Analytical and empirical solutions to engineering problems are usually preferred because of
their convenience in applications. However, they are not always accessible in complex …

… machine learning approach for such tasks that makes use of recent advances in ranking
methods in machine learning… performance than previous machine learning approaches; in …

… In this article, we present a machine learningbased system for the detection of malware on
Android devices. Our system extracts a number of features and trains a OneClass Support …

… most important steps in machine learning applications. For this … applications [54] and Weka
machine learning tool [55] have … In this paper, we proposed a machine learning software …

… innovative approach to making machine learning intuitively interpretable—an approach …
To fully understand this approach, one needs to read this very interesting book. What do we …

… experiments where the classifier is machine learned and tested … machine learning approaches
in single corpus experiments and the assessment of the robustness of the approaches in …

… Figure 1: We propose a machine learning approach to filter Monte Carlo rendering noise
as … We show the result of our approach with a cross-bilateral filter for the KITCHEN scene (1200 …

… Our approach uses a powerful machine learning tool - Support Vector Regression - which …
set, and possibly experiment with other machine learning tools. We are continuing to expand …

TCP throughput prediction is an important capability for networks where multiple paths exist
between data senders and receivers. In this paper, we describe a new lightweight method …

… on machine learning approach to predict air pollution. While machine learning application in
… kinds of studies that implement a machine learning approach for predicting air quality. The …