The inverse normal and Fisher's methods are two common approaches for combining P-values. Whitlock demonstrated that a weighted version of the inverse normal method, or 'weighted Z-test', is superior to Fisher's method for combining P-values for one-sided T-tests. The problem with Fisher's method is that it does not take advantage of weighting and loses power to the weighted Z-test when studies...

In this paper, we study the basic diversity combining techniques and investigate analytically-derived closed-form expressions for the capacities per unit bandwidth for Rayleigh fading channels with equal gain combining (EGC) diversity. We consider different channel performance adaptation policies such as: power and rate adaptation with constant transmit power, channel inversion with fixed rate,...

In this paper we present a system for personalized offers based on two main components: a) a hybrid method, combining rules and machine learning, to find users that post life events on social media networks; and b) an entity matching algorithm to find out possible relation between the detected social media users and current clients. The main assumption is that, if one can detect the life events...

Rules and ontologies play a key role in the layered architecture of the Semantic Web, as they are used to ascribe meaning to, and to reason about, data on the Web. While the Ontology Layer of the Semantic Web is quite developed, and the Web Ontology Language (OWL) is a W3C recommendation since a couple of years already, the rules layer is far less developed and an active area of research; a num...

To improve weak classifiers bagging and boosting could be used. These techniques are based on combining classifiers. Usually, a simple majority vote or a weighted majority vote are used as combining rules in bagging and boosting. However, other combining rules such as mean, product and average are possible. In this paper, we study bagging and boosting in Linear Discriminant Analysis (LDA) and t...

The papapresents the results of the project CORARC, funded by the Italian Ministry for University and Scientific Research. aimcd at developing a Wcb based system, called SITUS, to support the management of information for archaeological sites. Thc system supports, through a relational database and a G I s server, the archival and management of multiniedia and cartographic data coming fsom a s t...

Two types of combining strategies were evaluated namely combining skin features and combining skin classifiers. Several combining rules were applied where the outputs of the skin classifiers are combined using binary operators such as the AND and the OR operators, “Voting”, “Sum of Weights” and a new neural network. Three chrominance components from the YCbCr colour space that gave the highest ...

— In this paper, we introduce a novel link layer cooperation technique in noisy wireless networks to improve overall system throughput and reliability, and to reduce the cost of retransmission and energy consumption. Under a cluster-based network design, code combining [1] is used together with FEC to improve the link layer reliability. This approach is different from how code combining is used...

financial companies are constantly exposed to the dangers of risk. in the last few years for various reasons, measuring value at risk (var) has become increasingly important for financial firms. the study of multiple measures of risk, var measure with a new approach provides the ground for calculation of market risk. common approaches to risk measurement due to complicated, nonlinear and changi...