This paper introduces a method for clustering complex and linearly non-separable datasets, without any prior knowledge of the number of naturally occurring clusters. The proposed ...
This paper proposed a modified algorithm, sequential niching particle swarm optimization (SNPSO), for the attempt to get multiple maxima of multimodal function. Based on the sequen...
—This paper presents an approach for the reliability-aware design optimization of real-time systems on multi-processor platforms. The optimization is based on an extension of wel...
Jia Huang, Jan Olaf Blech, Andreas Raabe, Christia...
The classic algorithm for optimal buffer insertion due to van Ginneken has time and space complexity O(n2 ), where n is the number of possible buffer positions. We present a new a...
Supervised learning deals with the inference of a distribution over an output or label space $\CY$ conditioned on points in an observation space $\CX$, given a training dataset $D$...