Traditional network visualization tools inherently suffer from scalability problems, particularly when such tools are interactive and web-based. In this paper we introduce WiGis â...
Brynjar Gretarsson, Svetlin Bostandjiev, John O'Do...
Abstract. This paper investigates the methods for learning predictive classifiers based on Bayesian belief networks (BN) – primarily unrestricted Bayesian networks and Bayesian m...
We propose a new ensembling method of Support Vector Machines (SVMs) based on Feature Space Restructuring. In the proposed method, the weighted majority voting method is applied f...
The work described here introduces a practical and accurate tool for predicting power consumption for FPGA circuits. The utility of the tool is that it enables FPGA circuit designe...
Timothy Osmulski, Jeffrey T. Muehring, Brian F. Ve...
Fair allocation of payoffs among cooperating players who can form various coalitions of differing utilities is the classic game theoretic “coalition problem.” Shapley’s va...