Scaled acquisition of high-quality structured knowledge has been a longstanding goal of
Artificial Intelligence research. Recent advances in crowdsourcing, the sheer number of …
Artificial Intelligence research. Recent advances in crowdsourcing, the sheer number of …
Retracted: Traffic identification and traffic analysis based on support vector machine
W Zhongsheng, W Jianguo, Y Sen… - Concurrency and …, 2020 - Wiley Online Library
The number of applications based on the Internet is increasing, which results the traffic
becoming more and more complex. Therefore, how to improve the service quality and …
becoming more and more complex. Therefore, how to improve the service quality and …
Exploration and exploitation of new knowledge emergence to improve the collective intelligent decision-making level of web-of-cells with cyber-physical-social …
L Cheng, T Yu - IEEE Access, 2018 - ieeexplore.ieee.org
Through exploration and exploitation of new knowledge emergence, the collective intelligent
decision-making (CID) level of Web-of-Cells (WoC) proposed by ELECTRA will be …
decision-making (CID) level of Web-of-Cells (WoC) proposed by ELECTRA will be …
Human-like constrained-mating to make genetic algorithm more explorative
AC Rizal, S Suyanto - 2020 8th International Conference on …, 2020 - ieeexplore.ieee.org
A genetic algorithm (GA) is widely used to solve many optimization problems. It does not
promise accurate results but provides an acceptable ones in various practical applications …
promise accurate results but provides an acceptable ones in various practical applications …
Conversing learning: Active learning and active social interaction for human supervision in never-ending learning systems
SDS Pedro, ER Hruschka - … in Artificial Intelligence–IBERAMIA 2012: 13th …, 2012 - Springer
Abstract The Machine Learning community have been introduced to NELL (Never-Ending
Language Learning), a system able to learn from web and to use its knowledge to keep …
Language Learning), a system able to learn from web and to use its knowledge to keep …
Curious cat conversational crowd based and context aware knowledge acquisition chat bot
Acquisition of high quality structured knowledge that is immediately useful for reasoning
algorithms has been a longstanding goal of the Artificial Intelligence research community …
algorithms has been a longstanding goal of the Artificial Intelligence research community …
Autonomously reviewing and validating the knowledge base of a never-ending learning system
The amount of information available on the Web has been increasing daily. However, how
one might know what is right or wrong? Does the Web itself can be used as a source for …
one might know what is right or wrong? Does the Web itself can be used as a source for …
How to read the web in portuguese using the never-ending language learner's principles
MC Duarte, ER Hruschka - 2014 14th International Conference …, 2014 - ieeexplore.ieee.org
An alternative to the traditional single function approximation method is the never-ending
learning (NEL) approach ie, a learning paradigm in which, the learner, in an autonomous …
learning (NEL) approach ie, a learning paradigm in which, the learner, in an autonomous …