This paper introduces a new discriminative learning technique for link prediction based on the matrix alignment approach. Our algorithm automatically determines the most predictiv...
Jerry Scripps, Pang-Ning Tan, Feilong Chen, Abdol-...
To increase the bandwidth of synchronous memories that are widely adopted for high performance memory systems, a predictive mode control scheme is proposed to reduce memory latenc...
Past research studies have documented the failure of the Insurance Regulatory Information System (IRIS) to provide adequate warning of insurer financial distress or insolvency. As ...
Real-time embedded systems increasingly rely on dynamic power management to balance between power and performance goals. In this paper, we present a technique for continuous frequ...
Using a combination of machine learning probabilistic tools, we have shown that some chemistry students fail to develop productive problem solving strategies through practice alon...
Ron Stevens, Amy Soller, Alessandra Giordani, Luca...