The changing economic conditions have challenged many financial institutions to search for more efficient and effective ways to assess emerging markets. Data Envelopment Analysis (DEA) is a widely used mathematical programming technique that compares the inputs and outputs of a set of homogenous Decision Making Units (DMUs) by evaluating their relative efficiency. In the conventional DEA model,...

The performance of the 3DS3 and 3DS5 3D-SHOTGUN meta-predictors in CAFASP3 is reported. The 3D-SHOTGUN meta-predictors are fully automatic fold recognition servers that attempt to incorporate into the prediction process a number of successful strategies that human predictors often apply. Namely, the input to 3D-SHOTGUN are the top five models predicted by a number of independent fold recognitio...

Cluster-weighted modeling (CWM) is a versatile inference algorithm for deriving a functional relationship between input data and output data by using a mixture of expert clusters. Each cluster is localized to a Gaussian input region and possesses its own trainable local model. The CWM algorithm uses expectation-maximization (EM) to find the optimal locations of clusters in the input space and t...

It is argued that the success of artiicial neural networks (ANNs) to date has depended almost exclusively upon the judicious choice of input representations which eeectively recode high-order input parameters as low-order parameters. It is demonstrated that, where such a recoding is required but not provided, BP ANNs fail to generalize. Of course, BP ANNs can utilize the spurious low order stat...

Using a simple example and simulations, we explore the impact of input tree shape upon a broad range of supertree methods. We find that input tree shape can affect how conflict is resolved by several supertree methods and that input tree shape effects may be substantial. Standard and irreversible matrix representation with parsimony (MRP), MinFlip, duplication-only Gene Tree Parsimony (GTP), an...

This paper presents two novel techniques to control the input match and the output match for 2.45 GHz CMOS inductively degenerated Low Noise Amplifier (LNA). These control techniques allow the compensation of all deviation of these parameters caused by the undesirable factors such as Process-Temperature-Voltage (PVT) variations, parasitic elements, etc. These techniques are studied theoreticall...

Many data mining applications operate in adversarial environment, for example, webpage ranking in the presence of web spam. A growing number of adversarial data mining techniques are recently developed, providing robust solutions under specific defense-attack models. Existing techniques are tied to distributional assumptions geared towards minimizing the undesirable impact of given attack model...

Data envelopment analysis (DEA) and multiple objective linear programming (MOLP) are tools that can be used in management control and planning. Whilst these two types of model are similar in structure, DEA is directed to assessing past performances as part of management control function and MOLP to planning future performance targets. Several equivalence models between the output-oriented DEA a...

this study was designed to find which one of the three different presentations, i.e. input, input-output, and output-input, will be more effective in iranian efl learners' vocabulary acquisitions. to this end, first 54 out of 64 female students, aged from 19 to 23 years, with an average of 21, were selected out of starter-level efl learners at the university of tarbiat moalem in bandar abb...