Prosody structure prediction plays an important role in text-tospeech (TTS) conversion systems, where it is a prior step to parametric prosody prediction. Dynamic programming (DP) and decision tree based methods (DT) are widely used for this purpose, but both have well-known limitations. In this paper, we present a combination of both methods, explore the relationship between corpus size and ac...

In this article, we compare decision trees (DT) and support vector machines (SVM) in classifying gene expressions. With the explosion of genome research, tremendous amount of data have been made available and a deep insight study becomes demanding. Among various kinds of gene analysis approaches being developed, sequence based gene expression classification shows the importance due to its abili...

Based on the principle of one-against-one support vector machines (SVMs) multi-class classification algorithm, this paper proposes an extended SVMs method which couples adaptive resonance theory (ART) network to reconstruct a multi-class classifier. Different coupling strategies to reconstruct a multi-class classifier from binary SVM classifiers are compared with application to fault diagnosis ...

Airborne LiDAR is a popular measurement technology in recent years. Its feature that it can quickly acquire high precision and density 3D point coordinates on the surface. The reflective waveform of radar contains geometric structure roughness surface reflector. Combined with information from aerial photographs, help users to interpret various object types serve as basis for land cover classifi...

Selecting the most suitable filter method that will produce a subset of features with best performance remains an open problem is known as rank selection problem. A viable solution to this independently apply mixture methods and evaluate results. This study proposes novel aggregation-based multi-filter feature (FS) address high dimensionality in software defect prediction (SDP). The proposed co...

This study addresses the problem of accurately predicting azimuth and elevation angles signals impinging on an antenna array employing Machine Learning (ML). Using information obtained at a receiving system when transmitter’s signal hits it, Decision Tree (DT) model is trained to estimate simultaneously. Simulation results demonstrate robustness proposed DT-based method, showcasing its ability ...

To compete in the current data-driven economy, it is essential that industrial manufacturers leverage real-time tangible information assets and embrace big data technologies. Data classification one of most proverbial analytical techniques within cognitively capable manufacturing industries for finding patterns structured unstructured at plant, enterprise, industry levels. This article presents...