We introduce a novel graph kernel called the Neighborhood Subgraph Pairwise Distance Kernel. The kernel decomposes a graph into all pairs of neighborhood subgraphs of small radius...
We propose and analyze two strategies to learn over unordered pairs with kernels, and provide a common theoretical framework to compare them. The strategies are related to methods...
Recognizing attack plans is one of the goals of security analysts. Attack plan recognition is critical for predicting future actions of attackers, generating possible actions (i.e...
Tatiana Kichkaylo, Tatyana Ryutov, Michael D. Oros...
This paper investigates the use and the prediction potential of semantic similarity measures for automatic generation of links across different documents and passages. First, the ...
It is easy to create new combinatorial games but more difficult to predict those that will interest human players. We examine the concept of game quality, its automated measurement...