The problem of deciding whether the edge-set of a given graph can be partitioned into at most k cliques is well known to be NP-complete. In this paper we investigate this problem ...
We define a class of algorithms for constructing coresets of (geometric) data sets, and show that algorithms in this class can be dynamized efficiently in the insertiononly (data ...
This paper elaborates a model for representing semantic calendar expressions (SCEs), which correspond to the intensional meanings of natural-language calendar phrases. The model u...
The Sensitivity-Based Linear Learning Method (SBLLM) is a learning method for two-layer feedforward neural networks, based on sensitivity analysis, that calculates the weights by s...
The increasing complexity of game development highlights the need of intellectual and industrial tools to enhance productivity in terms of quality, time and cost. In this paper we...