Abstract. This paper presents a neural network tree regression system with dynamic optimization of input variable transformations and post-training optimization. The decision tree ...
Miroslaw Kordos, Marcin Blachnik, Tadeusz Wieczore...
On-chip implementation of multiprocessor systems requires the planarization of the interconnect network onto the silicon floorplan. Manual floorplanning approaches will become i...
Dynamic probabilistic networks are a compact representation of complex stochastic processes. In this paper we examine how to learn the structure of a DPN from data. We extend stru...
Abstract. Active Network nodes are increasingly being used for nontrivial processing of data streams. These complex network applications typically benefit from protection between t...
Abstract. This paper considers the sensor network localization problem using signal strength. Unlike range-based methods signal strength information is stored in a kernel matrix. L...