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...n [[memory]] and their [[social learning theory|social learning]] with the knowledge points in the social sharing library. It has been used for solving [[contin ...tate in the problem space <math>S</math>. In SCO, each state is called a ''knowledge point'', and the function <math>f</math> is the ''goodness function''. ...

{{short description|Engineering theory}} In [[structural engineering]] and [[mechanical engineering]], '''generalised beam theory (GBT)''' is a one-dimensional theory used to ...

*Describing the job content of the work, by indicating the skill, knowledge, etc. ...ion:<ref>Ostwald, P. F., McLaren, T. S. ''Cost Analysis and Estimating for Engineering and Management'', Prentice Hall, 2004, {{ISBN|978-0-13-142127-1}}</ref>- ...

...(individual words or entire documents) that uses a document corpus as a [[knowledge base]]. Specifically, in ESA, a word is represented as a column vector in t ...ottleneck using Wikipedia: enhancing text categorization with encyclopedic knowledge |conference=Proc. 21st National Conference on Artificial Intelligence (AAAI ...

...t2=C. |date=1952 |title=Spanish practice in harbor design |journal=Coastal Engineering Proceedings |volume=1(3) |issue=13 |page=13 |doi=10.9753/icce.v3.13 |doi-ac ...ho introduced it and who has made many other valuable contributions to our knowledge of water waves. ...

...lear University MEPhI (Moscow Engineering Physics Institute)|MEPhI (Moscow Engineering Physics Institute)]] (diploma, 1953) ...rch Nuclear University MEPhI (Moscow Engineering Physics Institute)|Moscow Engineering and Physics University]], where she graduated in 1954. Shmeleva joined the ...

...ilized in computational [[simulation]] of practical problems in [[chemical engineering]]. Computer simulation provides the flexibility to study chemical processes * Levenspiel, Octave. ''Chemical reaction engineering''. Vol. 2. New York etc.: Wiley, 1972. ...

...he case of non-Newtonian fluids, measurement of apparent viscosity without knowledge of the shear rate is of limited value: the measurement cannot be compared t [[Category:Petroleum engineering]] ...

...cteristics that are measured on a continuous scale. This plan requires the knowledge of the [[statistical model]] (e.g. [[normal distribution]]). The historical ...s for Scientific and [[Industrial Research]] and Production and Management Engineering. ...

...itle=The Google similarity distance|journal=IEEE Trans. Knowledge and Data Engineering|volume=19|issue=3|date=2007|pages=370–383|arxiv=cs/0412098 |doi=10.1109/TKD knowledge in humankind, like "home" or "red". The similarity between names for object ...

...process models from event logs", ''IEEE Transactions on Knowledge and Data Engineering'', vol 16</ref> The goal of Alpha miner is to convert the event log into a ....ieee.org/document/1316839|journal=IEEE Transactions on Knowledge and Data Engineering|volume=16|issue=9|pages=1128–1142|doi=10.1109/TKDE.2004.47|s2cid=5282914 |i ...

...orsunsky_paper" /> Understanding the total residual stress state, based on knowledge of the eigenstrains, informs the design process in many fields. ===Structural engineering=== ...

...by Liping Liu.<ref>Liu, Liping, Catherine Shenoy, and Prakash P. Shenoy, “Knowledge Representation and Integration for Portfolio Evaluation Using Linear Belief ...ion is described by a [[normal distribution]]; along other dimensions, our knowledge is [[vacuous]], i.e., the true value is somewhere from –∞ to +∞ but the ass ...

{{Short description|Machine learning method to transfer knowledge from a large model to a smaller one}} ...[[mobile device]]).<ref name="Hinton15">{{cite arXiv|title=Distilling the knowledge in a neural network|year=2015|eprint=1503.02531|last1=Hinton|first1=Geoffre ...

...nce sampling]] method of [[variance reduction]], does not require detailed knowledge of the system. ...

...g for expansible files | journal = IEEE Transactions on Knowledge and Data Engineering | volume = 11 | date = 1999| issue = 6 }}</ref> ...

..., as well as a tool for refining their decision knowledge and facilitating knowledge sharing in a scalable manner. ...ems. The process of capturing semantics within a community is a process of knowledge acquisition. ...

...e used as a way to incorporate expressive{{clarify|date=April 2013}} prior knowledge into the model and bias the assignments made by the learned model to satisf ...ng this declarative framework frees the developer from low level [[feature engineering]] while capturing the problem's domain-specific properties and guarantying ...

...ies in Microdata Release | journal=IEEE Transactions on Knowledge and Data Engineering | volume=13 | issue=6 | date=November 2001 | pages=1010–1027 | doi=10.1109/ ...nonymity.pdf | journal=International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems | volume=10 | issue=5 | date=2002 | pages=557–570| s2cid=3617 ...

...rowse.php?a_id=563&sid=1&slc_lang=en |title=International Journal of Civil Engineering |publisher=Ijce.iust.ac.ir |date=2011-09-15 |volume=9 |issue=3 |pages=155–1 ...of this input to a certain output. This does not differ from the way that knowledge is learned in a classroom, with a teacher available to correct any errors. ...