Mathematical decision framework for threshold optimisation
A Mathematical Framework for Statistical Decision Confidence
... on decision confidence. Behaviorally, our framework makes it clear that even statis- tically optimal confidence reports can appear to show systematic ...our framework makes it clear this apparent ...
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A mathematical optimisation model of a New Zealand dairy farm: The integrated dairy enterprise (IDEA) framework
... nonlinear optimisation model of a New Zealand dairy farming system is ...The framework is notable for its rich portrayal of pasture and cow biology that add substantial descriptive power to standard ...
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Generalization Error Bounds for Threshold Decision Lists
... call threshold decision lists act as ...linear threshold function (or ...of threshold decision lists and on the special subclass of multilevel threshold ...
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An integrated framework for maintenance optimisation with petroleum industry
... joint decision-m aking strategy should be able to significantly reduce th e total operating-cost in today’s production p ro c e sse s a s a new sp are part inventory control ...
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An optimisation framework for determination of capacity in railway networks
... Fig. 7 Calculation time for each step in the algorithm. 4.1 Sample size and computational results To investigate the impact of sample size on capacity results, we have tested three different sample sizes for the capacity ...
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Mathematical framework for traction force microscopy
... R´ esum´ e. Cet article est consacr´e au probl`eme de la Microscopie ` a Force de Traction (TFM). Ce probl`eme consiste ` a d´eterminer les contraintes exerc´ees par une cellule lors de sa migration sur un substrat ...
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New method for the mathematical derivation of the ventilatory anaerobic threshold: a retrospective study
... warm-up data). The function was expressed as y = ba x . Subsequently, the straight tangent line parallel to R = 1 was drawn by using differential calculus. This was done based on the framework of our visual method ...
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Markov Decision Process Model for Optimisation of Patient Flow
... a release of a certain number of patients is more significant in the Very High state than in the High state. The cost, on the other hand, is assumed to increase with the number of patients released from the system. In ...
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CiteSeerX — A Mathematical Framework for Asynchronous, Distributed, Decision-Making Systems with Semi-Autonomous Entities:Alies: Synthesis, Simul and Eval
... Xiaolin Ge served as a post doctoral researcher with Prof. Anil Nerode at Cornell University in 1994. His photo and bio were unavailable at the time of printing. Anil Nerode is the Goldwin Smith Professor of Mathematics ...
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An integrated framework for optimisation of oil field production area
... the mathematical model and heuristic model discussed before, computation simulation can be used to study simple systems but it is preferable when dealing with more complex ...
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Analytical target cascading framework for engine calibration optimisation
... Design Optimisation (MDO) framework for the steady state engine calibration optimisation ...convenient framework for the engine calibration optimisation problem based on steady state ...
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A development and integration framework for optimisation based enterprise solutions
... 3.3.2 Auxiliary Platform The auxiliary platform is another tool specially con- ceived to aid on the research of the optimisation tech- niques. It consists of a repository of problem in- stances and solutions, plus ...
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Voting rule optimisation for double threshold energy detector-based cognitive radio networks
... Single Threshold Detection: Energy detection is not an ideal candidate for cognitive radio since it is a sub-optimal pro- cess [14], and has been shown to be susceptible to uncertainty in parameter measurements ...
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Applications of a Global Workspace Framework to Mathematical Discovery
... In addition to upgrading the concept forming processes, we made a few changes to some other exist- ing processes. In particular, using the notion of generator variables, DefinitionReviewer was improved to also check ...
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Applications of a Global Workspace Framework to Mathematical Discovery
... In addition to upgrading the concept forming processes, we made a few changes to some other exist- ing processes. In particular, using the notion of generator variables, DefinitionReviewer was improved to also check ...
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Automated Trading Systems: Support/resistance line detection using mathematical. optimisation
... ABSTRACT Automated Trading Systems generate buy / sell orders in response to rapidly changing markets by consulting a decision making engine or knowledge base - which may or may not evolve over time in order to ...
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Mathematical optimisation of drainage and economic land use for target water and salt yields
... the framework used to calculate ‘second-best’ target options and their ...Our framework links biology, which drives profitability at the whole farm level, with hydrology at subcatchment and catchment ...
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Mathematical algorithms for optimisation of large scale systems
... Simulation results show superiority of the double iterative algorithm over that of single loop method in considerably reducing the number of times that information is required from the r[r] ...
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Threshold learning for optimal decision making
... Abstract Decision making under uncertainty is commonly modelled as a process of com- petitive stochastic evidence accumulation to threshold (the drift-diffusion ...these decision thresholds. We ...
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Mathematical Modelling of Threshold Voltage based Resistive Memory
... 1 S V U College of Engineering, A.P., INDIA ________________________________________________________________________________________________________ Abstract: The fourth fundamental electrical circuit element, memristor ...
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