Background: Gene expression studies greatly contribute to our understanding of complex relationships in gene regulatory networks. However, the complexity of array design, producti...
This paper presents a framework for efficient HMM-based estimation of unreliable spectrographic speech data. It discusses the role of Hidden Markov Models (HMMs) during minimum mea...
Design combinatorial theory for test-case generation has been used successfully in the past. It is useful in optimizing test cases as it is practically impossible to exhaustively t...
In this paper, we present a stream-based mining algorithm for online anomaly prediction. Many real-world applications such as data stream analysis requires continuous cluster opera...
A novel and very simple correct-by-construction top-down methodology for high-utilization mixed-size placement is presented. The PolarBear algorithm combines recursive cutsize-dri...