Abstract. Incremental learning of sensorimotor transformations in high dimensional spaces is one of the basic prerequisites for the success of autonomous robot devices as well as b...
The difficulty of handling out-of-core data limits the performance of supercomputers as well as the potential of the parallel machines. Since writing an efficient out-of-core ve...
Mahmut T. Kandemir, Alok N. Choudhary, J. Ramanuja...
—Consider the problem of a robot (learning mechanism or algorithm) attempting to locate a point on a line. The mechanism interacts with a random environment which essentially inf...
The design of programmable logic architectures and supporting computer-aided design tools fundamentally requires both a good understanding of the combinatorial nature of netlist gr...
Michael D. Hutton, Jonathan Rose, Derek G. Corneil
We present a novel framework for mapping between any combination of XML and relational schemas, in which a high-level, userspecified mapping is translated into semantically meanin...