We present a new analysis for the combination of binary classifiers. Our analysis makes use of the Neyman-Pearson lemma as a theoretical basis to analyze combinations of classifiers. We give a method for finding the optimal decision rule for a combination of classifiers and prove that it has the optimal ROC curve. We show how our method generalizes and improves previous work on combining classi...

The explanation of the multi-exponential washout of inert gas tracers from skeletal muscle is a source of controversy. The two most likely explanations are a heterogeneous flow pattern and countercurrent shunting of gas. Autoradiographs of canine skeletal muscle obtained after injection of *‘Kr indicate that heterogeneous flow is present in this preparation which would cause multi-exponential c...

Identifying an entanglement island requires exquisite control over the entropy of quantum fields, which is available only in toy models. Here we present a set sufficient conditions that guarantee existence and place upper bound on computed by rule. This enough to derive main features Page curve for evaporating black hole any spacetime dimension. Our argument makes use Wall's maximin formulation...

Synaptic plasticity was recently shown to depend on the relative timing of the pre- and postsynaptic spikes. This article analytically derives a spike-dependent learning rule based on the principle of information maximization for a single neuron with spiking inputs. This rule is then transformed into a biologically feasible rule, which is compared to the experimentally observed plasticity. This...

Interactive Stereoscopic Visualization of Very Large Visible Men on CAVE p. 41 Panoramic Spherical Video The Space Ball p. 51 Human Expressions Interaction Between Avatar and Virtual World p. 59 Progressive Curve Representation Based on Reverse Subdivision p. 67 Concept-Based Image Retrieval Using the New Semantic Similarity Measurement p. 79 Caseand Rule-Based Algorithms for the Contextual Pat...

This paper describes a new methodology based on peak load consideration for reliability evaluation of a generation system. The methodology has been developed using Simpson’s (1/3) rule for loss of load probability (LOLP) evaluation. Load models are considered as straight line and stepped load duration curve for reliability evaluation. The LOLP evaluation is based on peak load consideration. The...

We consider the discretization in time of a parabolic equation, using a representation of the solution as an integral along a smooth curve in the complex left half plane. The integral is then evaluated to high accuracy by a quadrature rule. This reduces the problem to a finite set of elliptic equations, which may be solved in parallel. The procedure is combined with finite element discretizatio...

The requirements of real-world data mining problems vary extensively. It is plausible to assume that some of these requirements can be expressed as application-specific performance metrics. An algorithm that is designed to maximize performance given a certain learning metric may not produce the best possible result according to these applicationspecific metrics. We have implemented A Metric-bas...

Fuzzy Newton-Cotes method for integration of fuzzy functions that was proposed by Ahmady in [1]. In this paper we construct error estimate of fuzzy Newton-Cotes method such as fuzzy Trapezoidal rule and fuzzy Simpson rule by using Taylor's series. The corresponding error terms are proven by two theorems. We prove that the fuzzy Trapezoidal rule is accurate for fuzzy polynomial of degree one and...