Results 241 to 250 of about 738,914 (276)

Optimizing Automated Optical Inspection: An Adaptive Fusion and Semi-Supervised Self-Learning Approach for Elevated Accuracy and Efficiency in Scenarios with Scarce Labeled Data. [PDF]

Sensors (Basel)
Ni YS, Chen WL, Liu Y, Wu MH, Guo JI.
europepmc   +1 more source

A Self-Learning Hyper-Heuristic Algorithm Based on a Genetic Algorithm: A Case Study on Prefabricated Modular Cabin Unit Logistics Scheduling in a Cruise Ship Manufacturer. [PDF]

Biomimetics (Basel)
Li J, Dong R, Wu X, Huang W, Lin P.
europepmc   +1 more source

Wings of Change: aPKC/FoxP-dependent plasticity in steering motor neurons underlies operant self-learning in <i>Drosophila</i>. [PDF]

F1000Res
Ehweiner A, Duch C, Brembs B.
europepmc   +1 more source

A trial of structured debate as a self-learning method for students and young healthcare providers to discuss social issues in general and family medicine: A case report in Japan. [PDF]

J Gen Fam Med
Ikejiri T, Lee J, Yokoyama N, Hakariya A, Otsuka Y, Hakariya H.   +5 more
europepmc   +1 more source

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On Self-Learning Systems

Journal of Cybernetics, 1973
Abstract The fundamental problem on self-learning is discussed. The characteristics and the capability of two representative organizers obtained by the Karhunen-Loeve system and the stochastic approximation method are described and their relationship with Bayes' solution is discussed.
Noguchi, Shoichi, Tomita, Shingo, Watanabe, Takashi   +2 more
openaire   +1 more source

Multiview self-learning

Neurocomputing, 2015
In many applications, observations are available with different views. This is, for example, the case with image-text classification, multilingual document classification or document classification on the web. In addition, unlabeled multiview examples can be easily acquired, but assigning labels to these examples is usually a time consuming task.
Ali Fakeri-Tabrizi, Massih-Reza Amini, Cyril Goutte, Nicolas Usunier   +3 more
openaire   +3 more sources

Self-learning neurofuzzy controller

Proceedings of the 39th Midwest Symposium on Circuits and Systems, 2002
A self-learning fuzzy logic system is given for control of unknown multiple-input-multiple-output (MIMO) plants. A concise formulation of fuzzy controllers for MIMO plants is presented. Through new terminology and data types, relations among the crisp input vector, the fuzzy basis set for all linguistic input variables, the cardinality vector of fuzzy ...
null Chunshien Li, R. Priemer
openaire   +1 more source

Self-Learning Reservoir Management

Proceedings of SPE Annual Technical Conference and Exhibition, 2003
Abstract In this work, we present an industrial automation framework for control and optimization of hydrocarbon producing fields while satisfying business and physical constraints. The all-encompassing reservoir management problem is decomposed into a series of different-time-scales optimization exercises.
L. Saputelli, M. Nikolaou, M. J. Economides   +2 more
openaire   +1 more source

Self-learning genetic algorithm

Journal of Computer and Systems Sciences International, 2015
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Kostenko, V. A., Frolov, A. V.
openaire   +1 more source