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...of that class as positive samples and all other samples as negatives. This strategy requires the base classifiers to produce a real-valued score for its decisi Although this strategy is popular, it is a [[heuristic]] that suffers from several problems. First ...

...ef name="Kirchner"/> Some authors use the term to refer to an [[evaluation strategy]].<ref>{{cite journal |last1=Selinger |first1=Peter |last2=Valiron |first2= ...te=14 August 2021 |language=en}}</ref> In addition the normal forms of the strategy must be the same as the normal forms of the original rewriting system, i.e. ...

==== Fitness evaluation and replacement strategy ==== ...angle. Chromosomes failing the check are assigned fitness value 0. Elitist strategy is applied for old generation replacement. After reproduction the best chro ...

=== Evaluation strategy === ...ent between lazy and eager evaluation. This difference is described in the evaluation formulas. ...

{{Short description|Abstract strategy game}} In [[combinatorial game theory]], a '''subtraction game''' is an [[abstract strategy game]] whose state can be represented by a [[natural number]] or [[Vector ( ...

...Eng. Chem. Res. | volume = 44 | issue = 8 | year = 2005 | title = Critical Evaluation of Extended Kalman Filtering and Moving-Horizon Estimation | pages = 2451–2 ...g strategy until time <math>t</math>. Only the last step of the estimation strategy is used, then the process state is sampled again and the calculations are r ...

...step removes prior information that is inconsistent with a data set. This strategy substantially improves unsupervised predictions of pathway activity that ar == Strategy == ...

: <math> f(\cdot) </math> is the objective function or evaluation function. === An update strategy === ...

'''Informed search''' (also known as '''heuristic search''') is a strategy of [[State space search|searching for solutions in a state space]] that use ...e to expand is selected based on the '''evaluation function''' ({{langx|en|evaluation function}}) ...

== Integrated Deliverable Approach Workshop Methodology with Idea Evaluation == ...|first4=Mirela |date=October 2006 |title=The Role of Strategy Workshops in Strategy Development Processes: Formality, Communication, Co-ordination and Inclusio ...

...ssociation between the indices and the closures at a given time during the evaluation. The first element of the environment is the closure associated with the in ...moves the parameter of an application and put it on the stack for further evaluation. The transition '''''Abs''''' removes the λ of the term and pop up the clo ...

...ntially reducible term (''potential [[redex]]'') using a given [[reduction strategy]], if this potential redex exists in <math>p_n</math> (otherwise <math>p_n< Say that the [[reduction strategy]] is leftmost-innermost (i.e., depth first and left to right), as captured ...

...ncrete example of Thompson sampling applied to simulate treatment efficacy evaluation]] ...es are observed 40% of the time, the observer using a probability-matching strategy will predict (for unlabeled examples) a class label of "positive" on 60% of ...

'''Bayesian optimization''' is a [[sequential analysis|sequential design]] strategy for [[global optimization]] of [[Black box|black-box]] functions,<ref name= ==Strategy== ...

...tegy ''A'' for well-prepared students, but strategy ''A'' were superior to strategy ''B'' for poorly prepared students, the two treatment differences would hav ...|B}} groups (even in the complete absence of an effect due to the teaching strategy). ...

Measurements of active return play a big role in investment manager evaluation, compensation, and selection.<ref>{{Cite web|url=http://www.actuaries.org/I ...ent strategies]] in a single portfolio, such as [[fund of funds]] or multi-strategy portfolios, investment managers could use qualities of active returns of pa ...

...ncorporates different transformations (Global, Elastic, Local), optimizing strategy (Gauss-Newton, Steepest descent), Global and/or local shape functions (Rigi ...[bilinear interpolation]] and [[bicubic interpolation]] for the grey level evaluation at non integer coordinates. The bi-cubic interpolation is the recommended o ...

{{Short description|FRP is a widely applied computational strategy in computer science.}} '''Filter and Refine Principle''' ('''FRP''') is a general computational strategy in [[computer science]].<ref name="1999paper">{{cite conference |last1=Park ...

...=Ennis|first4=Lisa A.|title=Is the Time and Effort Worth It? One Library's Evaluation of Using Social Networking Tools for Outreach|journal=Medical Reference Ser ...it is paid or free, it allows marketers to track the performance of their strategy and tweak it based on what works and what does not. ...

...rical response of predators to prey density. In: Hughes, Ed., Quantitative Evaluation of Natural Enemy Effectiveness. J. Applied Biol. 10:342-351. 1973.</ref> In ...f numerical response becomes practically important when trying to create a strategy for [[pest control]]. The study of spiders as a biological mechanism for pe ...