نتایج جستجو برای: forward selection

تعداد نتایج: 430598  

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه علامه طباطبایی - دانشکده اقتصاد 1389

abstract: about 60% of total premium of insurance industry is pertained?to life policies in the world; while the life insurance total premium in iran is less than 6% of total premium in insurance industry in 2008 (sigma, no 3/2009). among the reasons that discourage the life insurance industry is the problem of adverse selection. adverse selection theory describes a situation where the inf...

2015
Akhil R Pillai Chandan Kumar Verma

Japanese Encephalitis is the most important cause of epidemic encephalitis worldwide. From the reports by various sources, about 68,000 cases of Japanese encephalitis (JE) are estimated to occur each year [1]. A vaccine is available for Japanese encephalitis, which utilizes effectively killed inoculated bacteria, but it is expensive and requires a primary vaccination followed by two successive ...

Journal: :EURASIP J. Adv. Sig. Proc. 2008
Charlotte Hucher Ghaya Rekaya-Ben Othman Jean-Claude Belfiore

We propose some new adaptive amplify-and-forward (AF) and decode-and-forward (DF) protocols using a selection. The new selection criterion is a function of the instantaneous capacities of all possible transmission schemes (with or without cooperation). Outage probabilities and simulation results show that the adaptive cooperation protocols solve the problem of bad performance of cooperation pro...

2014
Geetanjali Mudaliar

In present scenario, there is a need of improving our future wireless communication system, since system suffers from the problem of low spectral efficiency, low link reliability, medium data rates and the problem of frequency selective fading. This problem can be solved by using OFDM signals. The advantage of OFDM is that it has the capacity of overcoming the frequency selective fading problem...

Journal: :IEICE Transactions 2009
Vo Nguyen Quoc Bao Hyung Yun Kong

In this paper, we study the performance of dual hop relaying in which the best relay selected by partial relay selection will help the source-destination link to overcome the channel impairment. Specifically, closed-form expressions for outage probability, symbol error probability and achievable diversity gain are derived using the statistical characteristic of the signal-to-noise ratio. Numeri...

2008
Guilherme V. Rocha Bin Yu

The Minimum Description Length (MDL) principle is an important tool for retrieving knowledge from data as it embodies the scientific strife for simplicity in describing the relationship among variables. As MDL and other model selection criteria penalize models on their dimensionality, the estimation problem involves a combinatorial search over subsets of predictors and quickly becomes computati...

Journal: :JNW 2012
Youhua Ma Zhiyong Liu Gongliang Liu Xingpeng Mao

In this paper, we consider the joint problem of relay selection and optimal power allocation for multi-relay amplify-and-forward (AF) cooperative communication system over frequency selective fading channels. An optimization model combined relay selection and power allocation under a total transmission power budget is formulated. Then, this combinatorial problem is solved in a distributed strat...

2002
Kwang Lee Sung-Hyuk Cha

This paper proposes a feature selection method that combines various feature selection techniques. Feature selection has been realized as one of the most important processes in various applications, especially pattern classification problems. When too many attributes are involved, training a machine to classify patterns into their respective classes is seemingly impossible. Hence, selecting goo...

Labonté et al provide an insightful analysis of the Trans-Pacific Partnership (TPP) and its impact on a selection of important health determinants. Their work confirms concerns raised by previous analyses of leaked drafts and offers governments serious and timely reasons to carefully consider provisions of the agreement prior to moving forward with ratification. It also contributes more general...

2007
B. Ghattas A. Ben Ishak

The problem of feature selection for Support Vector Machines (SVMs) classification is investigated in the linear two classes case. We suggest a new method of feature selection based on ranking scores derived from SVMs. We analyze the retraining effects on the ranking rules based on these scores. Our features selection algorithm consists in a forward selection strategy according to the decreasin...

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