In this paper we introduce the concept and method for adaptively tuning the model complexity in an online manner as more examples become available. Challenging classification pro...
Recently, almost uncontrolled technological progress allows so called high-throughput data collection for sophisticated and complex experimental biological systems analysis. Espec...
Learning curves for Gaussian process (GP) regression can be strongly affected by a mismatch between the ‘student’ model and the ‘teacher’ (true data generation process), e...
We present the results of a performance evaluation of link layer error recovery over wireless links. Our analysis is based upon a case study of the circuit-switched data service i...
With the development of World Wide Web (WWW), storage and utilization of web data has become a big challenge for data management research community. Web data are essentially hetero...