deterministic model based method
Deterministic aided single dataset STAP method based on sparse recovery in heterogeneous clutter environments
... STAP method, which introduces the benefits of the digital terrain data into STAP applica- tions, was proposed in ...to model the inverse covariance matrix was reported in [23], a newly proposed detection ...
14
Texture Classification Using Sparse Frame-Based Representations
... new method for supervised texture classification, denoted by frame texture classification method (FTCM), is ...The method is based on a deterministic texture model in which a ...
11
Interactive Random Fuzzy Two-Level Programming through Possibility-based Fractile Criterion Optimality
... fractile model as a new decision making model, we has shown that the original random fuzzy two-level programming problem is reduced to a deterministic ...proposed method to real-world decision ...
6
A deterministic agent based path optimization method by mimicking the spreading of ripples
... Inspiration from nature often brings surprises, which has been demonstrated repeatedly by many successful advances in evolutionary computation (EC). This paper focuses on the natural ripple-spreading phenomenon and ...
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Population density equations for stochastic processes with memory kernels
... a method for solving population density equations (PDEs)—a mean-field technique describing homogeneous populations of uncoupled neurons—where the populations can be subject to non-Markov noise for arbitrary ...
11
Tree Based Deterministic Dependency Parsing — An Application to Nivre’s Method —
... tree-based model that decides head-dependency relations between trees instead of between ...ministic model. The tree-based idea is potentially applicable to various previous parsing methods; ...
5
A Mixed Deterministic Model for Coreference Resolution
... mixed deterministic model for coreference resolution in the CoNLL-2012 shared ...our model, mention detection and coreference resolution, into several sub-tasks which are solved by machine learning ...
7
SOLUTION OF A DETERMINISTIC MATHEMATICAL MODEL OF TYPHOID FEVER BY VARIATIONAL ITERATION METHOD
... a deterministic model on the analysis of direct and indirect transition dynamics of typhoid fever ...Iteration Method is employed to attempt the series solution of the ...Runge-Kutta method. ...
5
Hybrid metaheuristic method for solving a multi-period emergency service location problem
... basic model to a multi-period model and involve additional constraints on the number of units to be ...multi-period model, which controls the deviation of objective value under uncertainty of input ...
17
Generation of 2D correlated random shadowing based on the deterministic MR FDPF model
... (MR-FDPF) model [13–15], ...shadowing model by applying the method of Fraile et ...MR-FDPF model is a deterministic site-specific radio propagation model, so it possesses the ...
13
Optical Flow Measurement using Lucas Kanade Method
... OPTICAL FLOW BASED MOSTION ESTIMATION There are several methods for motion estimation [2]: Feature matching methods; Pel-recursive methods; Deterministic model based methods; Sto[r] ...
5
Modeling the Effect of Periodic Wall Roughness on the Indoor Radio Propagation Channel
... The PDP is then obtained as the square of the impulse response. Moreover, in order to validate the wideband model (described by (6), (7) and (8)), the impulse response of the corresponding frequency transfer ...
13
A Survey of Data Mining Clustering Analysis
... ABSTRACT: Clustering analysis is a collection of objects. It is used in various applications in the real world such as text mining, image processing, web mining, market research, pattern recognition, data analysis and so ...
5
Deterministic randomness in a model of finance and growth
... Abstract: Following the literature on growth, cycles and financial development, this paper develops an endogenous growth model where the source of endogenous business cycles relates to the allocation of credit ...
20
Comprehensive Review of Deep Reinforcement Learning Methods and Applications in Economics
... AE method in risk management [97] and LSTM-SVR approach [101] in investment problem, showed that they enable agents to considerably maximize their revenue while taking care of risk constraints with reasonable high ...
43
Non-interference for deterministic interactive programs
... We start by considering some motivating examples. These examples show that interactive programs may enable quite subtle covert channels, in which attackers can exploit information gained from previous out- puts in order ...
15
A Model for Potential Deterministic Effects in Turbomachinery Flows
... transport model which adds determin- istic stresses by means of source terms to the sta- tionary ...Calculations based on the pro- posed model are described and compared with the time-accurate and ...
6
Solution strategies for a supply chain deterministic model
... Most existing studies assume a single transportation mode with a fixed lead-time. Matta and Miller (2002) study the problem of coordinating production and transportation scheduling decisions, in particular, how changes ...
99
Intracellular PD Modelling (PDi) for the Prediction of Clinical Activity of Increased Rifampicin Dosing
... deterministic PK–PD mathematical model, based on in vitro Mtb growth and kill rates in both intracellular and extracellular environments, which, when linked to th[r] ...
13
Dual drive tracking servomechanism
... plant noise is inevitable and a finite memory Kalman filter is called for, the system may then be remodelled as a combination of two systems, a deterministic model based on the measurabl[r] ...
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