Results 271 to 280 of about 5,161,693 (301)

Fuzzy inference neural network

Neurocomputing, 1997
Abstract A new model for the design of Fuzzy Inference Neural Network (FINN) is proposed in this paper. It can automatically partition an input-output pattern space and can extract fuzzy if-then rules from numerical data. The proposed FINN is a two-layer network which utilizes Kohonen's algorithm.
Takatoshi Nishima, Masafumi Hagiwara
openaire   +2 more sources

Inference for transition network grammars

Computer Languages, 1979
This paper gives a brief introduction to transition networks and proposes an approach to the inference of transition network grammars.
S. M. Chou, King-Sun Fu
openaire   +3 more sources

Probabilistic Inference for Network Management

2004
As networks grow in size, heterogeneity, and complexity of applications and network services, an efficient network management system needs to work effectively even in face of incomplete management information, uncertain situations and dynamic changes.
Jianguo Ding, Bernd J. Krämer, Yingcai Bai, Hansheng Chen 0003   +3 more
openaire   +2 more sources

Rule Inference Network for Classification

2019 IEEE 14th International Conference on Intelligent Systems and Knowledge Engineering (ISKE), 2019
To alleviate the low interpretability of algorithms in neural networks, we propose a rule inference network based on rule-based system using the evidential reasoning approach (RIMER), which is interpretable by the rules in belief rule base (BRB). Considering the influence of data distribution on attribute weights, we optimize attribute weights based on
Hongyue Diao, Ansheng Deng, Wei Yan, Li Zou   +3 more
openaire   +1 more source

Abductive Inference of Genetic Networks

2001
GenePath is an automated system for reasoning on genetic networks, wherein a set of genes have various influences on one another and on a biological outcome. It acts on a set of experiments in which genes are knocked out or overexpressed, and the outcome of interest is evaluated.
Blaz Zupan, Ivan Bratko, Janez Demsar, J. Robert Beck, Adam Kuspa, Gad Shaulsky   +5 more
openaire   +1 more source

Bayesian Inference in Trust Networks

ACM Transactions on Management Information Systems, 2013
Trust has emerged as a major impediment to the success of electronic markets and communities where interaction with the strangers is the norm. Social Networks and Online Communities enable interaction with complete strangers, and open up new commercial, political, and social possibilities.
openaire   +1 more source

Layered Random Inference Networks

2009
Random Boolean Networks (RBN) have been used for decades to study the generic properties of genetic regulatory networks. This paper describes Random Inference Networks (RIN) where the aim is to study the generic properties of inference networks used in high-level information fusion. Previous work has discussed RIN with a linear topology, and this paper
openaire   +1 more source

Timely Inference over Networks

ACM SIGMETRICS Performance Evaluation Review
Brief Biography: Md Kamran Chowdhury Shisher is a final-year Ph.D. candidate in the Department of Electrical and Computer Engineering at Auburn University, Auburn, AL, USA. He expects to graduate by May 2024. His Ph.D. works are advised by Yin Sun. Shisher's research interests include Information Freshness, Wireless Networks, Semantic Communications ...
openaire   +1 more source

HiGCIN: Hierarchical Graph-Based Cross Inference Network for Group Activity Recognition

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023
Jinhui Tang, Rui Yan, Qi Tian
exaly  

Bayesian Inference on Network Traffic Using Link Count Data

Journal of the American Statistical Association, 1998
Claudia Tebaldi, Mike West
exaly   +2 more sources