— This paper presents a new reinforcement learning algorithm for accelerating acquisition of new skills by real mobile robots, without requiring simulation. It speeds up Q-learni...
Background: Boolean network (BN) modeling is a commonly used method for constructing gene regulatory networks from time series microarray data. However, its major drawback is that...
Efficiently scheduling parallel tasks on to the processors of a shared-memory multiprocessor is critical to achieving high performance. Given perfect information at compile-time, ...
Background: Bioinformatics applications are now routinely used to analyze large amounts of data. Application development often requires many cycles of optimization, compiling, and...
: In biological sequence analysis, position specific scoring matrices (PSSMs) are widely used to represent sequence motifs. In this paper, we present a new nonheuristic algorithm, ...
Michael Beckstette, Dirk Strothmann, Robert Homann...