Results 11 to 20 of about 738,914 (276)
Self-Learning Classifier for Internet traffic [PDF]
, 2012 Network visibility is a critical part of traffic engineering, network management, and security. Recently, unsupervised algorithms have been envisioned as a viable alternative to automatically identify classes of traffic. However, the accuracy achieved so
Baralis, Elena Maria +3 more
core +1 more source
Self-Learning Monte Carlo Method in Fermion Systems [PDF]
, 2016 We develop the self-learning Monte Carlo (SLMC) method, a general-purpose numerical method recently introduced to simulate many-body systems, for studying interacting fermion systems.
Fu, Liang +4 more
core +2 more sources
Self-Learning Hot Data Prediction: Where Echo State Network Meets NAND Flash Memories [PDF]
, 2020 © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new ...
Ai, Jiaqiu +4 more
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Self-Learning Cloud Controllers: Fuzzy Q-Learning for Knowledge Evolution [PDF]
, 2015 Cloud controllers aim at responding to application demands by automatically scaling the compute resources at runtime to meet performance guarantees and minimize resource costs.
Estrada, Giovani +4 more
core +2 more sources
Self-Learning Determinantal Quantum Monte Carlo Method [PDF]
, 2016 Self-learning Monte Carlo method [arXiv:1610.03137, 1611.09364] is a powerful general-purpose numerical method recently introduced to simulate many-body systems. In this work, we implement this method in the framework of determinantal quantum Monte Carlo
Fu, Liang +4 more
core +3 more sources
Self-learning mechanical circuits
, 2023 Computation, mechanics and materials merge in biological systems, which can continually self-optimize through internal adaptivity across length scales, from cytoplasm and biofilms to animal herds. Recent interest in such material-based computation uses the principles of energy minimization, inertia and dissipation to solve optimization problems ...
Patil, Vishal P., Ho, Ian, Prakash, Manu
openaire +2 more sources
An LSPI based reinforcement learning approach to enable network cooperation in cognitive wireless sensor networks [PDF]
, 2013 The number of wirelessly communicating devices increases every day, along with the number of communication standards and technologies that they use to exchange data.
De Poorter, Eli +3 more
core +2 more sources
AraSenCorpus: A Semi-Supervised Approach for Sentiment Annotation of a Large Arabic Text Corpus
Applied Sciences, 2021 At a time when research in the field of sentiment analysis tends to study advanced topics in languages, such as English, other languages such as Arabic still suffer from basic problems and challenges, most notably the availability of large corpora ...
Ali Al-Laith +3 more
doaj +1 more source
International Journal of Engineering and Management Sciences, 2020 In this paper four short sessions are reviewed in the theme of introductory programming. The sessions were performed in four different student groups from the age twelve to seventeen in two different schools. The paper summarizes important input and output properties of the groups, like the preliminary studies of Informatics and the grades in both ...
openaire +3 more sources
Frontiers in EducationEquipping learners with the ability to manage their own learning has become a priority in mathematics education, particularly at the lower-secondary level. This resonates with heutagogical calls for self-determined learning from an early age. However, in
Gordon Sekano +2 more
doaj +1 more source