Purpose: Effort Estimation is a process by which one can predict the development time and cost to develop software or product. Many approaches have been tried this probabilistic accurately, but no single technique has consistently successful. There many studies on effort estimation using Fuzzy Machine Learning. For reason, study aims combine Learning get better results.Methods: Various methods ...

We present an efficient coreset construction algorithm for large-scale Support Vector Machine (SVM) training in Big Data and streaming applications. A is a small, representative subset of the original data points such that model trained on provably competitive with set. Since size generally much smaller than set, our preprocess-then-train scheme has potential to lead significant speedups when S...

Many problems in classification involve huge numbers of irrelevant features. Variable selection reveals the crucial features, reduces dimensionality feature space, and improves model interpretation. In support vector machine literature, variable is achieved by l1 penalties. These convex relaxations seriously bias parameter estimates toward 0 tend to admit too many The current article presents a...