This paper describes a novel application of Statistical Learning Theory (SLT) for motion prediction. SLT provides analytical VC-generalization bounds for model selection; these bo...
Harry Wechsler, Zoran Duric, Fayin Li, Vladimir Ch...
The use of the statistical technique of mixture model analysis as a tool for early prediction of fault-prone program modules is investigated. The Expectation-Maximum likelihood (E...
In this paper, we derive an optimal resource allocation algorithm for ergodic weighted-sum capacity maximization in OFDMA systems assuming the availability of only partial (imperfe...
The process of collaborative engineering design is relatively complex, and often results in various conflicts due to multi-actors interactions. Therefore, a critical element of co...
Abstract. There are evolutionary trajectories in two different but related spaces, design space and niche space. Coevolution occurs in parallel trajectories in both spaces, with co...