By K. Nakamatsu, M. Abe (Editors)
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Additional resources for Advances in Logic Based Intelligent Systems: Selected Papers of LAPTEC 2005
Hoboken: Wiley. Anderson (1935). The Irises of the Gaspé Peninsula. Bulletin of the American Iris Society, 59, 2-5. Peel (2000). Finite Mixture Models. NY: Wiley. Robert (1996). Mixture of Distributions: Inference and Estimation. In . Zacks (2003). Comparing Parameters of Two Bivariate Normal Distributions Using the Invariant FBST. Brazilian Journal of Probability and Statistics, 17, 147-168. Stern (2003). Bayesian Evidence Test for Precise Hypotheses. Journal of Statistical Planning and Inference, 117,185–198.
Figure 1 presents the dataset and posterior density level curves for the parameters, θ∗ and θ, optimized for the 1 and 2 component models. In the FBST formulation of the problem, the 2 components is the base model, and the hypothesis to be tested is the constraint of having only 1 component. The FBST selects the 2 component model, rejecting H, if the evidence against the hypothesis is above a given threshold, Ev(H) > τ , and selects the 1 component model, accepting H, otherwise. The threshold τ is chosen by empirical power analysis, see [21,22,23].
Vehicle manufacturers normally spend many months to tune-up an ECU optimally for a new car model. Moreover, the performance function is engine dependent as well. Knowing the performance function/model can let the automotive engineer predict if a new car engine set-up is gain or loss, and the function can also help the engineer to setup the ECU optimally. -m. Vong et al. / Data Transformation in Modern Petrol Engine Tune-up 31 In order to acquire the performance model for an engine, modelling techniques such as neural networks, or support vector machines could be employed.
Advances in Logic Based Intelligent Systems: Selected Papers of LAPTEC 2005 by K. Nakamatsu, M. Abe (Editors)