This paper defines and studies a variable selection procedure called Testing-Based Forward Model Selection. The procedure inductively selects covariates which increase predictive accuracy into a working statistical regression model until a stopping criterion is met. The stopping criteria and selection criteria are defined using statistical hypothesis tests. The paper explicitly describes a test...

Discriminative training criteria have been shown to consistently outperform maximum likelihood trained speech recognition systems. In this paper we employ the Minimum Classification Error (MCE) criterion to optimize the parameters of the acoustic model of a large scale speech recognition system. The statistics for both the correct and the competing model are solely collected on word lattices wi...

This article has been compiled to identify the best model of housing price forecasting using machine learning methods with maximum accuracy and minimum error. Five important machine learning algorithms are used to predict housing prices, including Nearest Neighbor Regression Algorithm (KNNR), Support Vector Regression Algorithm (SVR), Random Forest Regression Algorithm (RFR), Extreme Gradient B...

current practices in railway track analysis and design are reviewed and discussed in this paper. the mechanical behavior of railway track structure comprising of various components has not been fully understood due to the railway track structural complexity. although there have been some improvements in the accuracy of current track design methods in recent decades, there are still considerable...

The multivariable decision feedback equalizer (DFE) is investigated as a tool for multiuser detection and interference rejection. Three different DFE structures are introduced. The first DFE has a non-causal feedforward filter and a causal feedback filter. We show how its parameters can be tuned to give a minimum mean-square error. The second DFE is derived under the constraint of realizability...

in this paper, a new topology is proposed for three-phase to single-phase matrix converters, where more voltage levels are produced in the output in comparison with the conventional topologies. in addition, a new control method based on minimum error between the generated and the desired output voltages is proposed for three-phase to single-phase matrix converters. in the proposed control metho...

introduction: non-uniformity test is essentially the only required daily qc procedure in nuclear medicine practice. noise creates statistical variation or random error in a flood image. non-uniformity on the other hand does not have statistical nature and may be regarded as systemic error. the present methods of non-uniformity calculation do not distinguish between these two types of error. the...

In broadband wireless communication, the adaptive antenna array (AAA) is combined with orthogonal frequency division multiplexing (OFDM) to combat the inter-symbol interference (ISI) and the directional interferences. One of the two main techniques which are used in OFDM systems is called Pre-FFT, where an optimum beamformer weight set is obtained in time domain before Fast Fourier Transform (P...

A hybrid lossy/lossless audio coding is presented in this paper. The lossy coding part is based on code excitation approach where the excitation gain is adapted in a sample-by-sample fashion. Two short term predictors are used to cope with rapid time-varying nature of audio signals. The error signal between the input and the synthetic signal is sent to the decoder after arithmetic coding to ach...

Visual criteria for diagnosing diffused liver diseases from ultrasound images can be assisted by computerized tissue classification. Feature extraction algorithms are proposed in this paper to extract the tissue characterization parameters from liver images. The resulting parameter set is further processed to obtain the minimum number of parameters which represent the most discriminating patter...