A better understanding of strategies and behavior of successful searchers is crucial for improving the experience of all searchers. However, research of search behavior has been s...
The Hierarchical Hidden Markov Model (HHMM) is a well formalized tool suitable to model complex patterns in long temporal or spatial sequences. Even if effective algorithms are ava...
This paper presents a novel instruction encoding generation technique for use in architecture exploration for application specific processors. The underlying exploration methodolo...
Achim Nohl, Volker Greive, Gunnar Braun, Andreas H...
Recent work in supervised learning of term-based retrieval models has shown significantly improved accuracy can often be achieved via better model estimation [2, 10, 11, 17]. In ...
Abstract. Dynamic real-time systems function in unpredictable environments and have requirements that span many domains such as time, survivability, and scalability. The system req...
Binoy Ravindran, Lonnie R. Welch, Carl Bruggeman, ...