Abstract. Many supervised machine learning tasks can be cast as multi-class classification problems. Support vector machines (SVMs) excel at binary classification problems, but the...
Frequent itemset mining was initially proposed and has been studied extensively in the context of association rule mining. In recent years, several studies have also extended its a...
In this paper, different circuits of Quantum-dot Cellular Automata (QCA) are proposed for the so-called coplanar crossing. Coplanar crossing is one of the most interesting feature...
Sanjukta Bhanja, Marco Ottavi, Fabrizio Lombardi, ...
FPGA placement and routing is time consuming, often serving as the major obstacle inhibiting a fast edit-compile-test loop in prototyping and development and the major obstacle pr...
We describe a fast Sequential Minimal Optimization (SMO) procedure for solving the dual optimization problem of the recently proposed Potential Support Vector Machine (P-SVM). The...