Probabilistic decision graphs (PDGs) are a representation language for probability distributions based on binary decision diagrams. PDGs can encode (context-specific) independence...
In Sequential Viterbi Models, such as HMMs, MEMMs, and Linear Chain CRFs, the type of patterns over output sequences that can be learned by the model depend directly on the modelā...
Cross-traffic data rate over the tight link of a path can be estimated using different active probing packet dispersion techniques. Many of these techniques send large amounts of p...
In this paper we study the problem of classifying chemical compound datasets. We present a sub-structure-based classiļ¬cation algorithm that decouples the sub-structure discovery...
Mukund Deshpande, Michihiro Kuramochi, George Kary...
ā Network Intrusion Detection Systems (NIDS) are more and more important for identifying and preventing the malicious attacks over the network. This paper proposes a novel cost-e...