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The aim of this work is to estimate the medication adherence of patients with heart failure through the application of a data mining approach on a dataset including information from saliva and breath biomarkers. The method consists of two stages. In the first stage, a model for the estimation of adherence risk of a patient, exploiting anamnestic and instrumental data, is applied. In the second stage,...
The knowledge remembered by the human body and reflected by the dexterity of body motion is called embodied knowledge. In this paper, we propose a new method using singular value decomposition for extracting embodied knowledge from the time-series data of the motion. We compose a matrix from the time-series data and use the left singular vectors of the matrix as the patterns of the motion and the...
Based on the problem how to model linear models with different batches of samples and information, the paper raises the method of depositing the stale, the method of bringing into the fresh and the method of depositing the stale and bringing into the fresh of Generalized Least Squares Estimator. Furthermore the estimation formula and the corresponding proof are given. This approach provides flexibility...
In this paper, we study the statistical features of Chinese foreign exchange market data. Furthermore, we mainly fit the sample tail data employed generalized pareto distribution (GPD), when building VaR model based on fat-tail distribution of extreme value theory (EVT), we show that the model can be appropriate to be applied to Chinese foreign exchange market data. We have also proposed a procedure...
Sequences that can be assumed to have been generated by a number of Markov models, whose outputs are randomly interleaved but where the actual sources are hidden, occur in a number of practical situations where data is captured as an unlabeled stream of events. We present a practical method for estimating model parameters on large data sets under the assumption that all sources are identical. Results...
To draw a model that can describe shipping freight rate fluctuation precisely has never been so important since the ship investment evaluated under the framework of real options. We set a general double exponential jump-diffusion model, which generates a leptokurtic distribution. Compared with geometric Brownian motion model, the general double exponential jump diffusion model is more appropriately...
The usefulness of persistent excitation is well-known in the control community. Thanks to a persistently excited adaptive tracking control, we show that it is possible to avoid the strong controllability assumption recently proposed in the multidimensional ARX framework. We establish the almost sure convergence for both least squares and weighted least squares estimators of the unknown parameters...
The accurate estimation of airport capacity is critical for the efficient planning of landing and takeoff operations, and the mitigation of congestion-induced delays. The analysis of tradeoffs between arrival and departure capacity at an airport, represented by the airport capacity envelope, has been the main focus of prior research. The increasing demand for air traffic operations has resulted in...
We consider the problem of attitude stabilization using exclusively visual sensory input, and we look for a solution which can satisfy the constraints of a ??bio-plausible?? computation. We obtain a PD controller which is a bilinear form of the goal image, and the current and delayed visual input. Moreover, this controller can be learned using classic neural networks algorithms. The structure of the...
When the computation of project duration, the unascertained factor of project duration is leave out in traditional PERT network. And the computing result is a determine value. In this paper, the unascertained number algorithm is introduced in order to discuss the uncertainty in project network. And the project duration is contract with the credence. Firstly, the uncertainty of project duration is...
Domain name is a new type intangible of enterprise. For the reason that we don't recognize and measure the domain self-constructed in financial accounting system, there are little study on domain's value estimation and the factors influencing its value. For the absence of value measurement, domain name's valuation management is weak in firm. With the growth of domain trade-off, how to value it become...
With the employment of the event study approach and the Generalized Autoregressive Conditional Heteroskedasticity (GARCH) model» we analyzed the stocks listed in Shanghai Stock Exchange which were also invested heavily by all open-end equity funds in Shanghai and Shenzhen market. It shows that the abnormal returns (AR) generated by these stocks during the last trading week in every quarter are statistically...
This paper proposes a method to develop the multinomial logit(MNL) model for a sequence of choices behavior that incorporates the probability of last choice in the current representative utility.The function of last probability could be additionally used as the coefficients of some part of observed component,while other alternative-specific coefficients are assumed to be variable only with their initial...
In this paper we propose a novel method to estimate the relevance between query and candidate expansion terms for Chinese information retrieval. In previous method, expansion terms are usually selected by counting term co-occurrences in the documents. However, term co-occurrences are not always a good indicator for relevance, whereas some are background terms of the whole collection. In order to remove...
This study presents a multilayer perceptron (MLP) cascaded with a logistic regression (LR) model for the probability of default (PD) estimation of real-life small and medium enterprises (SMEs). The MLP does a preprocessing for LR which is used to compute PD value. The obtained raw PD values are calibrated according to the real portfolio default average. In experiments, a Turkish SME database is used...
Breast Thermography is one of the scanning techniques used for breast cancer detection. Looking at breast thermal image it is difficult to interpret parameters of tumor such as depth, size and location which are useful for diagnosis and treatment of breast cancer. In our previous work (ITBIC) we proposed a framework for estimation of tumor size using clever algorithms and the radiative heat transfer...
The prevalence of on-line auctions has stimulated the interest of both the economists and computer scientists in an effort to understand and improve their rules. One famous form of these economic mechanisms is the double auction and, more specifically, the continuous double auction which is commonly used in today's major stock exchanges worldwide. Software agents constitute a promising tool for the...
Individual heterogeneity is important information but has not yet been considered in most researches on software outsourcing. This paper makes explicit of individual heterogeneity by using linear mixed model (LMM) based on dataset of Japan software outsourcing. Estimates prove the existence of individual heterogeneity. We also find well-defined and easy-to-monitor software are preferred in Japanese...
We consider the problem of estimating the structural breaks in a long memory FARIMA process. The number m of break points as well as their locations, the order (p, d, q) and the parameters of each regime are assumed to be unknown. To estimate the unknown parameters, we propose two criteria based on the minimum description length (MDL) principle of Rissanen, namely a direct extension of MDL and an...
The paper deals with estimation of a state with discrete values. The proposed estimation technique is evolved as an application of Bayesian filtering to a state-space model with discrete distribution. The example of filtering is shown with Bernoulli distributions. The considered problem is one of the items aiming at filtering with mixed continuous and discrete state. Illustrative experiments demonstrate...
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